International Journal of Advanced Manufacturing Technology Impact Factor & Information

Publisher: Springer Verlag

Journal description

The International Journal of Advanced Manufacturing Technology aims to bridge the gap between pure research journals and the more practical publications on factory automation systems. It therefore provides an outstanding forum for international papers covering applications-based research topics spanning the entire manufacturing spectrum. Published papers will continue to be to a high standard of excellence. This is ensured by subjecting each paper to a strict assessment procedure by members of the international editorial advisory board. The objective is firmly to establish that papers submitted do meet the requirements especially in the context of proven applications-based research work. It is not acceptable that papers have a theoretical content alone. The journal covers the full range of advanced manufacturing technology. It therefore publishes papers on robotics; artificial intelligence including speech technology vision and tactile sensing; grippers; programmable controllers; lasers and other advanced processes; programmable assembly; flexible manufacturing systems; computer integrated manufacturing; inspection; automatic test equipment; simulation; motors controls and drives; local area networking; production planing and control; human factors; and economics.

Current impact factor: 1.78

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.779
2012 Impact Factor 1.205
2011 Impact Factor 1.103
2010 Impact Factor 1.068
2009 Impact Factor 1.128
2008 Impact Factor 0.743
2007 Impact Factor 0.378
2006 Impact Factor 0.418
2005 Impact Factor 0.406
2004 Impact Factor 0.352
2003 Impact Factor 0.446
2002 Impact Factor 0.376
2001 Impact Factor 0.39
2000 Impact Factor 0.374
1999 Impact Factor 0.333
1998 Impact Factor 0.31
1997 Impact Factor 0.184
1996 Impact Factor 0.144

