ArticlePDF Available

Ultrasonic vibration-assisted micro-milling: A comprehensive review

Authors:
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
Journal of
Advanced Manufacturing Science and Technology
jamst@jamstjournal.comjamst2020@126.com
www.jamstjournal.com
2025009-1
Journal of
Advanced Manufacturing
Science and Technology
《先进制造科学与技术》国际期刊
ISSN: 2709-2135
eISSN: 3008-0991
Scopus数据库收录 CiteScore 2023=4.1
大连理工大学 & 航空发动机先进制造技术教育部工程研究中心 主办
Ultrasonic vibration-assisted micro-milling:
A comprehensive review
Sami ULLAHa, Zhiqiang LIANGa,b, c,* ,Yuchao DUa,*, Zhipeng SUa, Cheng GUOd,
Zhen YINe, Haofei GUOa, b, Yoomi KIMa, Tianfeng ZHOUa,b, Xibin WANGa
aSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
bBeijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China
cBeijing Institute of Technology, Zhengzhou Academy of Intelligent Technology, Zhengzhou 450000, China
dShenzhen University, Shenzhen 518060, China
eSuzhou University of Science and Technology, Suzhou 215009, China
Received 22 January 2024; revised 15 March 2024; accepted 28 March 2024; Available online 3 September 2024
Abstract: Mechanical micro-milling has become a prominent micromachining technique in recent years, and it has advanced high machin
ing efficiency and precision. The advantages of versatility, utility, cost-effectiveness, and efficiency make it suitable for varied industries
such as biomedicine, electronics, aerospace, and aviation. However, Conventional Micro-Milling (CMM) faces difficulties, particularly in
dealing with difficult-to-cut materials. To solve the above problems, Ultrasonic Vibration-Assisted Micro-Milling (UVAMM) is proposed,
which can efficiently address the challenges of machining difficult-to-cut materials. UVAMM is able to inhibit chip formation and reduce the
intense friction between the flank surface of the tool and the machined surface. Whats more, it can reduce cutting forces, cutting tempera
ture, and residual stress on the workpiece surface. Finally, it leads to an enhancement in the finished surface quality of difficult-to-cut materi
als, maximizing the overall machining performance. This paper reviewed UVAMM processing, such as mathematical modeling, chip forma
tion, burr formation, tool wear, cutting forces, cutting temperature, and surface morphology. Furthermore, the finite element simulation of
UVAMM and the significance of Minimum Quantity Lubrication (MQL) in UVAMM are discussed. At the end, advantages of UVAMM for
difficult-to-cut materials such as titanium alloys, steel alloys, nickel-based alloys, aluminum alloys, composites, brass, and optical glass are
summarized.
Keywords: Ultrasonic vibration-assisted micro-milling (UVAMM); Mathematical modeling; Chip formation; Surface roughness; Minimum
quantity lubrication (MQL), Difficult-to-cut materials
2025009
1. Introduction
The need for precision and micromachining technologies, which
are used to create mechanical components with characteristics that
are measured in microns, has been rapidly increasing in biomedi
cine, electronics, aerospace, and aviation industries 1-8, as presented
in Fig. 1. With the increasing demands of these industries, conven
tional micromachining techniques cannot meet the requirements
since they have reached their upper limit 9-11. To address this defi
ciency, it is necessary to investigate and implement novel microma
chining techniques capable of efficiently fabricating complex me
chanical components at the micron scale 12. Specially, it involves la
ser microfabrication 13-15 , lithography, electroplating and shaping
(LIGA) 16,17 , deep UV lithography 18,1 9, electrical discharge machin
ing 20-22, deep reactive ion etching 23,24, and mechanical microma
chining techniques 25-29. These methods have very high precision
and minor tolerances, but there are still many problems, such as
working time, cost, material compatibility, thermal deformation,
and preprocessing. In order to achieve greater productivity, cost-ef
fectiveness, and processing flexibility, we require novel surface pro
cessing technologies that use conventional cutting techniques 12.
Previous studies show that ultrasonic vibration-assisted cutting
(UVAC) proved to be an innovative technique to promote process
ing performance and product quality 30-3 2. UVAC is a cutting meth
od that improves cutting efficiency by applying vibration to a tool
or workpiece 33. The main idea of UVAC is to separate the tool and
workpiece repeatedly. UVAC was first used in the late 1950s 34.
Then, UVAC is now widely used in the precision manufacturing of
various materials. UVAC produces thinner chips and reduces cut
ting forces, resulting in higher machining efficiency, longer tool
life, better surface quality, and a more precise shape while reducing
burr formation 30,34-37.
Ultrasonic vibration-assisted micro-milling (UVAMM) is an ad
vanced machining method that involves introducing vibration into
————
* Corresponding author. E-mail address: liangzhiqiang@bit.edu.cn(Zhiq
iang LIANG), dycfelix@163.com(Yuchao DU)
Peer review under responsibility of Editorial Committee of JAMST
DOI: 10.51393/j.jamst.2025009
2709-2135©2025 JAMST
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-2
the machining process 33. According to previous researchers, it can
be classified into various types according to the vibration direction,
which can be either one-dimensional 38, two-dimensional 39 , or
three-dimensional 40. Ultrasonic vibration can be applied to either
the cutting tool or the plane of the workpiece in UVAMM 38. It
plays an important role in satisfying the increasing need for tiny
components with complex 3D geometries. The size effect has an
impact on the blunt radius of cutting tools, and it is no longer ac
ceptable to ignore it, especially when working with difficult-to-cut
materials 41. UVAMM is considered a highly effective method for
machining difficult-to-cut materials. So, it leads to a distinctive cut
ting action in comparison to equivalent machining 42 . Whats more,
the latest research has shown significant interest in UVAMM for
difficult-to-cut materials, which is able to solve the challenges re
sulting from conventional micro-milling (CMM). So, the research
ers have extensively studied UVAMM, investigating its application
in difficult-to-cut materials 43. Based on these benefits of UVAMM,
many researches concerning further machining mechanism were
conducted. For example, relationship between the ratio of mini
mum chip thickness to cutting-edge radius and many parameters,
such as the plowing effect, effective rake angle, and specific cutting
energy of the machined surface, has been noted. Furthermore, it
can directly impact the cutting performance and reduce the impact
of both the size effect and the plowing effect 44-46. Consequently, it
can enhance cutting efficiency by avoiding these negative impacts.
UVAMM has revealed significant developments in recent years
and offered a lot of benefits compared to CMM. Many studies have
investigated the impact of various processing parameters, such as
frequency, amplitude, workpiece material, microstructure, and ef
fective tool trajectories, on output parameters such as chip forma
tions, burr formation, tool wear, milling forces, milling tempera
ture, and surface roughness. For example, UVAMM has enhanced
efficiency in chip breaking through the application of ultrasonic vi
brations 47, resulting in a reduction in unwanted burr formation,
which is a common issue in CMM 48,49. It can result in producing
smoother and more precise machined surfaces. In addition,
UVAMM helps reduce tool wear while improving their service life
and cost-effectiveness 50. UVAMM outperforms CMM by employ
ing ultrasonic vibrations to help with the cutting process, resulting
in reduced cutting forces and the generation of heat. This method
improves material removal accuracy while reducing cutting forces
51,52, reducing cutting temperature 53, and leading to the improve
ment of precision and operational effectiveness. As a result, it pro
duced a smoother and more precise machined surface by reducing
the surface roughness in comparison to CMM 36,54.
The primary objective of this article is to provide an in-depth re
view of the most recent developments in UVAMM. It encompasses
various aspects such as UVAMM processing, which include mathe
matical modeling, chip formation, burr formation, tool wear, cut
ting forces, cutting temperature, and surface morphology; the finite
element simulation of UVAMM; the significance of MQL in
UVAMM; and applications of UVAMM for difficult-to-cut materi
als such as titanium alloys, steel alloys, nickel-based alloys, alumi
num alloys, composites, brass, and optical glass. The main purpose
is to integrate and explain the most recent knowledge and develop
ments in the field of UVAMM.
2.Ultrasonic vibration-assisted micro-milling
(UVAMM) processing
In UVAMM, high-frequency and low-amplitude vibration is ap
plied to the microscopic tool or workpiece to improve the efficien
cy of material removal, particularly for difficult-to-cut materials.
Compared with CMM, UVAMM even removes dislocations within
the crystal structure of the material that hinder the material's ability
to deform and make it harder. By reducing dislocations, the materi
al strength reduces and it becomes easier to cut, which helps to
break the chips more effectively, and ultimately, the friction and
heat generation between the cutting tool and the workpiece reduce.
In addition, vibration helps to remove chips from the milling zone
and prevent their re-engagement, which results in a reduction in
cutting forces, tool wear, and burr formation. As a result, the mate
rial undergoes a change in its physical properties and becomes soft
er or more pliable, allowing for smoother cutting and improved
surface finishes 55,56. However, the significance of thermal soften
ing compared to dislocation activation depends on the material
properties and machining parameters. UVAMM has emerged as a
potential response to the increasing difficulties in achieving higher
levels of precision and efficiency in production 57,58. Fig. 2 illus
trates different types of ultrasonic vibration-assisted milling
(UVAM) and categorizes them based on distinct tool tip path char
acteristics. Every type presents distinct benefits and is appropriate
for specific applications. Fig. 3 illustrates the percentage of studies
conducted in UVAMM processing that involve different output pa
rameters such as mathematical modeling, chip formation, burr for
Fig. 1 High precision micro milling structures (a) Electric vacuum amplifier 1(b) Micro-nozzles 2(c, d) Micro-machining components 3,4
(e) Micro-pin fins 5(f) Micro-channels 6(g, h) Micro-molds 7,8
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-3
mation, tool wear, cutting forces, cutting temperature, and surface
morphology.
2.1. Mathematical modeling of machining mechanism
The introduction of mathematical modeling in UVAMM offers
an organized approach to understand and improve the complex rela
tionships inside machining processes. The researchers aim to repre
sent the changing relationships between the different components
which influence UVAMM by employing mathematical equations.
This model can accurately assess the quantitative effects of ultra
sonic vibration on variables such as tool wear, milling force, and
surface quality 50,59,60. By employing mathematical models, research
ers can simulate and predict the complex movement of tools and
workpieces in the context of UVAMM 50,61. This enables them to
gain significant insights into optimizing the process, developing
tools, and enhancing overall performance in micro milling applica
tions. Table 1 provides an overview of the mathematical models
that have been developed using UVAMM.
2.2. Chip formation
Undeformed chip thickness is an important consideration in mi
cro-milling as it directly impacts chip formation, milling forces,
surface roughness, and tool wear. The significance of it resides in
its size, which is comparable to the radius of the cutting edge, lead
ing to possible scale effects. Consequently, numerous models have
been suggested for predicting the undeformed chip thickness in mi
cro-milling 6 3. However, the chip thickness produced in UVAMM
different from that in CMM because of the alteration in the tool
tip's relative path. The difference becomes more evident when the
design of the object that is being worked on develops complex and
experiences vibration 49.
In the field of micromachining, the impact of the cutting-edge ra
dius becomes noticeable when the thickness of the chip that has not
been deformed falls below a specific value known as the minimum
chip thickness, as presented in Fig. 4. The minimum chip thickness
has a major impact on several machining factors, including as mill
ing forces, tool wear, surface integrity, and process stability. Hence,
it is essential to determine the minimum chip thickness in order to
choose suitable machining conditions 64.
The microchip removal method illustrated in Fig. 5 demon
strates the essential importance of the minimum chip thickness.
When the undeformed chip thickness (h) is below the minimum
chip thickness (hmin)65, as illustrated in Fig. 5(a), the cutting tool
only applies force to the material without generating chips. This
results in elastic deformation and affects the surface quality. As h
reaches hmin in Fig. 5(b), chips start to form due to the shearing ac
tivity in the main shear zone, and the impact of ploughing be
comes noticeable. When h is more than hmin (as seen in Fig. 5(c)),
there is a continual generation of chips due to stable plastic defor
mation in the shear zone, even though there is some elastic materi
al recovery. Usually, the initial thickness of the chip (h) is greater
than the amount of material being removed, comparable to the way
material is removed in quasi-homogeneous materials 63 . Son et al. 66
presented an advanced approach for ultra-precision cutting. The
purpose of the model is to calculate the smallest possible thickness
of an unaltered metal chip, known as the minimum chip thick
ness (hmin).
Fig. 3 Development trend of the UVAMM studies.
Fig. 2 Types of ultrasonic vibrations in milling process.62
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-4
hmin =re
( )
1cos
( )
π
4β
2
(1)
In Eq. (1), hmin is minimum undeformed chip thickness, reis radi
us of the blunt circle of the cutting edge, and βis the friction angle
between the tool and the workpiece material.
On the other hand, a phase difference between two adjacent tool
cutting trajectories during UVAMM machining will cause a change
in the chip thickness. Some sections of the chip observe a relative
increase in thickness, while other sections maintain a relative thin
Fig. 5 Illustration of microchip removal mechanism.80 ,81
Fig. 4 Effect of micro milling tool cutting edge radius on chip morphology.41
Table 1 Summary of mathematical modeling in UVAMM.
No.
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
Authors
Ding et al. 49,59
Lian et al. 37
Ibrahim et al. 3 8
Ibrahim et al. 7 0
Chen et al. 71
Zheng et al. 72
Zhang et al. 73
Mokhtari et al. 39
Tan et al. 54
He et al. 74
Sobamowo et al. 75
Zheng et al. 50
Shang et al. 61
Huan et al. 53
Yuan et al. 76
Shang et al. 77
Yuan et al. 78
Yan et al. 40
Zhang et al. 48
Su et al. 79
Year
2010-2011
2013
2014
2015
2018
2019
2019
2019
2019
2019
2020
2020
2020
2022
2022
2022
2022
2023
2023
2023
Vibration type
2D
1D
1D
2D
2D
1D, 2D
1D
2D
2D
1D
1D
2D
2D
2D
1D
2D
1D
2D
1D
3D
Mathematical models
Machining process dynamics, milling force model, tool kinematics
trajectory, chip thickness model
Tool kinematics trajectory
Cutting tolerance, surface finish, tool wear
Kinematic motion trajectory of tool
Dynamic analysis of vibrator, tool kinematic trajectory, surface tex
ture generation
Surface generation modeling
Cutting force prediction model, undeformed chip thickness model
UVAMM system model, motion model
Principle of UVAMM
Mechanism of UEVAMM
Cutting force model, dynamic behavior, chip thickness
Tool kinematic trajectory, tool-workpiece separation
Tool kinematic trajectory, tool-workpiece separation
Tool kinematic trajectory
Tool kinematic trajectory
Cutting temperature model
Tool kinematic trajectory
Surface formation mechanism
Tool kinematic trajectory
Tool kinematic trajectory, surface topography model
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-5
ness. Therefore, these elements have a natural tendency to break.
The chips generated under these circumstances exhibit significant
differences in terms of thickness and length when compared to
those produced in a CMM. The phenomenon demonstrates the
unique thickening cutting properties that are specific to the
UVAMM process. According to Fig. 6(a), chip production in
UVAMM mostly involves the extrusion process occurring between
the cutting edge and the workpiece. Moreover, chip creation in
UVAMM involves a combination of expansion and edge impact.
Chip deformation is caused by the application of ultrasonic stress.
It is important to mention that in UVAMM, although the unde
formed cutting thickness (h) being smaller than the minimum cut
ting thickness (hmin) needed for conventional chip production, ultra
sonic vibration can increase the cutting thickness over hmin , result
ing in periodic modifications in the cutting shape. Fig. 6(b) demon
strates the effectiveness of ultrasonic vibration in continuously
maintaining the cutting thickness at a steady value 48,7 8. In addition,
once the cutting-edge radius and material are determined, the mini
mum cutting thickness in UVAMM becomes a constant value. For
a given cutting edge radius and material, such as Inconel718, the
minimum cutting thickness remains constant, irrespective of other
variables. Eq. (2) is a mathematical formula for determining the
minimum chip thickness for cutting Inconel718 82.
hmin = 0.25 (2)
where, rerepresent the cutting-edge radius.
Fig. 7(a) illustrates the shear deformation that takes place in the
chips while conventionally cutting a ductile material. The main
shear deformation takes place within the shear plane, whereas the
secondary shear deformation is a result of the friction between the
chip and the tool. In conventional cutting, the deformation zone re
sulting from secondary friction is oriented in the opposite direction
of the chip flow. This leads to the production of a shear flow shape,
as illustrated in the figure. The shear flow is influenced by the ellip
tical trajectory of the cutting tool and the reversal of the frictional
direction. The shear angle (фE VC) in ultrasonic elliptical vibration
cutting (UEVC) is typically greater than in conventional cutting be
cause of the elliptical tool path. Fig. 7(b) demonstrates that a great
er shear angle leads to a decrease in chip thickness, which in turn
leads to a decrease in milling force. UEVC is a cutting technique
where the cutting process occurs in an elliptical path within a plane
that includes the cutting and chip flow directions, as illustrated in
Fig. 8. In the case of brittle materials (as shown in Fig. 8(a)), the
UEVC technique utilizes a greater tool amplitude in the thrust di
rection, leading to a larger uncut chip thickness (tu c) compared to
typical cutting. The UEVC method applied to ductile materials (as
shown in Fig. 8(b)) results in the formation of smooth and continu
ous chips due to the workpiece material's ability to deform without
breaking. While the overall shape of the chip seems comparable in
Fig. 7(a) and 8(b), there is a variation in the shear flow within the
chip. UVAC of materials that can bend without breaking, friction
between the material and the tool causes a distortion in the shear
flow lines along the elliptical direction of the tool, compared to the
direction of cutting 83.
The determination of chip thickness parameters in UVAMM is
influenced by two primary criteria 67-69: 1) The free time ratio (FTR)
refers to the period in which the tool is not actively removing mate
rial in cutting mode. The measurement of the cut area is of utmost
importance, and the proportion of time during which cutting does
not occur is referred to as the FTR in 2-D UVAMM. It can be ex
pressed in writing form.
FTR = Tnocutting
Tvalidtime
× 100% (3)
Tnocutting refers to the duration during which the tool tip is present in
the cutting region without cutting, whereas Tvalidtime indicates the
overall duration during which the tool tip is present in the cutting
area. FTR is influenced by the vibration and cutting conditions. En
hancing FTR by the optimization of vibration and cutting settings
leads to improved chip evacuation conditions, enhanced cutting ac
curacy, and improved tool life 34. 2) The amplitude ratio (AR) ad
dresses the issue of variations in the distribution of chip thickness
in 2-D UVAMM, particularly noticeable during micro milling. AR
analysis is utilized to calculate the extent of these variations, which
is technically defined as
AR = Avibration
fz
× 100% (4)
The term Avibration refers to the maximum magnitude of the chip thick
ness, while fzrepresents the feed per tooth. Minor tool-workpiece
collisions influence material removal, but greater AR values result
in more significant collisions. When collisions exceed critical lev
els, they might cause damage to the tools. This emphasizes the im
portant function of AR as a factor that reflects and influences the 2-
D VAMM process.
Several researchers conducted a study on the chip formation
mechanism in UVAMM, providing valuable insights and methodol
ogies. Zhang et al. 73 developed a technique to measure tool vibra
tion in real-time by employing differential equations of motion.
This method enables the addition of process damping effects as
feedback to control the undeformed chip thickness. Yuan et al. 78 in
vestigated the impact of cutting conditions on chip formation in
UVAMM and made a comparison with CMM. Their findings dem
onstrated that without ultrasonic vibration, chips of considerable
Fig. 6 Illustration of Chip formation process in UVAMM (a) Effect of
chip deformation (b) Increases hin cutting.
Fig. 7 Chip formation mechanism83 (a) Ductile material in conventional
cutting (b) Effect of the shear angle on the chip thickness.
Fig. 8 Illustration of chip formation mechanism in elliptical vibration
cutting83 (a) brittle material (b) ductile material.
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-6
length and spiral shape were generated. However, the application of
ultrasonic vibration causes a conversion of spiral chips into C-
shaped chips, an improvement that becomes particularly evident
when the amplitude to feed ratio (A/fz) exceeds 1/2. This observa
tion suggests a transition from a continuous cutting phase to an al
ternating cutting mode. In a study conducted by Li et al. 84 chip
morphology was compared between CMM and UVAMM by experi
mental methods. Their investigation focused on the form of chip
breakage and its effect on the bottom of the groove. The findings in
dicated that vibration had an important effect on the chip's morphol
ogy, resulting in variations in wrinkle height across several regions,
as shown in Fig. 9(a). This phenomenon is caused by the constant
variation of the undeformed cutting thickness during the cutting
process, leading to periodic variations in the shape of the chip.
Chen et al. 85 studied the effect of various vibration frequencies on
the chip breaking mechanism of UVAMM. According to their re
search findings, continuous chips were created without any obvious
cracks when there was no vibration present. However, raising the
frequency of elliptical vibration from 6 kHz to 30 kHz results in a
change in the location where cracks start, moving from the vicinity
of the cutting edge to the area of shear and ultimately upwards. Fur
thermore, cracks become more prominent causing the chips more
susceptible to cracking and ultimately resulting in the formation of
irregular chips, as shown in Fig. 9(b).
Kiswanto et al. 47 specifically studied the modeling of chip shape
in the context of 2D UVAMM. They constructed a theoretical mod
el of the chip's shape using MATLAB, considering the position of
the cutting tool's edge both before and after the application of ultra
sonic vibration in the X-Y dimension. In addition, the model has a
variable known as the bottom cutting edge angle that accurately
represents the features of the cutting edge. Kim and Loh83 investi
gated the microscopic features of chip generation in V-shaped
groove with the use of elliptical vibration. The researchers conduct
ed a comparison between the findings obtained via CMM and UE
VAMM. They observed that CMM yielded chips with greater thick
ness and a wider radius of curvature compared to those made by
UEVAMM. UEVAMM is anticipated to generate continuous chips
since the depth of cut exceeds the magnitude of the elliptical tool
path. However, the expansion of chip curvature is restricted. This
phenomenon is caused by the counter-directional secondary friction
in the shear deformation zone and the rise in shear angle, which
functions as a chip breaker and results in the creation of discontinu
ous chips. Studies suggest that as the friction between the cutting
tool and the chip reduces, the shear angle increases and the chip
thickness reduces.
The investigations on UVAMM chip formation provide useful in
sights into the complex relationship between cutting parameters, vi
bration characteristics, and material properties. Through compre
hension of these relationships, we may enhance the UVAMM pro
cess to optimize chip control, surface finish, and overall machining
performance.
2.3. Burr formation
Burr formation is like chip formation and is a common phenome
non in the machining process. Fig. 10 shows that it is a significant
factor when evaluating machined surfaces. Burrs are formed
through the plastic deformation of the material towards the comple
tion of the cutting process. Various factors influence the production
of burrs, such as cutting parameters, tool geometry, workpiece ge
ometry, manufacturing process, and material properties 41,7 8 as illus
trated in Fig. 11. Burrs have a negative effect on the life of the prod
uct and the precision of the processing. Therefore, further deburr
ing or edge finishing techniques are frequently necessary, however
these methods can be expensive and ineffective. Furthermore, the
deburring procedure has the potential to produce unnecessary resid
ual tension and potentially cause damage on the component. More
over, the deburring procedure becomes more complex for micro
components due to their smaller size, and these parts are very prone
to damage during machining, resulting in their removal as waste.
The first investigations on the phenomenon of burr development
during machining processes can be tracked back to the 1970s 86.
These experiments demonstrate that the metal cutting area experi
Fig. 9 Chip breaking in UVAMM (a) Li et al. 84 (b) Chen et al. 85
Fig. 10 Top burr on the micro milled surface in brass (CuZn39Pb2) with and without vibration from 0-15kHz frequency.52
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-7
ences substantial shear deformation when subjected to the tool's ac
tion, leading to notable shear forces and plastic deformation during
the cutting process. Burrs are formed because of residual material
remaining on the workpiece during the cutting process. Regarding
burr production, the processing of burrs can be categorized into
four types: rollover burr, tear burr, cut-off burr and Poisson burr, as
illustrated in Fig. 12. Rollover burr: These burrs referred to as exit
burrs, are conical shape that typically develop at the last stage of
the machining procedure. Tear burr: These burrs result from the ma
terial tearing from the workpiece, rather than being removed by
shearing. They are comparable to the burrs that form during the
stamping process. Cut-off burr: These burrs formed from the early
separation of the workpiece from the raw material before the com
pletion of the cutting process. Poisson burr: These burrs develop
due to the material's tendency to expand horizontally when subject
ed to compression, leading to irreversible plastic deformation.
In another approach burrs can be categorized according to their
shape, position, and formation method. These categories include en
try burrs, exit burrs, side burrs, and top burrs 89 as illustrated in Fig.
13. The four types of burrs show differences in both size and the
mechanisms by which they are formed. The top burrs, which are
generated by Poisson burrs and tear burrs, can be found on the up
per surface of the workpiece. After the milling operation is complet
ed, exit burrs adhere to the machined edge, whereas side burrs ad
here to the newly formed surface 90.
The edge radius or edge radius ratio of the cutting tool plays an
important role in micromachining. In contrast to conventional ma
chining, where the edge radius may be ignored but the edge radius
plays a key role in micromachining and has a notable impact on the
cutting process 92. As illustrated in Fig. 14, at high cutting speed
(vw), the cutting layer approaching the cutting-edge results in the
generation of chips along the shear sliding surface OD by compres
sion and shear deformation. However, the impact of the effective
rake angle (- γn) on chip formation and burr formation is more sig
nificant than that of the nominal rake angle (γ0), due to the exis
tence of the cutting-edge radius (re). The material is unable to travel
along the OD plane within the cutting-edge radius. Instead, it is
pushed out by the AB area, resulting in the formation of the ma
chined surface. The Δhlayer indicates the height at which elastic re
covery occurs. As the cutting tool approaches the edge of the work
piece, plastic deformation occurs, resulting in a negative shear
zone. This causes part of the workpiece to shift because it lacks sup
port from the surrounding material. The negative shear zone is sub
sequently connected to the positive shear zone. Burrs in plastic met
als primarily develop due to the plowing force exerted following
the removal of chips 93,94.
One interesting finding from this analysis is that burrs mainly
form close to the outer edges or surfaces of the workpiece material
because of the negative shear zone. To avoid the creation of burrs,
it is crucial to minimize negative shear zones, particularly near the
edges of the workpiece. An innovative strategy to address the diffi
culty of reducing the cutting-edge radius is to utilize support materi
als to strengthen the boundaries of the workpiece. Fig. 15 demon
strates that the process of placing support material onto the work
piece and enveloping it in a thin layer is an excellent method for
transferring burrs from the workpiece to the support material. By
eliminating the support material, it is possible to achieve a surface
that is free of burrs, while still preserving the original geometry of
the workpiece, such as maintaining perfect angles at the edges 93.
Fang et al. 82 proposed a formula to calculate the burr height in
micro milling.
Bw=1
n
i= 1
n
Δwi(5)
where nrepresent the number of positions, Bwis the average value
of burr width and wiis burr width of the ith point.
The researchers investigated the reduction in burr formation in
Fig. 11 Factors Influencing on burr formation.78
Fig. 12 Illustration of Poisson burr, tear burr and rollover burr.87,88
Fig. 13 Types of burrs in micro end milling.86,87,91
Fig. 14 Burrs formation mechanism in mic ro milling. 9 3 (a) The effect of
ratio of edge radius to depth-of-cut on burr formation. (b) Initiation of
burr formation. (c) Development of burr formation. (d) Final formation
of burr.
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-8
UVAMM in comparison to CMM. Kim and Loh83 conducted a
study on the micro-V-shaped groove processing of copper. They
used a cutting depth of 20μm and a cutting speed of 5 mm/s. The re
searchers also investigated the formation mechanism of exit burrs.
They noted that UEVC did not cause exit burrs, whereas CMM mi
cro-V-grooving resulted in exit burrs due to the cutting tool moving
away from the workpiece. Chen et al. 35 investigated the method by
which UVAMM reduces errors. The researchers conducted kinemat
ic analysis and finite element modeling of microgroove milling. It
was discovered that the tool consistently moved up and down the
side of the groove because of the vibrations that helped it move in
the feeding direction. This minimizes the burr formation. Both sim
ulation and experimental data validate that the presence of vibra
tions during the micro milling process leads to a significant reduc
tion in top burrs on the down-milled side of the slot, in comparison
to the CMM. Li et al. 95 investigated the impact of vibration parame
ters on the formation of exit burrs. It was observed that the size of
the exit burr increased as the diameter expanded from 18 mm to
25 mm, and as the vibration frequency increased from 2 kHz to
4 kHz. This occurs due to an enhancement of vibration frequency
within the 2-4 kHz range, resulting in a more prominent plowing
impact on the surface of the workpiece. This effect is accompanied
by the creation of secondary cutting edges. Additionally, this alters
the form of the chips generated during the process of machining. At
a vibration frequency of 10 kHz, the size of the exit burr reduces to
3mm. Increased vibration frequency leads to a higher cutting speed,
exceeding the rate at which the workpiece deforms. This results in
improved chip breaking and a decrease in the production of burrs.