Impact factor over time

Impact factor
Year

Additional details

5-year impact 1.42
Cited half-life 5.00
Immediacy index 0.11
Eigenfactor 0.02
Article influence 0.34
Website International Journal of Advanced Manufacturing Technology website
Other titles International journal of advanced manufacturing technology (Online), Advanced manufacturing technology
ISSN 0268-3768
OCLC 43068796
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as arXiv.org
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    ​ green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Among the miniaturization processes, micro-machining is one of the most used processes in the modern industries. In spite of the high number of micro-machining applications, several gaps should be investigated, such as the size effect. This paper analyzes the influence of the size effect on the specific cutting energy. Workpieces of AISI H13 steel with different austenitic grain size were machined with a tool of 0.5 mm of diameter and coating of (TiAl)N. The input parameters were the cutting speed, feed rate, and radial depth of cut. The responses were the cutting force and specific cutting energy. The results showed that the reduction of the specific cutting energy with the increase of feed rate for small grain sizes corresponded to 73 %. In the same way, the reduction for the large grain size corresponded to 70 %.
    International Journal of Advanced Manufacturing Technology 01/2016; DOI:10.1007/s00170-015-7321-x
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    ABSTRACT: Vertical rolling has been widely used in the roughing stand of hot strip rolling to improve the precision of slab width which influences the finished product quality significantly in actual production. Double parabolic dog-bone function model and corresponding velocity and strain rate fields are firstly proposed based on the incompressibility condition and stream function. They are successfully applied to three-dimensional vertical rolling. Using the first variation principle of rigid-plastic material, an analytical solution of slab total power functional in vertical rolling is obtained. Then, the shape parameters and the rolling force are received by minimizing the power functional. The error of shape and power parameters is within 4 % compared with finite element method (FEM) simulation’s result and less than 9.5 % compared with other models’ result.
    International Journal of Advanced Manufacturing Technology 09/2015; DOI:10.1007/s00170-015-7393-7
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    ABSTRACT: This paper presents an experimental evaluation of the performance of cubic boron nitride (CBN) tools in the machining of high-chromium white cast iron. Two types of CBN tool materials were evaluated in the tests, including polycrystalline cubic boron nitride (pCBN) and binder-less crystalline cubic boron nitride (bCBN). Performance in terms of the levels of cutting forces, tool wear, surface roughness and process stability was evaluated during and after cutting tests. The work materials used in the cutting tests included two groups with chemical compositions of two levels of carbon silicon (lower C-Si and higher C-Si) in as-cast and hardened states, respectively. Test results indicate that the cutting tool materials clearly exhibited different behaviour in the machining of high-chromium white cast iron. The pCBN tools demonstrated lower tool wear rates than the bCBN tools but had higher roughness levels on the workpiece surfaces. The cutting tools also behaved differently according to the different levels of C-Si content and heat treatment of the work materials. In addition, the study reveals the mechanism of the interactions between CBN tools and high-chromium white cast iron under a range of machining parameters.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6863-2
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    ABSTRACT: We describe a study of the laser drilling of stainless steel (SUS304) using a fiber laser with a wavelength of 1090 nm, assisted by intermittent gas jets. By comparing with the results obtained with the conventional continuous gas jets used in assisted laser drilling, we demonstrate that the use of the intermittent gas jets can effectively increase the material removal rate and reduce the consumption of assist gas. The intermittent gas jets can be modulated according to the frequency to effectively reduce the overcooling effect of the assist gas. Experimental results show that both the drilling depth and machining quality can be greatly and simultaneously improved. Two types of intermittent gas jets, namely, straight and swirling jets, are considered, and the effects of the intermittent frequencies and gas pressures on the laser drilling are investigated and discussed. We conclude that the intermittent gas jet method greatly reduces heat loss and slag formation around the hole exit in the laser drilling process. Compared with the results obtained when using a continuous straight gas jet, laser drilling with a 20-Hz intermittent straight gas jet reduces the drilled hole entrance diameter and increases the drilled hole depth by a factor of up to 1.7. The intermittent gas jet method can reduce the quantity of assist gas being used, and therefore the cost, especially when expensive gases such as helium and argon are being used.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6847-2
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    ABSTRACT: In the present work, friction stir spot welding (FSSW) was applied to interstitial free (IF) steel sheets having a thickness of 1 mm. The silicon carbide (SiC) nanopowders were then added to the joint in order to enhance the mechanical properties and also to prevent the grain growth in the stir zone (SZ). The impact of welding parameters on the welds quality, were also investigated. Scanning electron microscopy (SEM), field emission scanning electron microscopy (FESEM), microhardness profiles, and tensile shear analyses revealed that adding the SiC nanopowders to the welds led to remarkable increase in the mechanical properties and hardness of the produced welds.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6788-9
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    ABSTRACT: Precision devices require surface finish of a few nanometers. The choice of compliant coated abrasive tools used in manufacturing such devices is discussed including a method for selecting a suitable one for a given component using decision-making techniques. Multiple conflicting criteria such as surface roughness and the polishing time influence the selection of appropriate compliant polishing tool. Hence, multi-criteria decision making methods (MCDMs) are implemented to rank the suitability of different polishing processes for a given workpiece geometry. New criteria such as compliance and surface integrity are introduced for such selection. In order to differentiate the level of complexity involved in these MCDMs, a traditional analytical hierarchy process (AHP) and a Fuzzy VIšekriterijumsko KOmpromisno Resenje (multi-criteria optimization and compromise solution, VIKOR) method are chosen. This study illustrates the capability of these two MCDMs as a polishing process selection tool using the linguistic information through a case study. From the decision makers’ inputs, rankings of polishing tools were obtained and compared using these two methods. New factors such as compliance are seen to affect the choice significantly. The approach discussed in this work could be used for developing an intelligent decision-making system for choosing polishing tools with respect to the given conditions.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6822-y