As the vibration amplitude increases from 1 mm to 4 mm, the size
of the exit burr reduces from 22 mm to 2 mm. Li and Wang 36 per
formed slot micro-milling experiments using up-milling technique
with complete immersion and vibration. It was discovered that
burrs developed on one side of the machined surface, whereas
down-milling burrs formed on the opposite side. The production of
burrs is not considerably influenced by the rate at which the materi
al is fed. The burrs produced during up milling are extremely small,
similar in size to UVAMM and CMM. The presence of mounting
burrs was slightly reduced across all feed rates in the UVAMM sys
tem. After completing the cutting experiments with a cutting length
of 168 mm, the up-milling burrs in UVAMM were found to be re
duced by 16.0%, 17.5%, and 18.6% compared to CMM. Ding et
al. 49 investigated the impact of size on the formation of top burr in
2D UVAMM. It was discovered that the amount of feed per tooth
greatly impacts the height of the top burr. Additionally, employing
vibration-assisted cutting in micro-end milling can reduce the size
effect and enhance cutting efficiency, resulting in a reduction in the
height of the top burr. Furthermore, the careful selection of suitable
vibration parameters can significantly reduce the height of the up
per burrs. Fang and Zhang 48,78 conducted a study on the mechanism
of burr formation in CMM and UVAMM. They used simulation
techniques to investigate this process and then validated their find
ings through comparable experiments. It was discovered that em
ploying high-frequency ultrasonic vibration in the direction of mill
ing feed can decrease cutting temperature and cutting force, en
hance chip breaking capability, and reduce burr formation. Han et
al. 96 evaluated the impact of horizontal ultrasonic vibration on the
formation of burrs in UVAMM. Their investigations shown that
horizontal vibrations can change the burr shape from a larger clus
ter to a unified sheet-like structure that rests on micro-grooves. En
hancing the magnitude of vibration reduces the rise of the side
burrs and breaks them into small pieces. Furthermore, the imple
mentation of horizontal vibration has the advantageous effect of re
ducing the length of burrs in micro-milling grooves, particularly
when the feed rate exceeds the minimum cutting thickness by a lit
tle range. He et al. 74 conducted a comparison between UVAMM
and EUMM, which involves the use of electric fields to induce ul
trasonic vibrations during micro milling. Both procedures assist in
the removal of burrs during the process of machining. It is impor
tant to mention that EUMM does not exhibit significant burr forma
tion on both sides of the microchannel, resulting in a significant en
hancement in processing quality. The average burr length at a rota
tional speed of 60,000 rpm for EUMM is just 15 µm, in compari
son with 58 µm for UVAMM and 361 µm for CMM.
2.4. Tool wear
During machining, the cutting tool and the workpiece experience
significant friction because of direct metal-to-metal contact. The
friction generated at tool contact surfaces results in significant
stress and heat, ultimately causing inevitable tool wear. Damaged
tools will have a negative impact on the precision of machining and
the quality of the surface, leading to a decrease in cutting effective
ness and an increase in machining costs 97,98. Optimizing the service
life of tools and maintaining the quality of products are important
for establishing efficient and effective machining operations. Opti
mizing cutting parameters is a widely used technique to reduce tool
wear and improve the tool life 99 -101. However, the efficiency of this
method has limitations by conventional machining. Vibration-assist
ed machining provides an achievable solution for minimizing tool
wear. By adding vibration into the machining process, both the tool
and workpiece undergo regular cycles of separation and contact, re
sulting in a decrease in total friction and wear 102,10 3. Fig. 16 shows
the application of vibration can reduce tool wear in micro milling.
Tool wear can be classified into two different types: abnormal
wear and normal wear, as graphically illustrated in Fig. 17. Abnor
mal wear typically occurs due to impact or uneven heating during
processing, leading to brittle damage such as chipping, cracking,
spalling, or deformation. Normal wear is a steady phenomenon
Fig. 16 Tool wear 104 (a) CMM (b) UVAMM.
Fig. 15 Burrs prevention mechanism in micro milling. (a) Pretreatment
with support material. (b) Burr existence in support material. (c) Re
moval of support material. 93
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-9
characterized by the gradual degradation of tools as time passes.
The phenomenon of rake tool wear, flank wear, tool tip wear, and
boundary wear during machining can be due to friction and temper
atures. 105.
UVAMM has significant advantages in improving tool life. The
efficiency of reducing tool wear is dependent upon the precise cut
ting process, which is influenced by varying tool-workpiece separa
tion conditions. Zheng et al. 50 proposed that UVAMM has the capa
bility to establish three distinct and continuous states of separation
between the tool and the workpiece. These conditions are illustrat
ed in Fig. 18. To establish the initial separation between the tool
and workpiece, the vibration velocity of either the tool or work
piece (Vv) must exceed the nominal cutting speed (Vn). The term
"nominal cutting speed" refers to the pace at which the tool tip
moves without any assistance from vibrations. The standard can be
expressed in this way:
[ ]
Vv= 2πfxAxcos
( )
2πfxt+φxcosαé
ë
ê
ù
û
ú
Vn=πrn
30 (6)
cos
( )
2πfxt+φxcosαrn
60fxAx
(7)
Eq. (7) is only valid when
rn
60fxAx
1(8)
In the above equations, fxand Axrepresent the vibration frequen
cy and amplitude, respectively, whereas φxis the initial vibration
phase angle.
A comprehensive investigation has been conducted on the phe
nomenon of tool wear in CMM. Wang et al. 106 and Dawodinejad et
al. 107 conducted thorough research on tool wear in micro-milling,
specifically investigating its impact on surface roughness and chip
formation. However, only a limited number of research have inves
tigated its behavior with the assistance of ultrasonic vibrations.
Greco et al. 51 conducted a comparison between UVAMM and
CMM and observed that whereas CMM tools exhibited noticeable
wear on the main cutting edges and corners, vibration reduced this
wear, as shown in Fig. 19(a). The absence of built-up edge forma
tion and tearing during UVAMM is the cause of this decrease in
wear. Fang and Yuan 82,108 conducted an analysis of tool wear in
UVAMM and discovered that vibration decreased the occurrence of
built-up edge development on the rake face of the cutting tool, as
shown in Fig. 19(b).
Chern et al. 34 observed that employing vibration assistance in
micro milling can enhance the production of grooves within the ac
ceptable tolerance range. Without any vibration, the tool's life is
limited to just 80 grooves. However, when subjected to an ultrason
ic frequency of 500 Hz and an amplitude of 10μm, the tools life
improves to 98 grooves, indicating an approximate increase of
22%. Ibrahim et al. 109 conducted a comparison of tool wear be
tween UVAMM and CMM. According to their study, applying a
piezoelectric actuator to transmit small-scale vibrations and oscillat
ing frequencies to the workpiece generates a tiny space that effi
ciently breaks down heat through the chip. Additionally, they dis
covered the complex tool path mechanism of 2D UVAMM, in
which the proximity of the tool tip to the workpiece surface is influ
enced by the amplitude displacement along the applied frequency.
By selecting the suitable amplitude and frequency, 2D UVAMM ef
fectively minimizes tool wear and enhances surface roughness in
comparison to CMM. Zheng et al. 50 investigated the process by
Fig. 20 Comparison of tool flank wear in CM M and UVAMM for different cutting length.
Fig. 19 Comparison of tool wear in CMM and UVMM (a) Greco et al. 51 (b) Fang et al. 82
Fig. 17 Classification of tool wear.
Fig. 18 Three types of tool workpiece separation conditions.50
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-10
which tool wear is reduced in non-resonance-assisted micro-mill
ing. They employed a coated micro-milling cutter to manufacture
Ti6AL4V at three distinct vibration frequencies (high, medium, and
low) after analyzing the tool's separation from the workpiece. The
experiments focused on the cutting conditions, specifically if the
tool was removed from the workpiece. Their findings showed that
UVAMM efficiently reduces tool wear by employing various mech
anisms which restrict wear. Li et al. 84 conducted a comparison of
the tool wear in CMM and 2D UVAMM. The researchers discov
ered that the main characteristic of CMM tool wear is adhesive
wear specifically occurring at the tip of the tool. Extended cutting
operations, coupled with elevated temperatures and forces, may
damage the cutting edge, resulting in a loss of its material-cutting
capabilities. Conversely, the wear pattern of UVAMM shows nota
ble differences. The material sticks to the edge of the cutting tool,
resulting in adhesive wear. The phenomenon of micro-grinding oc
curs because of the cutting process, leading to a significant buildup
of material on the side surface of the cutting edge. Subsequently,
the material actively engages in the cutting procedure, so enhanc
ing the quality of the surface. Li et al. 36 investigated the impact of
tool wear on the tool life in UVAMM. It was discovered that in
creasing the cutting length had an impact on cutting performance
when small amplitudes (2μm) were applied to microtools, namely
due to tool flank wear. However, when the cutting speed is signifi
cantly lower than the maximum vibration speed, tool wear shows
enhancement in comparison to CMM, but when the cutting speed
and cutting length further increase, the ultrasonic vibration intro
duces additional vibrations and oscillations to the cutting process,
causing the tool to experience greater forces and heat. These in
creased forces and heat can accelerate tool wear and result in short
er tool life, as shown in Fig. 20.
2.5. Cutting forces
During conventional cutting, the cutting forces are mainly affect
ed by the machining dynamics, without the addition of any addi
tional vibration assistance. The forces in discussion are frequently
defined by the one-way movement of the cutting tool, leading to
different force patterns 110. Conversely, ultrasonic vibration cutting
involves the introduction of dynamic oscillations during cutting.
The periodic tool motions generated by ultrasonic vibrations impact
the interaction between the tool and the workpiece. This results in a
more complex distribution of force in comparison to conventional
cutting processes. The combination of ultrasonic vibrations and con
ventional cutting forces alters the process of chip creation and im
pacts the mechanism of material removal. Hence, the addition of vi
bration can result in variations in cutting forces and, in certain in
stances, a decrease in the overall force generated on the tool, hence
influencing tool wear and surface finish 111,112. Shen et al. 113 found
that while the maximum cutting force produced by UVAMM can
sometimes be higher than that of CMM, the average cutting force of
UVAMM is significantly lower. This observation remains valid for
both experiments and finite element simulations. Interestingly, the
variations in frequency and amplitude during UVAMM have signifi
cant effects on cutting forces. When the frequency increases from 0
Hz, it has a significant impact on reducing cutting forces. The re
duction in forces caused by the resonance of the workpiece holder
within this frequency range leads to a significant increase in vibra
tional amplitude and, consequently, a higher velocity of the work
piece under vibration. When frequency further increases from a
range, the system is no longer excited by vibration, and the vibra
tion amplitude decreases again, which results in an increase in the
cutting force 5 2,85. Similarly, when the amplitude increases from
0µm, the trajectory of tool tip 2 starts to be tangent to the trajectory
of tool tip 1. This indicates that a cutting edge begins to intermit
tently cut during a cutting cycle, and chips break more effectively,
ultimately reducing the cutting forces 76,108. In addition, the further
increase in amplitude can cause an increase in the cutting forces,
which indicates that it is important to consider intermittent cutting
conditions and impact force while choosing the amplitude. Fig. 21
illustrates the impact of tool vibration on cutting forces in UVAMM.
A comprehensive investigation has been carried out on the mech
anisms and models of UVAMM cutting force generation and reduc
tion. KIM et al. 12,114 investigated the V-groove's geometry and its
impact on cutting forces in the UVAMM process. It was noted that
the cutting force of UEVAMM were significantly reduced in com
parison to conventional V-groove cutting, particularly when milling
depths were smaller. It is important to mention that at a depth of
5μm, the cutting force of UEVAMM is reduced by a factor of four
compared to the conventional approach. While the decrease in
force is not as pronounced when milling at greater depths, such as
25 μm, UEVAMM still manages to achieve a 50% reduction in cut
ting force. This demonstrates that the decrease in force is more pro
nounced with the use of UEVAMM at lower milling depths. Re
searchers explain this phenomenon to the specific energy transfer
mechanism of UEVAMM, which reduces the friction among the
tool, chip, and workpiece. Fang and Yuan 76,82,1 08 conducted a com
parison between simulated and experimental cutting forces in
UVAMM and CMM. While the simulated values may somewhat ex
ceed the actual forces, the general pattern of reduction in UVAMM
cutting force remains constant. UVAMM effectively decreased all
three force components (Fx,Fy, and Fz) in comparison to CMM, re
sulting in reductions ranging from 7.6% to 11.5%. In addition, they
noted that a smaller vibration amplitude also had a significant im
pact on reducing cutting forces, and an increase in amplitude was
more effective in reducing cutting forces due to the intermittent cut
ting effect. Xu et al. 43,115,116 conducted studies with and without vi
bration to directly compare the cutting forces in UVAMM and
CMM. Their findings validated the effectiveness of UVAMM in re
ducing cutting forces on various workpiece materials, therefore en
hancing machining precision and extending tool life. It is most im
portant to note that the increase in amplitude from 0 μm to 4μm has
a significant impact on reducing cutting forces, as shown in Fig. 22.
Hu et al. 117 investigated the unique function of ultrasonic torsion
al vibration (UTV) in decreasing cutting forces during ultrasonic
torsional vibration-assisted micro milling (UTVAMM). Their inves
tigations demonstrated that the primary cause for the observed de
crease in force was the dynamic impact of torsional vibrations. Fur
thermore, they hold the belief that the feed per tooth is an important
Fig. 21 Effects of the tool vibration on cutting forces.73
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-11
variable that influences the reduction of cutting force. They claim a
smaller value of feed per tooth offers a better advantage in terms of
cutting force reduction. Ding et al. 59, 60 developed complex 3D cut
ting force models specifically for 2D UVAMM. Their model effec
tively predicted cutting forces across different situations by includ
ing the dynamic elements of the cutting process. The predicted forc
es exhibit a high level of agreement with the actual results, so con
firming the precision of the model. Parenti et al. 118 also conducted
a study on the decrease of cutting force in UVAMM. Huan et al. 53
conducted a comparison of the cutting forces between UEVAMM
and CMM. The cutting speed was set at 30 m/min, and the vibra
tion frequency was set at 20 kHz. It was noted that UEVAMM
shows significant consistency because of its characteristics of vibra
tion. During the milling process, the tool experiences stress concen
tration and extrusion, resulting in a substantial rise in cutting force.
However, the UEVAMM exhibited a cutting force that was 60%
lower than that of the CMM, as shown in Fig. 23(a). Greco et al.
51,52 conducted two separate investigations that showed the particu
lar cutting force of UVAMM is much less than that of CMM. More
precisely, the UVAMM force varies between 0.0016 and 0.0056 N/
μm, whereas the CMM force varies between 0.011 and 0.082 N/
μm, as shown in Fig. 23(b). In addition, when the frequency in
creases from 0 to 3.9 kHz, it helps reduce the cutting forces, but fur
ther increases in frequency again increase the cutting forces.
Zhang et al. 4 8 investigated the impact of vibration on cutting
forces during the initial contact between the tool and the work
piece. They noticed that the application of vibration led to a rapid
increase in cutting forces because of the initial impact upon con
tact. Subsequently, there is a significant decrease, demonstrating
the discontinuous characteristic of the milling procedure in
UVAMM. The discontinuous pattern of this behavior reduces the ef
fectiveness of the side plow effect during up milling and causes the
chips to break in advance, ultimately leading to lower average cut
ting forces compared to the CMM. Shang et al. 61,119 focused on de
veloping 2D UVAMM cutting force models. The researchers stud
ied multiple parameters that influence the instantaneous depth of
cut, such as tool runout, size impacts, and cumulative effects. Sub
sequently, the model is employed to examine the impact of ampli
tude and frequency on cutting forces. Furthermore, they investigat
ed the application of UVAMM for the objective of removing bone
material throughout surgical processes, demonstrating the capabili
ty of this technology to reduce cutting forces and enhance the
smoothness of bone surfaces during the milling process. Chen et
al. 85 studied the overall cutting force characteristics in UVAMM.
Frequent changes in the cutting force were noticed, and it was dis
covered that adding vibration at a frequency of 6 kHz resulted in a
significant decrease in the average cutting force compared to the
CMM. Their findings demonstrated that vibration can efficiently
breakdown chips, thereby reducing total milling forces. Additional
ly, it was noted that as the vibration frequency increased, the aver
age cutting force decreased even more. The most notable decrease
was noticed at 60 kHz, which can be due to the obvious formation
of material cracks, as shown in Fig. 24. Prabhu et al. 120 analyzed
the distribution of cutting forces (Fxand Fy) during 2D UVAMM at
varying increase frequencies (300 Hz and 600 Hz). Their findings
demonstrated an inverse relationship between the generating fre
quency and the cutting force, whereby an increase in the earlier re
sulted in a decrease in the latter. Consequently, increasing the fre
quency at which the drive operates has the potential to enhance the
performance of the machining process by reducing the forces exert
ed during cutting and improving the overall stability of the process.
3.6. Cutting temperature
The temperatures produced during metalworking play an impor
tant role in determining the outcome of the cutting process in all its
aspects. It significantly affects the wear and tear of tools, the forma
tion of burrs, the mechanisms of chip removal, the quality of surfac
es, the stress that remains, the deformation in three dimensions, and
the accuracy of dimensions in microfeatures that have been ma
chined 121-123. The cutting temperature in conventional cutting tech
niques is mostly determined by the interaction between the tool and
the workpiece during material removal. In conventional cutting, the
cutting temperature typically rises because of the continuous and
one-way cutting motion. This leads to the production of concentrat
ed heat at the interface between the tool and the workpiece 124.
Meanwhile, UVAC generates dynamic oscillations when cutting.
The tool experiences periodic engagement and disengagement with
the workpiece due to ultrasonic vibrations, leading to discontinuous
cutting action. The periodic process of tool engagement and disen
gagement leads to a distinct heat distribution in contrast to conven
tional cutting. By incorporating ultrasonic vibration, the dissipation
of heat is enhanced, leading to a potential decrease in the overall
cutting temperature 125,126. Chen et al. 127 found that the introduction
of ultrasonic vibration effectively enhances the diffusion time and
space of cutting temperature. In addition, it is also evident from pre
vious studies that the increase in amplitude and frequency has a sig
nificant impact on reducing cutting temperature 77. Fig. 25 illus
Fig. 22 Comparison of cutting forces in CMM and UVAMM (a) 6061T6
(b) TC4.
Fig. 23 Comparison of cutting forces in CMM and UVAMM (a) Huan
et al. 53 (b) Greco et al. 52 Fig. 24 Impact of frequency variations on cutting forces in UVAMM.85
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-12
trates the temperature modeling in UVAM.
While considerable attention has been devoted to the investiga
tion of cutting temperature in CMM 128,129, the mechanisms deter
mining the generation of cutting temperature in UVAMM remain
unclear. Numerous scholars have initiated an investigation into this
crucial element, offering significant perspectives into its behavior.
Huan et al. 53 conducted a comparison of the cutting temperatures
between CMM and UEVAMM and observed a significant decrease
of 17.6% in the context of UEVAMM, as shown in Fig. 28. This re
duction was attributed to the gap between the rake face and the
workpiece during the vibration process, enabling the dissipation of
heat. Conversely, the continuous interaction between the tool and
workpiece in a CMM can result in the accumulation of heat and
high temperatures.
Zhang et al. 4 8 investigated the distribution of the cutting temper
ature field in CMM and UVAMM. It was noted that the highest
temperatures were found in the shear deformation zone and then
gradually extended to other areas. UVAMM has a higher immediate
cutting thickness compared to CMM, yet its intermittent nature
minimizes the accumulation of heat. This minimizes the thermal en
ergy produced due to friction between the tool and workpiece, al
lowing for enhanced cooling efficiency. Ibrahim et al. 109 conducted
a comparison of cutting temperatures between UVAMM and
CMM. The researchers observed the creation of small gaps because
of applying low-amplitude and frequencies to the workpiece using
a piezoelectric actuator. This space facilitates efficient heat dissipa
tion of the chip. In addition, their research uncovered the complex
mechanics of the tool path in 2D UVAMM. This involves how the
proximity of the tool tip to the surface of the workpiece is influ
enced by the displacement amplitude at the given frequency. Shang
et al. 77 investigated the use of UVAMM in orthopedic surgery, with
a particular focus on bone milling. A temperature model was devel
oped for vibration milling of bone materials and its accuracy has
been verified by simulations. According to their research findings,
UVAMM is more effective than CMM in reducing heat generation
and minimizing thermal damage. In addition, the increase in ampli
tude from 0 to 4μm and frequency from 0 to 1000 Hz significantly
reduced the temperature at the cutting zone, as shown in Fig. 27.
2.7. Surface morphology and roughness
The surface roughness of the machined surface is closely related
to factors such as the structure of the micro milling tool, the accura
cy of the machine tool, the amount of material being cut, the cool
ing conditions, and the wear of the tool. Choosing a lower feed rate
may result in a reduction of the residual height of the machined sur
face if a smaller cutting edge radius is used 130. Li and Chou 131 em
phasized the significant impact of tool wear on surface roughness
in micro milling, irrespective of the cutting conditions. The re
searchers discovered that by minimizing tool wear, it is possible to
attain excellent surface quality in micro milling. According to
Shaw 132, state that the surface generated by CMM is influenced by
the accurate replication of the geometric and kinematic characteris
tics of the tool tip form factor. In addition, according to Ding et al.
60 state that in a CMM, the cutting tool would accurately replicate
the tool profile on the machined surface as it moves along the actu
al tool path, thereby revealing the surface topography of the ma
chined object. However, the 2D UVAMM exhibits circular motion
properties that enable the cutting point of the tool to traverse the
Fig. 25 Illustration of temperature generation in UVAM (a) Workpiece side heat source (b) Chip side heat source.126
Fig. 26 Comparison of cutting temperature in CM M and UVAMM.
Fig. 27 Impact of amplitude and frequency variation on cutting temperature in UVAMM.77
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-13
cutting region of the preceding cycle, thereby eliminating the raised
and lowered portions of material remaining from the previous cy
cle. The circular motion of the 2D UVAMM during the cutting pro
cess will minimize the impact of average force and enhance surface
accuracy by reducing any vibrations between the tool and work
piece. In addition, when considering this viewpoint, decreasing the
cutting forces of the tool also leads to a decrease in vibrations on
the tool, so improving the quality of the surface produced 60,1 09. Ra
sidi and Ding discovered that the utilization of 2D UVAMM facili
tated the splitting of the machined surface into smaller parts. Simul
taneously, these pieces are removed during alternating cycles by uti
lizing contrasting frequencies and amplitudes 133. In addition, it is
interesting to note from previous studies that the increase in ampli
tude40,108 and frequency104,116 decreases the surface roughness and im
proves the surface morphology of the cutting surface. Fig. 28 illus
trates the development of surface topography in UVAM and Fig. 29
shows the machined surface in CMM and UVAMM.
Researchers have thoroughly investigated the impact of milling
parameters on the surface integrity and quality of surfaces ma
chined using UVAMM. Fang et al. 82 investigated the surface mor
phology of grooves that were machined using CMM and UVAMM.
They noticed that surface defects gradually reduced when the feed
per tooth (fz) increased, particularly when the vibration amplitude
was 0 μm. Defects are nearly removed when the value of fzis 5 μm/
z. Low fzvalues result in excessive plastic deformation, causing the
buildup and adherence of material, leading to the formation of
burrs and defects in the surface. When ultrasonic vibration is ap
plied with an amplitude of 3 μm and a frequency of 32 kHz, and a
feed speed of 2 μm/z is maintained, the occurrence of pits, ridges,
and grooves is significantly reduced. As the value of fzincrease, the
surface roughness becomes more prominent. However, if the value
of fzreaches 5μm/z, the impact of ultrasonic vibration on surface
quality becomes less pronounced. The decrease in defects is mostly
related to the separation features of the vibration process, which im
pact the rate of change in the cutting process and the heating effect.
Lian et al. 37 performed studies using three different ultrasonic vi
bration amplitudes to compare the surface quality of machined
grooves with and without vibration. Their findings clearly demon
strate that surfaces subjected to UVAMM processing exhibit greater
uniformity and absence of any machining marks, in contrast to sur
faces treated with CMM causes micro defects. Chen et al. 71,72 inves
tigated the development of various surface textures on the end face
of the workpiece by using different combinations of machining and
vibration parameters. The researchers suggested a technique for
generating surface using a milling process that incorporates vibra
tions. They confirmed the efficiency of this method through experi
mental testing and showed that when the frequency increased from
0 to 3.4 kHz, the surface morphology improved. Guo Li et al. 84,95
conducted a study on the mechanism of surface development in 2D
UVAMM. They also investigated how this mechanism affects chip
removal efficiency, chip shape, and tool life. The researchers con
ducted experimental tests to confirm the accuracy of using vibra
tion assistance to enhance the surface integrity and quality of ma
chined surfaces. Their findings validated that the utilization of vi
bration assistance enhanced the micro step pattern on both surfaces
of the thin-walled micro structured surface and altered the form of
the groove's bottom because of tool eccentricity. Additionally, it
was discovered that the vibration-assisted machined surface exhibit
ed a shape deviation of less than 101 nm SPV and a surface rough
ness of less than 25 nm RMS. In addition, the increase in frequency
from 2 to 10 kHz and amplitude from 0 to 4μm significantly reduc
es the surface roughness, as shown in Fig. 30. Li and Wang36 inves
tigated the correlation between surface roughness and cutting
length in UVAMM and CMM. Upon reaching a milling length of
24 mm, the researchers saw that the rate of tool wear in both
UVAMM and CMM became similar. Additionally, at this point, the
surface roughness might be considered as an enhancement in the
obtained surface quality by UVAMM. Thus, the extraordinary effi
ciency of UVAMM in the low-speed milling procedure was validat
ed, resulting in a reduction in surface roughness by 56.4%, 4.4%,
and 8.6% respectively for a milling length of 24 mm, as shown in
Fig. 31.
Ibrahim et al. 38 discovered that at low frequencies, surface
roughness increases as the frequency increases because of greater
motion in the gap. However, within the ultrasonic frequency range,
the surface roughness reduces because of the reduction in milling
force and temperature. The increased frequency of vibration leads
Fig. 29 Machined surface 104 (a) CMM (b) UVAMM.
Fig. 28 Illustration of surface topography formation in UVAM134
(a) 0-T/2 (b) T/2-T.
Fig. 30 Impact of vibration frequency and amplitude on surface roughness in UVAMM.95
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-14
to a significant enhancement in surface roughness caused by the in
creased gap between the cutting tool and the workpiece. This mini
mizes stress during the cutting process, enhancing cutting precision
and lowering deformation, thereby decreasing the formation of
burrs on the surface of the tool. Kiswanto et al. 135 proposed a theo
retical model for surface roughness of UVAMM using the MAT
LAB software. This model accounts for the influence of the tool's
bottom tip angle on the surface of the workpiece and can be em
ployed to replicate the effects of UVAMM on the workpiece sur
face. Guo et al. 136 developed a machining system that utilizes vibra
tions to assist in the process. The system includes a worktable that
is not resonant, allowing for the adjustment of the vibration fre
quency. The researchers conducted orthogonal experiments to in
vestigate the impact of feed speed, vibration frequency, and ampli
tude on surface quality. Their findings shown that increasing the vi
bration frequency reduced the formation inaccuracy and roughness,
whereas the amplitude enhanced the surface quality only within a
particular range. The accuracy of a 3D surface shape simulation
model of UVAMM developed by Yan et al. 40 was verified by exper
iments. The model offers valuable insights into the process of sur
face development under UVAMM, and the surface morphology im
proved on the cutting surface when the amplitude increased from 0
to 3μm. Xu et al. 43,116 reported that ultrasonic vibration decreased
surface defects, leading to an enhancement in surface quality. In ad
dition, they found a vibration-induced delay in the micro milling
process and a reduction in surface roughness when the amplitude
increased from 0 to 4μm, as shown in Fig. 32.
Tan et al. 54 conducted a comparison of the surface characteristics
of microgrooves that were machined using CMM and UEVAMM.
It was discovered that the CMM machined surface had surface de
fects such as ridges, cavities, and rip lines, but the UEVAMM ma
chined surface had no such defects. Huan et al. 53 found that UE
VAMM offered improved surface quality in comparison to CMM.
The reduced surface roughness was due to the presence of move
ments nanoparticles in the matrix. Jin et al. 137 evaluated the im
pact of vibration direction, range, and frequency on surface rough
ness and profile in UVAMM. It was discovered that continuous vi
bration had the greatest effect in enhancing surface quality. Fur
thermore, the use of vibration assistance was discovered to im
prove the brittle transition of the glass film and reduce surface
damage, as shown in Fig. 33(a). Du et al. 138 developed a compre
hensive approach for predicting the vibration and surface rough
ness of micro-end mills. Their model addresses the accurate mo
tions followed by the cutting edge, the vibrations of micro-end
mills that depend on their size, and the elastic recovery of the ma
terial. The findings indicate that the vibration of micro-end mills
leads to an increase in both micro-milling forces and surface
roughness. This has been confirmed through experimental verifica
tion. Yuan et al. 76,108 studied the impact of UVAMM on surface
quality by employing workpiece vibration machining. Their find
ings demonstrated that reducing milling speeds, feed rates, and
employing moderate vibration amplitudes resulted in the most fa
vorable surface morphology, as shown in Fig. 33(b). The mor
phology of this structure exhibits a consistent and symmetrical
fish scale pattern, characterized by a smooth surface with mini
mum roughness and an absence of defects. Enhancing the surface
quality was achieved by optimizing the cutting settings, namely by
increasing the cutting speed to 37.68 m/min and adjusting the feed
per tooth to 6 μm. He et al. 74 introduced electrically assisted ultra
sonic micromachining (EUMM) as a remedy for the issue of ele
vated surface roughness in workpieces. Their findings demonstrat
ed that the implementation of EUMM led to a significant decrease
in surface roughness. The EUMM method yielded a reduced bot
tom surface roughness (0.33 µm) compared to both the UVAMM
and CMM methods. EUMM enhances the smoothness of the side
walls by utilizing particles throughout the manufacturing process,
resulting in a minimal surface roughness of 0.34 µm on the vertical
sidewalls.
Fig. 31 Comparison of surface roughness in CMM and UVAMM.
Fig. 33 Surface morphology comparison in CMM and UVMM (a) Jin et al. 137 (b) Yuan et al. 76
Fig. 32 Impact of amplitude on surface roughness in UVAMM.43
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-15
3. Finite element sim ulation of machining process
The finite element approach is an effective tool for simulating
the cutting process. When compared to physical testing, using this
approach can greatly reduce costs and save time. It also enables the
identification of an effective and practical production process at an
early stage. Moreover, it offers useful perspectives on enhancing
the characteristics of the cutting process. The progress in computer
software and hardware has greatly improved the capabilities of fi
nite element analysis (FEA) software, resulting in a major increase
in research efficiency.
To study UVAMM mechanism and compare the results with
CMM, many researchers have used ABAQUS 117 and Deform 48
software to develop detailed 2D and 3D finite element simulation
models, which can be seen in Fig. 34.
Hu et al. 117 developed a thermomechanical coupled model of
UVAMM using the ABAQUS software. This work offers signifi
cant insights into the role of feed per tooth in reducing cutting forc
es during the UTVAMM process. The research findings can be em
ployed to enhance the UTVAMM process by increasing machining
efficiency and minimizing tool wear. In another study, Hu et al. 139
developed a 2D finite element (FE) model of UVAMM using
ABAQUS software. This study offers significant insights into the
mechanism of UVAMM and the impact of process parameters on
the performance of the manufacturing process. The results can be
utilized to enhance the UVAMM process to optimize machining
precision, surface quality, and reliability of micro-components.
Chen et al. 85 developed a 2D FE model for the simulation of UE
VAMM. This model simplifies the milling process by assuming
that the workpiece keeps stationary while the micro milling cutter
rotates. The simulation findings indicate that the elliptical vibration
of the milling cutter leads to the formation of micro-texture on the
milling surface. This study offers significant insights into the mech
anism of UEVAMM and its prospective benefits for micro milling
applications. In a subsequent study, Chen et al. 140 performed a com
prehensive investigation of the fundamental milling process of
UVAMM by combining FE simulation and experimental tests. A
UVAMM FE model of magnesium alloy was created, employing
the Johnson-Cook material model. Through an investigation of the
size effect and material removal mechanism of UVAMM, it was de
termined that the vibration frequency has a substantial influence on
the machining process. They found that by increasing the vibration
frequency, they were able to successfully reduce burr formations,
cutting forces, and tool wear. The accuracy of these discoveries is
supported by the results of finite element simulation and experi
mental validation. Zheng et al. 50 utilized FE simulation and experi
mental techniques to investigate the mechanism of tool wear reduc
tion in non-resonance-assisted micro-milling. A UVAMM FE mod
el was developed using the ABAQUS software, which integrated a
Johnson-Cook material model and a damage model. The results
show that UVAMM is highly successful in minimizing tool wear by
employing numerous mechanisms that prevent wear. Zhang et al. 48
developed a 3D FE model using Deform software to investigated
the mechanism of burr formation in CMM and UVAMM. They sub
sequently carried out experiments to validate their findings. Accord
ing to their research, the application of high-frequency ultrasonic
vibration in the milling feed direction can successfully decrease cut
ting temperature and forces, enhance chip breaking capability, and
thus minimize the burr formation. The experimental results further
validated the precision of the simulation results and offered useful
parameter guidance. Huan et al. 53 investigated the cutting character
istics of ultrasonic vibration using a 2D thermodynamic coupled fi
nite element milling model. The researchers discovered that ultra
sonic elliptical vibration cutting outperformed conventional cutting
in terms of surface profile, average milling force, and milling tem
perature, as presented in Fig. 35. During the cutting process, the
stress is generally applied horizontally, and the removal of material
particles primarily occurs through cutting.
Fang et al. 82 highlighted the application of FE simulations for
the prediction of cutting forces. The milling forces derived from
simulations and experiments were effectively compared, thus con
firming the accuracy of the model. Lu et al. 141 developed a 2D FE
model of UVAMM using ABAQUS software. Their approach inte
grates the Johnson-Cook flow stress model and shear failure princi
ples of the workpiece material, along with the modified Coulomb
friction law that includes both sliding and bonded components. The
researchers conducted a study using FEA to investigate the impact
of cutting parameters, vibration parameters, and tool shape on the
process. Furthermore, they conducted an analysis of the residual
levels of stress in various tool flank wear conditions, offering use
ful insights for the enhancement of process parameters, the im
provement of product performance, and the optimization of tool
life and reliability. Shang et al. 77 developed a 3D FE temperature
model using ABAQUS software for bone material in UVAMM and
compared with CMM, as shown in Fig. 36. The validity of their
Fig. 35 Surface morphology by FEA (a) CMM (b) UVAMM.
Fig. 34 Finite element simulation models (a) Deform 3D model (b)
ABAQUS 2D model (c) ABAQUS 3D model.
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-16
model was confirmed using FEA simulations, emphasizing the po
tential of FEA in examining thermal behavior in UVAMM applica
tions.
4. Significance of MQL in UVAMM
The main goal of employing cooling lubricants in machining is
to enhance the quality and efficiency of the final products. Studies
have demonstrated that the use of significant coolants and lubri
cants can enhance surface quality, reduce tool deterioration, and
minimize cutting forces. In addition, they assist in minimizing ther
mal deformation, hence enhancing the precision of the design and
ability to remove chips 142,1 43. Although conventional cooling lubri
cants offer numerous advantages, they represent an important chal
lenge due to their negative impact on the environment and human
health. As a result, there has been a growing focus on the develop
ment of eco-friendly alternatives, such as minimum quantity lubrica
tion (MQL), and cryogenic cooling 144. In MQL, a small quantity of
lubricant is directed toward the cutting zone in the presence of air 145.
Only two studies were conducted in UVAMM by applying the
MQL, and they showed a significant impact of the MQL on machin
ability improvement. Hence, additional study is necessary to fully
understand and maximize its potential advantages in UVAMM. Li
and Wang36 investigated the impact of MQL on tool wear during
UVAMM and made a comparison with dry cutting. Their findings
show that the utilization of MQL significantly reduced tool wear,
thus improving cutting performance in relation to surface rough
ness and the formation of burrs, as shown in Fig. 37. Ibrahim et al.
38 conducted research to investigate the impact of MQL on the pro
cessing performance of UVAMM. It was noted that the use of
UVAMM alone enhanced the quality of machining, but the addition
of MQL resulted in further improvements in mechanical accuracy.
This implies that MQL can enhance the beneficial impact of
UVAMM on dimensional precision, leading to improved machining
results.
5. Advantages of UVAMM for difficult-to-cut
materials
UVAMM is an innovative machining technique that uses CMM
with high-frequency vibration. UVAMM offers outstanding versatil
ity beyond its ability to manage complex geometries. The versatili
ty of this method is seen in its extensive compatibility with diffi
cult-to-cut materials, such as titanium alloys 84, steel alloys 104, nick
el-based alloys 108, aluminum alloys 61, composites 116, brass 52, and
optical glass 137 . Fig. 38 summarizes the properties that make these
materials difficult to cut. In addition, these materials are widely
used in biomedicine, optics, aerospace, semiconductors, and other
fields because they have excellent physical, chemical, and mechani
cal properties 146-152. Based on research, it can be found that pub
lished reports mainly focus on cutting characteristics, cutting forc
es, surface quality, and subsurface damage. Compared with CMM,
UVAMM has shown good performance, as presented in Table 2.
This compatibility allows for the efficient manufacturing of high-
quality products.
6. Conclusion
This article presents a comprehensive review of the latest devel
opments in ultrasonic vibration-assisted micro-milling (UVAMM).
It specifically focuses on various aspects, such as UVAMM pro
cessing, which include mathematical modeling, chip formation,
burr formation, tool wear, cutting forces, cutting temperature, and
surface morphology; the finite element simulation of UVAMM; the
significance of MQL in UVAMM; and applications of UVAMM for
difficult-to-cut materials such as titanium alloys, steel alloys, nick
el-based alloys, aluminum alloys, composites, brass, and glass. The
following possible conclusions can be drawn from this review:
(1) Micro-milling demonstrates exceptional proficiency in creat
ing complex 3D shapes on various materials, although it encounters
Fig. 37 Significance of MQL in UVAM M.
Fig. 38 Properties of the materials that make them difficult to cut.146-152
Fig. 36 Temperature nephogram of bone material by FEA (a) CMM (b) UVAMM.
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-17
multiple challenges when it comes to difficult-to-machine materi
als. UVAMM is a promising technology that can effectively tackle
these challenges while achieving a wide range of applications for
difficult-to-machine materials.
(2) UVAMM improves chip breaking properties, reduces burr
formation by creating variations in chip thickness across different
regions, and promotes natural breakage.
(3) UVAMM effectively addresses the issues related to tool wear,
cutting forces, cutting temperature, and surface roughness encoun
tered while machining challenging materials. By conducting experi
ments and utilizing models, we may make precise predictions and
optimize these factors to attain exceptional outcomes. The periodic
cutting movement produced by UVAMM vibration enhances the
service life of the tool, reduces forces and temperatures, and en
hances the quality of the surface finish.
(4) Advancements in hardware and software have pushed finite
element analysis (FEA) to unprecedented levels, greatly enhancing
research productivity. The FEA model developed by UVAMM also
exhibited enhanced precision, offering important insights into the
improvement of the process.
(5) The UVAMM has great potential on its own, and the addition
of MQL further enhances its overall efficiency, establishing it as an
effective strategy for achieving precise micromachining.
(6) UVAMM demonstrated its versatility by smoothly working
with a diverse range of materials, such as titanium alloys, steel al
loys, nickel-based alloys, aluminum alloys, composite materials,
brass, and optical glass. This adaptability allows to produce better
products that enhances efficiency across numerous applications.
Table 2 Research summary of the difficult-to-cut materials in UVAMM.
1
2
3
4
5
6
7
8
9
10
Greco et al. 52
Fang et al. 82
Xu et al. 116
Li et al. 95
Greco et al. 51
Xu et al. 43
Han et al. 96
Yuan et al. 108
Yuan et al. 78
Zhang et al. 48
Brass (CuZn39Pb2)
Inconel718
Graphene-based alumi
num matrix composite
Al6061 aluminum alloy
AISI 316L
TC4 titanium alloy and
6061T6 aluminum alloy
304 austenitic stainless
steel
Inconel718
Inconel718
Inconel718
1D
1D
1D
1D
1D
1D
1D
1D
1D
1D
The comparison with CMM revealed a substantial 63% decrease in cutting forces,
reduced burr formation, and improved surface quality, indicating the potential of
UVAMM to enhance efficiency.
The UVAMM helps to reduce feeding force (
F
x
), radial force (
F
y
), and axial force
(
F
z
) up to 7.6%, 11.5%, and 1.3%, respectively, and optimize surface quality and
burr suppression.
These composites showed excellent processing characteristics when subjected to
precise feed rate and ultrasonic amplitude conditions (1μm/tooth and 3.05μm, re
spectively). This shows the capacity to optimize UVAMM parameters to attain
higher outcomes for composite materials.
Findings offered proof of the ability of UVAMM to enhance surface integrity and
quality. Their study also investigated the impact of vibration frequency and ampli
tude on surface roughness and burr size. They discovered a positive correlation be
tween surface roughness and frequency, as well as a negative correlation between
surface roughness and amplitude.
Investigated the effects of vibration assistance on tool wear, cutting forces, surface
roughness, and burr formation. The results show the reduction in tool wear, cutting
forces, surface roughness and burr formation demonstrating the efficiency of
UVAMM.
The findings demonstrated that employing ultrasonic vibration resulted in a signifi
cant 17% and 12% reduction in cutting forces for titanium alloy TC4 and alumi
num alloy 6061T6, respectively, when compared to the CMM.
The experimental results show that horizontal ultrasonic vibrations can change the
morphology of the burr, transforming it from an elongated form to a continuous
sheet-like structure that results in an improvement in surface finish in micro
grooves.
In this investigation, UVAMM and CMM were compared, with a particular focus
on cutting forces, tool wear, surface morphology, and corrosion resistance. The re
sults show that UVAMM reduces cutting forces, leading to exceptional surface
quality. Furthermore, the application of ultrasonic vibration greatly improves the
surface corrosion resistance of Inconel 718.
The results demonstrated that UVAMM enhances chip breakdown, promotes the
development of burr cracks, and efficiently reduces burr formation.
Simulation and experimental results proved that applying high-frequency ultrason
ic vibration in the milling feed direction reduces cutting temperature and cutting
force, improves chip breaking ability, and reduces burr formation.
No. Authors Materials Vibration type Improvements compared with CMM
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-18
11
12
13
14
15
16
17
18
19
Zhang et al. 73
Xu et al. 115
Jin and Xie 137
Li et al. 84
Ding et al. 104
Shang et al. 61
Huan et al. 53
Yan et al. 40
Su et al. 79
Al6061 aluminum alloy
45# steel
BK-7 optical glass
Ti-6Al-4V titanium alloy
Tool steels of HRC 55
and HRC 58
Al6061 aluminum alloy
TiC Particle-Reinforced
Titanium Matrix Com
posites
TC4 titanium alloy
TC4 titanium alloy
1D
1D
1D
2D
2D
2D
2D
2D
3D
Researchers experimentally verified a dynamic cutting force model for micro-end
milling of Al6061. This model considers tool vibration and runout. Their model
demonstrated greater precision compared to conventional models and effectively
predicted and comprehended cutting forces in UVAMM processes.
The researchers conducted orthogonal experiments to investigate the impact of
grain size and ultrasonic vibration on cutting forces, dimensional accuracy, and sur
face roughness. Their findings showed that materials with larger grain sizes tend to
exhibit reduced cutting forces and attain improved surface quality when subjected
to same process parameters.
The researchers conducted a series of tests to investigate the impact of vibration di
rection, amplitude, and frequency on surface roughness and profile. Their findings
indicated that frequently utilized vibrations play an important role in enhancing the
quality of the surface, offering helpful insight for optimizing parameters of
UVAMM in the processing of optical glass.
The researchers conducted a comparative analysis of the effects of UVAMM and
CMM on both the structural integrity and quality of the parts. Their research aimed
to develop an efficient UVAMM system for cutting the bottom surface of micro
grooves.
Experiments that explored how vibration parameters affected surface roughness
and tool wear showed that using UVAMM can improve surface finish and lower
tool wear compared to CMM.
Researcher developed and experimentally verified a 2D UVAMM to predict the
cutting forces of Al6061. Their model accurately replicated cutting force curves
and provided valuable insights into the impact of vibration amplitude and frequen
cy on cutting forces.
The ABAQUS simulation software was used to study the changes in cutting force,
temperature, and processing conditions in the context of the CMM and UEVAMM
processes. Their study evaluated the resultant surface morphologies and particle
dispersion providing useful insights on the efficiency of UEVAMM on composites.
Researchers develop reliable predictive models of 3D machined surface morpholo
gy for the TC4 titanium alloy. The 3D surface morphology of the machined surface
under LUVAM was simulated, and LUVAM experiments were conducted to ex
plore the influence of processing parameters on surface morphology through simu
lation and experimentation. The results show that the simulation results are consis
tent with the experimental results, verifying the accuracy and reliability of the theo
retical model.
When compared to CMM, longitudinal-torsional ultrasonic-assisted and tangential
torsion-assisted ultrasonic spiral-assisted processing had the fewest burrs, the
smoothest surfaces, the largest fractal dimensions, and the least micro-milling
force.
Continued table 2
No. Authors Materials Vibration type Improvements compared with CMM
7. Research trends
Ultrasonic vibration-assisted micro-milling (UVAMM) is a de
veloping field of research with a focus on reducing cutting force,
improving tool life, improving surface quality, optimizing machin
ing efficiency, and expanding its capabilities to the manufacturing
industry. The research trend in UVAMM is focused on several key
areas:
(1) A major focus is on finding the optimal combination of ultra
sonic vibration parameters (amplitude, frequency) and conventional
cutting parameters (cutting speed, feed rate) for different materials.
This research often involves using simulations and experimental
verification to identify settings that minimize cutting forces, im
prove surface quality, and extend tool life.
(2) The research focus is also increasing to explore the impact of
combined vibrations of the tool and workpiece on the machining
performance to improve efficiency as compared to applying vibra
tions only to the tool or workpiece.
(3) Researchers are exploring the combination of ultrasonic vi
bration with other micro-milling techniques like cryogenic cooling
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-19
or the use of specific cutting tool geometries to achieve even better
results. Cryogenic cooling, for instance, can further reduce heat
generation, potentially improving the machinability of heat-sensi
tive materials. It is exploring how ultrasonic vibration can be used
to reduce cutting forces and tool wear, ultimately leading to less en
ergy consumption and a lower overall environmental impact.
(4) A well-designed ultrasonic vibration-assisted device plays an
important role in improving efficiency. Therefore, the researchers
have focused on optimizing the design of the ultrasonic device to
achieve higher efficiency in UVAMM.
(5) The interest in using UVAMM for machining novel materials
that are difficult to process with conventional techniques is increas
ing. This includes research on the machining of composite materi
als, high-strength alloys, and even hard-to-cut biomaterials for med
ical applications.
(6) The research focuses on sustainable micro-milling due to
growing environmental concerns. It is exploring how ultrasonic vi
bration can be used to reduce cutting forces and tool wear, ultimate
ly leading to less energy consumption and a lower overall environ
mental impact.
Acknowledgment
This work was supported by the National Natural Science Foun
dation of China (Nos. 52375400 and 51975053), Independent Inno
vation and Special Funding Project (No. ZZCX-2023-029), Basic
Research Foundation of Beijing Institute of Technology (No.
2021CX01023).
References
1. Wu X, Li L, He N. Investigation on the burr formation mechanism in
micro cutting. Precis Eng. 2017;47:191-196.
2. Masato D, Sorgato M, Parenti P, et al. Impact of deep cores surface to
pography generated by micro milling on the demolding force in micro
injection molding. J Mater Process Tech. 2017;246:211-223.
3. Cheng X, Nakamoto K, Sugai M, et al. Manufacturing Technology De
velopment of ultra-precision machining system with unique wire EDM
tool fabrication system for micro / nano-machining. CIRP Ann. 2008;
57:415-420.
4. Cheng X, Wang ZG, Nakamoto K, et al. Design and development of a
micro polycrystalline diamond ball end mill for micro/nano freeform
machining of hard and brittle materials. J Micromechanics Microengi
neering. 2009;19(11).
5. Suzuki H, Moriwaki T, Yamamoto Y, et al. Precision cutting of aspher
ical ceramic molds with micro PCD milling tool. CIRP Ann - Manuf
Technol. 2007;56(1):131-134.
6. Zhang Z, Peng H, Yan J. Micro-cutting characteristics of EDM fabri
cated high-precision polycrystalline diamond tools. Int J Mach Tools
Manuf. 2013;65:99-106.
7. Heaney PJ, Sumant A V, Torres CD, et al. Diamond coatings for micro
end mills: Enabling the dry machining of aluminum at the micro-scale.
Diam Relat Mater. 2008;17:223-233.
8. Cai Y, Liu Z, Shi Z, et al. Optimum end milling tool path and machin
ing parameters for micro Laval nozzle manufacturing. J Eng Manuf.
2015;(1-10).
9. Liang Z, Gao P, Wang X, et al. Cutting performance of different coat
ed micro end mills in machining of Ti-6Al-4V. Micromachines. 2018;9
(11):568.
10. Alhadeff LL, Marshall MB, Curtis DT, et al. Protocol for tool wear
measurement in micro-milling. Wear. 2019; 420-421(November 2018):
54-67.
11. Vipindas K, Kuriachen B, Mathew J. Investigations into the effect of
process parameters on surface roughness and burr formation during mi
cro end milling of TI-6AL-4V. Int J Adv Manuf Technol. 2019;100(5-
8):1207-1222.
12. Kim GD, Loh BG. An ultrasonic elliptical vibration cutting device for
micro V-groove machining: Kinematical analysis and micro V-groove
machining characteristics. J Mater Process Technol. 2007; 190(1-3):
181-188.
13. Weng F, Liu Y, Chew Y, et al. IN100 Ni-based superalloy fabricated
by micro-laser aided additive manufacturing: Correlation of the micro
structure and fracture mechanism. Mater Sci Eng A. 2020;788:139467.
14. Allegre OJ, Li Z, Li L. Tailored laser vector fields for high-precision
micro-manufacturing. CIRP Ann. 2019;68(1):193-196.
15. Cadot GBJ, Axinte DA, Billingham J. Continuous trench, pulsed laser
ablation for micro-machining applications. Int J Mach Tools Manuf.
2016;107:8-20.
16. Derevyanko DI, Shelkovnikov VV, Orlova NA, et al. Fabrication of
High-aspect-ratio Microstructures for LIGA-technology by Sinchro
tron Radiation Polymerisation of Thetetraacrylate Monomer. Phys Pro
cedia. 2017;86(June 2015):122-126.
17. Ma Y, Liu W, Liu C. Research on the process of fabricating a multi-
layer metal micro-structure based on UV-LIGA overlay technology.
Nanotechnol Precis Eng. 2019;2(2):83-88.
18. Hamdana G, Puranto P, Langfahl-Klabes J, et al. Nanoindentation of
crystalline silicon pillars fabricated by soft UV nanoimprint lithogra
phy and cryogenic deep reactive ion etching. Sensors Actuators, A
Phys. 2018;283:65-78.
19. Bogaerts W, Dumon P, Taillaert D, et al. SOI nanophotonic waveguide
structures fabricated with deep UV lithography. Photonics Nanostruc
tures - Fundam Appl. 2004;2(2):81-86.
20. Wang K, Zhang Q, Zhang J. Evaluation of scale effect of micro electri
cal discharge machining system. J Manuf Process. 2019;38(November
2017):174-178.
21. Kim YS, Chu CN. The Effects of graphite powder on tool wear in mi
cro electrical discharge machining. Procedia CIRP. 2018; 68(April):
553-558.
22. Kuzin V V, Fedorov SY, Szalay T, et al. Micromachining of a high-
density current-conducting ceramic with the use of electrical-discharge
machining. Part 2. Refract Ind Ceram. 2016;57(3):283-287.
23. Silvestre CM, Nguyen V, Jansen H, et al. Deep reactive ion etching of
grass-freewidely-spaced periodic 2D arrays, using sacrificial struc
tures. Microelectron Eng. 2020;223:111228.
24. Li Y, Zhang H, Yang R, et al. In-plane silicon microneedles with open
capillary microfluidic networks by deep reactive ion etching and sacri
ficial layer based sharpening. Sensors Actuators, A Phys. 2 019; 292:
149-157.
25. Sahoo P, Patra K, Szalay T, et al. Determination of minimum uncut
chip thickness and size effects in micro-milling of P-20 die steel using
surface quality and process signal parameters. Int J Adv Manuf Tech
nol. 2020;106(11-12):4675-4691.
26. Ren Y, Li C, Li W, et al. Study on micro-grinding quality in micro-
grinding tool for single crystal silicon. J Manuf Process. 2019; 42
(May):246-256.
27. Leo Kumar SP. Measurement and uncertainty analysis of surface
roughness and material removal rate in micro turning operation and
process parameters optimization. Meas J Int Meas Confed. 2019; 140:
538-547.
28. Suresh N, Ganesh S, Jagadesh T. Investigations into edge radius and
point angle on energy consumption during micro drilling of titanium
alloy. Mater Today Proc. 2019;26:586-591.
29. Liao Z, Axinte DA. On monitoring chip formation, penetration depth
and cutting malfunctions in bone micro-drilling via acoustic emission.
J Mater Process Technol. 2016;229:82-93.
30. Brehl DE, Dow TA. Review of vibration-assisted machining. Precis
Eng. 2008;32(3):153-172.
31. Babitsky VI, Kalashnikov AN, Meadows A, et al. Ultrasonically assist
ed turning of aviation materials. J Mater Process Technol. 2003;132(1-
3):157-167.
32. Suárez A, Veiga F, de Lacalle LNL, et al. Effects of Ultrasonics-Assist
ed Face Milling on Surface Integrity and Fatigue Life of Ni-Alloy 718.
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-20
J Mater Eng Perform. 2016;25(11):5076-5086.
33. BIE Wenbo, Bo Z, Fan C, et al. Progress of ultrasonic vibration-assist
ed machining surface micro-texture and serviceability. Diam Abrasives
Eng Aug. 2023;43(No. 4).
34. Chern GL, Chang YC. Using two-dimensional vibration cutting for
micro-milling. Int J Mach Tools Manuf. 2006;46(6):659-666.
35. Chen W, Teng X, Zheng L, et al. Burr reduction mechanism in vibra
tion-assisted micro milling. Manuf Lett. 2018;16:6-9.
36. Li KM, Wang SL. Effect of tool wear in ultrasonic vibration-assisted
micro-milling. Proc Inst Mech Eng Part B J Eng Manuf. 2014;228(6):
847-855.
37. Lian H, Guo Z, Huang Z, et al. Experimental research of Al6061 on ul
trasonic vibration assisted micro-milling. Procedia CIRP. 2013;6: 561-
564.
38. Ibrahim R, Rahim EA, Ibrahim AA, et al. The effect on the application
of coolant and Ultrasonic Vibration Assisted Micro Milling on machin
ing performance. Applied Mechanics and Materials 2014;660:65-69.
39. Mokhtari A, Jalili MM, Mazidi A, Abootorabi MM. European Journal
of Mechanics / A Solids Size dependent vibration analysis of micro-
milling operations with process damping and structural nonlinearities.
Eur J Mech / A Solids. 2019;76(August 2018):57-69.
40. Yan Y, Jiang C, Yan H. Probabilistic model of the surface residual
height under longitudinal torsional ultrasonic vibration assisted micro
milling TC4. Int J Adv Manuf Technol. 2024;131(5-6):2837-2855.
41. Özel T, Olleak A, Thepsonthi T. Micro milling of titanium alloy Ti-
6Al-4V: 3-D finite element modeling for prediction of chip flow and
burr formation. Prod Eng. 2017;11(4-5):435-444.
42. Teng X, Huo D, Shyha I, et al. An experimental study on tool wear be
haviour in micro milling of nano Mg / Ti metal matrix composites. In
ternational Journal of Advanced Manufacturing Technology 2018:
2127-2140.
43. Xu LH, Na HB, Han GC. Machinablity improvement with ultrasonic
vibration-assisted micro-milling. Adv Mech Eng. 2018;10(12):1-12.
44. Huo D, Lin C, Choong ZJ, et al. Surface and subsurface characterisa
tion in micro-milling of monocrystalline silicon. Int J Adv Manuf Tech
nol. 2015;81(5-8):1319-1331.
45. Dadgari A, Huo D, Swailes D. Investigation on tool wear and tool life
prediction in micro-milling of Ti-6Al-4V. Nanotechnol Precis Eng.
2018;1(4):218-225.
46. Huo D, Lin C, Dalgarno K. An experimental investigation on micro
machining of fine-grained graphite. Int J Adv Manuf Technol. 2014;72
(5-8):943-953.
47. Kiswanto G, Johan YR, Poly, et al.. IOP Conf Ser Mater Sci Eng.
2019;654(1):012012.
48. Zhang Y, Yuan Z, Fang B, et al. Study on the mechanism of burr for
mation by simulation and experiment in ultrasonic vibration-assisted
micromilling. Micromachines. 2023;14(3):625.
49. Ding H, Chen SJ, Ibrahim R, et al. Investigation of the size effect on
burr formation in two-dimensional vibration-assisted micro end mill
ing. P I Mech Eeg B-J Een. 2011;225(B11):2032-2039.
50. Zheng L, Chen W, Huo D. Investigation on the tool wear suppression
mechanism in non-resonant vibration-assisted micro milling. Microma
chines. 2020;11(4):380.
51. Greco S, Klauer K, Kirsch B, et al. Vibration-assisted micro milling of
AISI 316L produced by laser-based powder bed fusion. J Manuf Pro
cess. 2021;71(June):298-305.
52. Greco S, Kirsch B, Aurich JC. Simulation and application of a piezo-
driven system enabling vibration-assisted micro milling. 2nd Interna
tional Conference of the DFG International Research Training Group
2057 - Physical Modeling for Virtual Manufacturing. 2021; 89(3): 3:1-
3:0.
53. Huan H, Xu W, Zhao B, et al. Simulation study of ultrasonic elliptical
vibration cutting of TiC particle-reinforced titanium matrix compos
ites. Metals (Basel). 2022;12(10):1-13.
54. Tan RZhao XSun Tet al. Experimental Investigation on micro-
groove manufacturing of Ti-6Al-4V alloy by using ultrasonic elliptical
vibration assisted cutting. Materials (Basel). 2019;12(19):3086.
55. Chen X, Tang J, Shao W, et al. An analytical and experimental study
on cutting characteristics and transient cutting force modeling in feed
directional ultrasonic vibration-assisted cutting of high strength alloys.
Materials (Basel). 2022;15(20).
56. Rinck PM, Gueray A, Zaeh MF. Modeling of cutting forces in 1-D and
2-D ultrasonic vibration-assisted milling of Ti-6Al-4V. Int J Adv
Manuf Technol. 2022;119(3-4):1807-1819.
57. Jin X, Poudel A. 1712 . Experimental study on high frequency chatter
attenuation in 2-D vibration assisted micro milling process. J Vibroeng
2015;17(6):2743-2754.
58. Ma L, Howard I, Pang M, et al. Experimental investigation of cutting
vibration during micro-end-milling of the straight groove. Microma
chines. 2020;11(5):494.
59. Ding H, Chen SJ, Cheng K. Two-dimensional vibration-assisted micro
end milling: Cutting force modelling and machining process dynam
ics. Proc Inst Mech Eng Part B J Eng Manuf. 2 010; 224(12): 1775-
1783.
60. Ding H, Chen SJ, Cheng K. Dynamic surface generation modeling of
two-dimensional vibration-assisted micro-end-milling. Int J Adv
Manuf Technol. 2011;53(9-12):1075-1079.
61. Shang P, Huang S, Liu X. Modeling and experimental study on cutting
forces of 2D vibration assisted micro-milling. China Mech Eng. 2021;
32(6):648-657.
62. Rinck PM, Gueray A, Kleinwort R, et al. Experimental investigations
on longitudinal-torsional vibration-assisted milling of Ti-6Al-4V. Int J
Adv Manuf Technol. 2020;108(11-12):3607-3618.
63. Balázs BZ, Geier N, Takács M, et al. A review on micro-milling: re
cent advances and future trends. Int J Adv Manuf Technol. 2021;112(3-
4):655-684.
64. Li P. Micromilling of hardened tool steels.mechanical maritime & ma
terials engineering. 2009.
65. Dib MHM, Duduch JG, Jasinevicius RG. Minimum chip thickness de
termination by means of cutting force signal in micro endmilling. Pre
cis Eng. 2018;51(August 2017):244-262.
66. Son SM, Lim HS, Ahn JH. Effects of the friction coefficient on the
minimum cutting thickness in micro cutting. Int J Mach Tools Manuf.
2005;45(4-5):529-535.
67. Zhang Y, Zhang Q, Zhao J, et al. Ultrasonic vibration assisted milling
of titanium alloy microchannel. Precis Eng. 2024;88:251-265.
68. Ding H, Chen S, Cheng K. Two dimensional vibration-assisted micro-
milling: kinematics simulation , chip thickness computation and analy
sis. Adv. Mater. Res 2010;(97-101):2779-2784.
69. Yi J, Liu X, Wang T, et al. Surface quality study of longitudinal tor
sional ultrasonic micro-milling of borosilicate glass based on morpho
logical modeling. Int J Adv Manuf Technol 2024;133(1-2):183-198.
70. Ibrahim R, Rafai NH, Rahim EA, et al. A study of tool motion in 2 di
mensional ultrasonic assisted micro-milling. Applied Mechanics & Ma
terials. 2015;815:328-331.
71. Chen W, Zheng L, Huo D, et al. Surface texture formation by non-res
onant vibration assisted micro milling. J Micromechanics Microengi
neering. 2018;28(2):025006.
72. Zheng L, Xie W, Huo D. Modelling and experimental investigation on
textured surface generation in vibration-assisted micro-milling. J of
Materials Process Technol. 2019;266:339-350.
73. Zhang X, Yu T, Wang W. Dynamic cutting force prediction for micro
end milling considering tool vibrations and run-out.P I Mech Eng C-J
Mec 2019;233(7):2248-2261.
74. He J, Guo Z, Lian H, et al. Improving the machining quality of micro
structures by using electrophoresis-assisted ultrasonic micromilling
machining. Int J Precis Eng Manuf - Green Technol. 2020; 7(1): 15 1-
161.
75. Sobamowo MG, Ojolo SJ, Olawale OK, et al. Force modeling and dy
namic behaviour of multi-dimensional vibration assisted micro-end
milling: Linear and nonlinear analyses. 2020;143(February):224-261.
76. Yuan Z, Fang B, Dong Y, et al. Study on surface texture and corrosion
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-21
resistance of ultrasonic vibration-assisted micromilling Inconel718. Int
J Adv Manuf Technol. 2022;121(1-2):601-618.
77. Shang P, Yang Z, Zhang H, et al. Study on the mechanism of bone
temperature diffusion in vibration-assisted micro milling. 2022 IEEE
Int Conf Manip Manuf Meas Nanoscale. 2022;(August):349-354.
78. Yuan Z, Fang B, Zhang Y, et al. Effect of cutting parameters on chips
and burrs formation with traditional micromilling and ultrasonic vibra
tion assisted micromilling. Int J Adv Manuf Technol. 2022; 119(3-4):
2615-2628.
79. Su ZP, Liang ZQ, Li J, et al. Experimental research on ultrasonic spi
ral assisted milling and grinding of titanium alloy micro groove. Jour
nal of Mechanical Engineering 2024;60(09): 5-12.
80. Aramcharoen A, Mativenga PT. Size effect and tool geometry in mi
cromilling of tool steel. Precis Eng. 2009;33(4):402-407.
81. Balázs BZ, Takács M. Experimental investigation and optimisation of
the micro milling process of hardened hot-work tool steel. Int J Adv
Manuf Technol. 2020;106(11-12):5289-5305.
82. Fang B, Yuan Z, Li D, et al. Effect of ultrasonic vibration on finished
quality in ultrasonic vibration assisted micromilling of Inconel718.
Chinese J Aeronaut. 2021;34(6):209-219.
83. Kim GD, Loh BG. Characteristics of chip formation in micro V-groov
ing using elliptical vibration cutting. J Micromech Microeng. 2007; 17
(8): 1458-1466.
84. Li G, Li YH, Liao QY, et al. Mechanism of dual-direction vibration-as
sisted (DVA) micro-milling in surface formation considering the tool
life-lengthening effect on the Ti6Al4V: design and experiment. Int J
Adv Manuf Technol. 2022;123(7-8):2313-2330.
85. Chen W, Zheng L, Teng X, et al. Finite element simulation and experi
mental investigation on cutting mechanism in vibration-assisted micro-
milling. Int J Adv Manuf Technol. 2019;105(11):4539-4549.
86. Gillespie LK. The formation and properties of machining burrs. Jour
nal of Manufacturing Science & Engineering. 1976.
87. Aurich JC, Dornfeld D, Arrazola PJ, et al. Burrs-analysis, control and
removal. CIRP Ann - Manuf Technol. 2009;58(2):519-542.
88. Hashimura M, Hassamontr J, Dornfeld DA. Effect of in-plane exit an
gle and rake angles on burr height and thickness in face milling opera
tion. J Manuf Sci Eng Trans ASME. 1999;121(1):13-19.
89. Carlos L, Rosa P. Study of burr behavior in face milling of PH 13-8
Mo stainless steel. CIRP J Manuf Sci Tec. 2015;1:1-9.
90. Piquard R, D'Acunto A, Laheurte P, et al. Micro-end milling of NiTi
biomedical alloys , burr formation and phase. Precis Eng . 2014; 38 :
356-364.
91. OToole L, Kang CW, Fang FZ. Precision micro-milling process:
state of the art. Adv Manuf. 2021;9(2):173-205.
92. Kai Y, Ba IQ, Fu YU, et al. Modeling and experimental analysis of the
mechanism of micro-burr formation in micro-end-milling process .
Nanotechnology and Precision Engineering. 2010;8(1):75-83.
93. Wan Y, Cheng K, Sun S. An innovative method for surface defects pre
vention in micro milling and its implementation perspectives. P I
Mech Eng J-J Eng. 2013;227(12):1347-1355.
94. Xing Q, Gao M, Yao Z, et al. Research on ultrasonic vibration-assisted
micro-EDM milling of microgrooves with large aspect ratio. Int J Adv
Manuf Technol. 2023;128(3-4):1629-1639.
95. Li G, Wang B, Xue J, et al. Development of vibration-assisted micro-
milling device and effect of vibration parameters on surface quality
and exit-burr. P I Mech Eng B-J Eng.2019;233(6):1723-1729.
96. Han G, Pan G, Wu W, et al. Research on the burr forming characteris
tics of ultrasonic assisted micro-milling process. Trans Beijing Inst
Technol. 2018;38(9).
97. Ciftci I, Turker M, Seker U. Evaluation of tool wear when machining
SiCp-reinforced Al-2014 alloy matrix composites. Mater Des. 2004;25
(3):251-255.
98. Zhu D, Zhang X, Ding H. Tool wear characteristics in machining of
nickel-based superalloys. Int J Mach Tools Manuf. 2013;64:60-77.
99. Kuntoğlu M, Sağlam H. Investigation of progressive tool wear for de
termining of optimized machining parameters in turning. Meas J Int
Meas Confed. 2019;140:427-436.
100. Lan TS, Chuang KC, Chen YM. Optimization of machining parame
ters using fuzzy Taguchi method for reducing tool wear. Appl Sci.
2018;8(7).
101. Oliaei SNB, Karpat Y. Influence of tool wear on machining forces and
tool deflections during micro milling. Int J Adv Manuf Technol. 2016;
84(9-12):1963-1980.
102. Lv D. Influences of high-frequency vibration on tool wear in rotary ul
trasonic machining of glass BK7. Int J Adv Manuf Technol. 2016;84(5-
8):1443-1455.
103. Liu Y, Liu Z, Wang X, et al. Experimental study on tool wear in ultra
sonic vibration-assisted milling of C/SiC composites. Int J Adv Manuf
Technol. 2020;107(1-2):425-436.
104. Ding H, Ibrahim R, Cheng K, et al. Experimental study on machinabil
ity improvement of hardened tool steel using two dimensional vibra
tion-assisted micro-end-milling. Int J Mach Tools Manuf. 2010;50(12):
1115-1118.
105. Budinski KG. Tool wear in cutting plastic - abrasion or erosion? Wear.
1999;233-235:362-371.
106. Wang Z, Kovvuri V, Araujo A, et al. Built-up-edge effects on surface
deterioration in micromilling processes. J Manuf Process. 2016; 24:
321-327.
107. Davoudinejad A, Tosello G, Annoni M. Influence of the worn tool af
fected by built-up edge (BUE) on micro end-milling process perfor
mance: A 3D finite element modeling investigation. Int J Precis Eng
Manuf. 2017;18(10):1321-1332.
108. Yuan Z, Dong Y, Ding H, et al. Study on surface quality and corrosion
resistance of ultrasonic vibration assisted micromilling Inconel718. Int
J Adv Manuf Technol. 2022;121(1-2):601-618.
109. Ibrahim MR, Rahim Z, Rahim E, et al. An Experimental investigation
of cutting temperature and tool wear in 2 dimensional ultrasonic vibra
tions assisted micro-milling. MATEC Web Conf. 2017;95:07005.
110. Chen W, Teng X, Huo D, et al. An improved cutting force model for
micro milling considering machining dynamics. Int J Adv Manuf Tech
nol. 2017;93(9-12):3005-3016.
111. LIU X, WANG W, JIANG R, et al. Analytical model of cutting force
in axial ultrasonic vibration-assisted milling in-situ TiB2/7050Al
PRMMCs. Chinese J Aeronaut. 2021;34(4):160-173.
112. Verma GC, Pandey PM, Dixit US. Modeling of static machining force
in axial ultrasonic-vibration assisted milling considering acoustic soft
ening. Int J Mech Sci. 2018;136(December 2017):1-16.
113. Shen X, Zhang J, Yin T, et al. A study on cutting force in micro end
milling with ultrasonic vibration. Adv Mater Res. 2010; 97-101: 1910-
1914.
114. Kim GD, Loh BG. Machining of micro-channels and pyramid patterns
using elliptical vibration cutting. Int J Adv Manuf Technol. 2010;49(9-
12): 961-968.
115. Xu L, Liu Z, Han G, et al. Experimental study on ultrasonic assistant
micro-milling of 45# steel under different grain size conditions. Trans
Beijing Inst Technol. 2018;38(11):1105-1110.
116. Xu L, Chen Y, Han G, et al. Machinability research on the ultrasonic
assisted micro-milling for graphene based aluminum matrix compos
ite. Trans Beijing Inst Technol. 2022;41(8):894-900.
117. Hu H, Sun Y, Lu Z. Simulation and experiment of cutting force in ul
trasonic torsional vibration assisted micro-milling. 5th Int Symp Adv
Opt Manuf Test Technol Des Manuf Test Micro- Nano-Optical Devices
Syst.
118. Parenti P, Park CI, Park SS, et al. Increasing stability of meso / micro
milling cutting by means of ultrasonic vibration assisted machining
piezo-electric actuators. Published online 2014:8536.
119. Shang P, Liu X, Zhang H, et al. Research on cutting force of vibration-
assisted micro-milling of bone materials. 2022 IEEE Int Conf Manip
Manuf Meas Nanoscale, 3M-NANO 2022 - Proc. 2022.p.344-348.
120. Prabhu P. Investigations on piezo actuator-based nonresonant type
workpiece vibratory system for vibration- assisted micro-milling. J Mi
cromechanics Microengineering. 2023;35(8):657-672.
Journal of Advanced Manufacturing Science and Technology 5(2) (2025) 2025009
2025009-22
121. Wissmiller DL, Pfefferkorn FE. Technical paper: Micro end mill tool
temperature measurement and prediction. J Manuf Process. 2009; 11
(1):45-53.
122. Mamedov A, Lazoglu I. Thermal analysis of micro milling titanium al
loy Ti-6Al-4V. J Mater Process Technol. 2016;229(October 2015):659-
667.
123. Yang K, Liang YC, Zheng KN, et al. Tool edge radius effect on cut
ting temperature in micro-end-milling process. Int J Adv Manuf Tech
nol. 2011;52(9-12):905-912.
124. Elsadek AA, Gaafer AM, Mohamed SS, et al. Prediction and optimiza
tion of cutting temperature on hard-turning of AISI H13 hot work
steel. SN Appl Sci. 2020;2(4):1-12.
125. Sun YJ, Gong H, Gui SY, et al. Towards understanding the cutting
temperature in ultrasonic vibration-assisted drilling based on the dy
namic contact characteristics between the cutting edge and workpiece.
Ultrasonics. 2023;135(August):107131.
126. Liu X, Wang W, Jiang R, et al. Analytical model of workpiece temper
ature in axial ultrasonic vibration-assisted milling in situ TiB2/7050Al
MMCs. Int J Adv Manuf Technol. 2022;119(3-4):1659-1672.
127. Chen L, Deng D, Pi G, et al. Burr formation and surface roughness
characteristics in micro-milling of microchannels. Int J Adv Manuf
Technol. 2020;111(5-6):1277-1290.
128. Biermann D, Steiner M. Analysis of micro burr formation in austenitic
stainless steel X5CrNi18-10. Procedia CIRP. 2012;3(1):97-102.
129. Uhlmann E, Piltz S, Schauer K. Micro milling of sintered tungsten-
copper composite materials. J Mater Process Technol. 2005; 167(2-3):
402-407.
130. Serje D, Pacheco J, Diez E. Micromilling research: current trends and
future prospects. Int J Adv Manuf Technol. 2020;111:1889-1916.
131. Li KM, Chou SY. Journal of materials processing technology experi
mental evaluation of minimum quantity lubrication in near micro-mill
ing. J Mater Process Tech. 2010;210(15):2163-2170.
132. Shaw C. Energy conversion in cutting and grinding. CIRP Ann. 1996;
45(1):101-104.
133. Search H, Journals C, Contact A, et al. An investigation of cutting me
chanics in 2 dimensional ultrasonic vibration assisted milling toward
chip thickness and chip formation. 3rd International Conference of
Mechanical Engineering Research. 2015;100:012057.
134. Liu X, Wang W, Jiang R, et al. Investigation on surface roughness in
axial ultrasonic vibration-assisted milling of in situ TiB2/7050Al
MMCs. Int J Adv Manuf Technol. 2020;111(1-2):63-75.
135. Kiswanto G, Johan YR, Ko TJ. Machined surface roughness geometry
model development on ultrasonic vibration assisted micromilling with
end mill. Key Engineering Materials 2020;846(1):122-127.
136. Guo L, Fei D, Bo W, et al. Study on the micro-milling of optical mi
crostructure with the assist of the workpiece vibration. 7th internation
al Symposium on Advanced Optical Manufacturing and Testing Tech
nologies: Design, Manufacturing, and Testing of Micro- and Nano-op
tical Devices and Systems. 2014;9283:1-6.
137. Jin X, Xie B. Experimental study on surface generation in vibration-
assisted micro-milling of glass. Int J Adv Manuf Technol. 2015;81(1-
4):507-512.
138. Du Y, Song Q, Liu Z. Prediction of micro milling force and surface
roughness considering size dependent vibration of micro end mill.
Int J Adv Manuf Technol. 2022;119(9-10):5807-5820.
139. Hu HJ, Sun YZ, Lu ZS. Simulation of residual stress in ultrasonic vi
bration assisted micro-milling. Adv Mater Res. 2011;188:381-384.
140. Chen W, Huo D, Hale J, et al. Kinematics and tool-workpiece separa
tion analysis of vibration assisted milling. Int J Mech Sci. 2018;136(Ju
ly 2017):169-178.
141. Lu Z, Hu H, Sun, Y, et al. Study on residual stresses in Ultrasonic Tor
sional Vibration Assisted Micro-milling. 5th International Symposium
on Advanced Optical Manufacturing and Testing Technologies: De
sign, Manufacturing, and Testing of Micro- and Nano-optical Devices
and Systems. 2010;7657:1-5.
142. Fritz K. Manufacturing processes. Springer Berlin Heidelberg. 2011
143. Milton CS, Cookson JO. Metal cutting principles. Tribology Interna
tional. 1989;18(1):55.
144. Kim JS, Kim JW, Lee SW. Experimental characterization on micro-
end milling of titanium alloy using nanofluid minimum quantity lubri
cation with chilly gas. Int J Adv Manuf Technol. 2017; 91(5-8):2741-
2749.
145. Sun J, Wong YS, Rahman M, et al. Effects of coolant supply methods
and cutting conditions on tool life in end milling titanium alloy. Mach
Sci Technol. 2006;10(3):355-370.
146. Rahman M, Wang ZG, Wong YS. A Review on ultrasonic machining
of titanium alloys. JSME Int Journal, Ser C Mech Syst Mach Elem
Manuf. 2006;49(1):11-20.
147. Kumar Wagri N, Petare A, Agrawal A, et al. An overview of the ma
chinability of alloy steel. Mater Today Proc. 2022;62:3771-3781.
148. Hafiz MSA, Kawaz MHA, Mohamad WNF, et al. A review on feasibil
ity study of ultrasonic assisted machining on aircraft component manu
facturing. IOP Conf Ser Mater Sci Eng. 2017;270(1).
149. Santos MC, Machado AR, Sales WF, Barrozo MAS, Ezugwu EO. Ma
chining of aluminum alloys: a review. Int J Adv Manuf Technol. 2016;
86(9-12):3067-3080.
150. Dandekar CR, Shin YC. Modeling of machining of composite materi
als: A review. Int J Mach Tools Manuf. 2012;57:102-121.
151. Toulfatzis AI, Pantazopoulos GA, David CN, et al. Machinability of
eco-friendly lead-free brass alloys: Cutting-force and surface-rough
ness optimization. Metals (Basel). 2018;8(4):1-18.
152. Kumar NS, Harsha P, Sudharshan N, et al. A Review on machining
process of glass materials. Int J Res Eng Sci Manag. 2016; 15(1):
17-19.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License http://creativecommons. org/li
censes/by/4.0)which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
Vibration-assisted micro-milling has emerged as a promising technique in vibration-assisted machining, aiming to enhance machining quality by applying small-amplitude high-frequency vibrations to the workpiece during micro-milling operations. This paper presents a novel design of a piezo actuator-based non-resonant type workpiece vibratory system specifically designed for 2D vibration-assisted micro-milling application. The developed system is experimentally evaluated by generating 2D vibrations, considering each axis’ cross-coupling and hysteresis displacements, at various actuation frequencies ranging from 100 to 600 Hz. The application of the proposed setup focuses on the micro-milling of slots on an Aluminum 6061 and Titanium grade-5 workpiece samples, utilizing 2D sinusoidal out-of-phase vibrations along x and y directions with a peak-to-valley amplitude of 10 µm. The cutting force data is collected and recorded by a tool force dynamometer, and the root mean square value of the cutting force is used as a parameter to compare conventional micro-milling with vibration-assisted micro-milling processes. In addition, the study compares the average surface roughness of the milled slots when using vibration assistance and without it. The experimental results demonstrate a significant decrease in cutting force and an improvement in the average surface roughness of the milled slot when implementing 2D vibration-assisted micro-milling. These findings highlight the significance of the design, characterization, applicability, and suitability of the proposed non-resonant workpiece vibratory system in the field of vibration-assisted micro-milling process.
Article
Full-text available
Borosilicate glass has good light transmittance and stable chemical property, which is an ideal material for microfluidic chip matrix, However, brittle fracture is easy to occur during processing, which is a typical material difficult to process. This limits the surface accuracy. In recent years, longitudinal torsional ultrasonic vibration–assisted milling (LTUVAM) has been proposed as an effective way to machine hard and brittle materials. To elucidate the mechanism of material removal methods and elaborate the material removal mechanism during longitudinal torsional ultrasonic vibration–assisted milling process, this paper established a 3D morphology prediction model to investigate the material removal method. Firstly, the three-dimensional surface morphology model was created by describing the intricate tool path and the workpiece surface morphology reconstruction process under ultrasonic conditions while also considering the tool run-out effect. The model exhibited a certain degree of scalability, enabling the acquisition of various process morphology prediction models by altering the tool coordinates via matrix manipulation. Secondly, the accuracy of the model was verified by longitudinal torsional ultrasonic processing experiments. Thirdly, longitudinal torsional ultrasonic vibration–assisted milling experiments and longitudinal ultrasonic vibration–assisted milling experiments were conducted, and the surface roughness of the machined workpieces was measured. The experimental results show that LTUVAM further reduces the roughness compared with LUVAM, indicating that the reduction ratio reaches a maximum value of 61.06% at the spindle speed of 16,000 RPM, and then, the reduction ratio decreases to 42.88% with the increase of spindle speed. Combining modeling and experimental results, we concluded that LTUVAM was more advantageous in achieving plastic material removal and enhancing the surface quality of the machined surface compared to LUVAM. And under the same process conditions, as the spindle speed increases, the surface roughness of the workpiece increases first and then decreases.
Article
Full-text available
Longitudinal-torsional ultrasonic vibration assisted micro-milling (LUVAM) can significantly improve the machinability of TC4 titanium alloy. With the continuous improvement of machining accuracy of many micro parts in the special industry field, the surface formation mechanism of TC4 titanium alloy under LUVAM has gradually become a research hotspot, and it is necessary to develop a reliable prediction model of the three-dimensional (3D) surface morphology of the machined surface of TC4 titanium alloy. In the study, the surface formation mechanism of TC4 titanium alloy under LUVAM is explored by a probabilistic model. Firstly, the mechanism of the intermittent cutting characteristics of LUVAM is analyzed by the trajectories of the tool tip, and the instantaneous undeformed chip thickness (IUCT) of LUVAM is built to analyze the effect of ultrasonic vibration on the surface formation mechanism of TC4 titanium alloy under LUVAM. Secondly, the model of the comprehensive trajectories of the tool tip is established considering the radial runout of the cutter, the flexible deformation of the cutter and the elastic recovery of the machined surface, then a probabilistic model of the machined surface residual material height of TC4 titanium alloy under LUVAM is further established to predict the 3D surface morphology of the machined surface of TC4 titanium alloy under LUVAM. Finally, the 3D surface morphology of the machined surface of TC4 titanium alloy under LUVAM is simulated, and the experiments of LUVAM applied to TC4 titanium alloy were carried out to explore the influence of processing parameters on the surface morphology. The simulated and experimental results show the simulation results are consistent with the experimental results, which verifies the accuracy and reliability of the theoretical model. As a result, the probabilistic model of the residual surface material height of TC4 titanium alloy under LUVAM can provide the theoretical and technical reference for the surface formation mechanism of TC4 titanium alloy under LUVAM, which may further promote the development and application of TC4 titanium alloy in many micro-scale parts processing fields.
Article
Full-text available
For the purpose of improving the machining efficiency and quality of microgrooves with a large aspect ratio on titanium alloy, ultrasonic vibration–assisted micro-electrical discharge machining (micro-EDM) is employed. It can greatly reduce the occurrence of abnormal discharges and increase the valid discharge ratio during the processing so that large aspect ratio microgrooves can be obtained more efficiently. Based on the theory of the ultrasonic vibration system, this research carried out the selection of the ultrasonic generator, the design of the ultrasonic transducer, and the design of the ultrasonic horn. The amplitude and frequency tests of the ultrasonic vibration system had verified the effectiveness of the ultrasonic vibration system. Finally, on the foundation of the single factor experiment, the present research explored the influence of processing parameters (pulse width, pulse interval, peak current, and ultrasonic amplitude) on the material removal rate (MRR), relative tool wear rate (RTWR), and surface roughness (Ra) and proved the effectiveness of additional ultrasonic vibration in improving the machining efficiency and surface quality of microgrooves with a large aspect ratio on titanium alloy.
Article
Full-text available
Machinability is an important aspect for the machining of any materials. In general, it is controlled by means of tool life, surface roughness, power consumption, chip morphology, cutting forces, cutting fluid and material removal rate. Furthermore, it is also affected the microstructure, grain size, hardness, yield, tensile strength and chemical composition of the work piece material and tool materials. Advanced materials such as alloy steel, structural ceramics, and hardened steel are difficult to machine using conventional tool materials. The machining parameters such as depth of cut, cutting velocity and feed rate play a very important role to achieve high quality of surface finish on the machined surface. High interface temperatures at the tool tip and work piece material resulted poor surface finish and increases cutting forces and tool wear. A high cutting speeds with high feed and depth of cut causes high heat generation which reduces the tool substrates bonding strength resulting in accelerated tool wear and reducing tool life. In this article influence of heat treatment to enhance machinability alloy steel reviewed in terms of tool life, surface roughness, cutting forces and chip morphology. This article will be very useful for the students, research scholar and industrialist working in the area of machining.
Article
Full-text available
Due to the strong plasticity of Inconel 718 and the significant size effect of micromachining, a large number of burrs will be produced in traditional processing. The addition of ultrasonic vibration during machining can reduce the burr problem. The mechanism of burr generation in traditional micromilling (TMM) and ultrasonic vibration-assisted micromilling (UVAMM) was analyzed by simulation, and verified by corresponding experiments. It is found that applying high-frequency ultrasonic vibration in the milling feed direction can reduce cutting temperature and cutting force, improve chip breaking ability, and reduce burr formation. When the cutting thickness will reach the minimum cutting thickness hmin, the chip will start to form. When A/ƒz > 1/2, the tracks of the two tool heads start to cut, and the chips are not continuous. Some of the best burr suppression effects were achieved under conditions of low cutting speed (Vc), feed per tooth (ƒz), and large amplitude (A). When A is 6 μm, the size and quantity of burr is the smallest. When ƒz reaches 6 μm, large continuous burrs appear at the top of the groove. The experimental results further confirm the accuracy of the simulation results and provide parameter reference.
Article
Compared with conventional drilling (CD), ultrasonic vibration-assisted drilling(UVAD) is experimentally proven a promising method to reduce the cutting temperature. But sometimes cutting temperature also becomes higher in UVAD than in CD. To further make clear the cutting temperature mechanisms in UVAD, this study aims to study the effect of tool's ultrasonic vibration on the cutting heat generation and heat dissipation at a relatively micro level. Firstly, drilling experiments are designed to explore the variations of cutting heat under different ultrasonic vibrations. Then, to analyze the influence of ultrasonic vibration on the cutting heat theoretically, a kinematic model is developed to describe the dynamic contact between the cutting edge and workpiece in UVAD. Besides, a cutting heat analysis model based on the contact characteristics in UVAD is proposed to study and compare the variations of cutting heat generation. The effect of ultrasonic vibration on the cutting heat generation, heat dispassion, and the resultant cutting temperature under different machining in UVAD conditions are discussed. It is indicated from the theoretical analysis that more cutting heat tends to be produced due to the significantly increased sliding velocity on the cutting edge-workpiece interface when the ultrasonic vibration is applied. The analysis agrees with the experimental results that the cutting temperature in dry UVAD is higher than in dry CD. But on the other hand, ultrasonic vibration can also improve the lubrication and cooling effect under appropriate machining conditions, which is beneficial to the reduction in cutting temperature. The investigation shows the multifaceted influences of ultrasonic vibration on the cutting temperature in the drilling process in detail, which provides a reference for UVAD parameter optimization.