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    ABSTRACT: Die service life improvement is an important problem in high-pressure die casting industry. Former studies show that biomimetic laser remelting process provides desirable microstructural and microhardness changes, which induces the intensified particles for improving the service life. The present study concerns laser surface remelting of H13 tool steel in a quenched and tempered state using an Nd:YAG laser. This purpose is to obtain data for establishing database of laser parameters for H13 material, which is helpful for applying laser remelting on die casting dies. The influence of laser parameters on the characteristics of the unit has been investigated. The interrelationships among the laser processing parameters, the penetration depth, the width, and the area of the unit were discussed by single-factor experiments. A set of die casting die was selected and processed by laser remelting, and the die service life has been increased from 13,000 shots to 27,000 shots under practical die casting conditions.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6812-0
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    ABSTRACT: The preform design is the key to bulk metal forming. An approach to optimize 3D preform shape in multi-step die forging based on quasi-equipotential field method and response surface method is employed. Firstly, optimum preforging shape is determined by means of quasi-equipotential field method and response surface optimization. Secondly, longitudinal and cross-section curve methods are introduced to design advisable blocking blank based on the optimized preforging shape. Using the method, the optimized preforging shape is determined in the hot forging of the pendulum mass. Based on the optimized preforging shape, the advisable blocking blank is constructed. The final preform design, including the advisable blocking blank and preforging shape, is completed. The desired pendulum mass forging without any defects and with smaller flash is obtained.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-014-6775-6
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    ABSTRACT: Prediction of milling forces in peripheral milling of curved surface with variable curvature is complex. And the complexity arises due to the effects of cutter runout. This paper presents a method to predict milling force taking runout into account. Based on the concept of linear interpolation, methods are developed to calculate the instantaneous tool position, angular position, feed direction, and corresponding machining time. Then, a new analytical model of instantaneous uncut chip thickness is derived in the presence of cutter runout by coordinate transformation. In addition, the entry/exit angles are described considering the workpiece boundary. Milling tests are carried out to verify the presented method. A good agreement between predicted results and experimental results both in variation tendency and magnitude is achieved, which shows that the presented method is efficient. Meanwhile, comparative study with the existing method from literature is made.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6803-1
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    ABSTRACT: Unstable environment of industrial systems is a source of various uncertainties in production features such as processing times. Moreover, selecting appropriate dispatching rules is a complex and significant issue in practical problems under uncertainty. Most previous studies have pointed out that using a single dispatching rule does not necessarily result in an optimal schedule. This study proposes a novel hybrid algorithm based on computer simulation and adaptive neuro-fuzzy inference system (ANFIS) to select optimal dispatching rule for each machine in job shop scheduling problems (JSSPs) under uncertain conditions so that makespan is minimized. It captures uncertainty using fuzzy set theory and assumes that processing times are in the form of fuzzy numbers. This algorithm contributes to the previous works in two important ways. First, the inherent uncertainty of JSSPs is reflected in fuzzy processing times. Second, this is the first study that develops an approach based on computer simulation and ANFIS for selecting the optimal dispatching rules and minimizing the makespan in JSSPs under uncertainty. The computational results demonstrate the superiority of this algorithm over the previous studies in the literature.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6795-x
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    ABSTRACT: This paper shows a reconfigurable micro-machine tool (RmMT) controlled by an artificial neural network based on a robust controller with quantitative feedback theory (QFT). In order to improve the performance of the controller, a field programmable gate array (FPGA) was applied. Since micro-machines present parametric uncertainties under different points of operation, linear controllers cannot deal with those uncertainties. The parametric uncertainties of a micro-machine could be described by a set of linear transfer functions in frequency domain to generate a complete model of the micro-machine; this family of transfer functions can be used for designing a robust controller based on QFT. Although robust control based on QFT is an attractive control methodology for dealing with parametric uncertainties in CNC micro-machines, the real-time FPGA implementation is difficult because robust controllers require a complex discrete representation. In contrast, artificial neural networks (ANNs) work with basic elements (neurons) and run using a parallel topology. Moreover, they are described by simple representation, so the real-time FPGA implementation of ANN controller is a better alternative than the QFT controller. The proposed ANN-QFT controller gives excellent results for controlling the CNC micro-machine tool during the transitory response.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-014-6710-x
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    ABSTRACT: Bending of an aluminum alloy thin-walled tube with larger diameter-to-thickness ratio is more difficult than that of a mild steel or stainless steel tube due to its low elastic modulus and yield strength. To solve this problem, experiments were conducted on hydro-bending of bi-layered tubes, which consist of an outer mild steel tube and an inner aluminum alloy thin-walled tube. The wrinkling behavior, springback, cross-sectional non-circularity, and wall thickness variation of the inner aluminum alloy tube were analyzed. It has been shown that the internal pressure plays a prominent role in preventing the wrinkling due to an additional axial tensile stress being introduced to the inner tube through welding the inner tube ends onto the surface of the outer tube. By increasing the internal pressure to a critical value, it is helpful to reduce the magnitude of compressive stress at the inner side of bent tubes, so the onset of winking is prevented. The springback and the cross-sectional non-circularity become smaller, while the thinning rate gets bigger with pressure increasing. Finally, a sound aluminum alloy thin-walled tube with diameter-to-thickness ratio of 63 and relative bending radius of 2.2 was successfully formed under the internal pressure of 25 MPa.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6830-y
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    ABSTRACT: The aim of the present work is to develop a predictive thermal model based on heat transfer principle for the simulation of single-spark microelectric discharge machining (μ-EDM). The three-dimensional model is solved using finite volume method (FVM). It utilizes the Gaussian distribution of heat flux, percentage distribution of energy among the workpiece, tool electrode, and dielectric to perform transient thermal analysis to predict the crater geometry and temperature distribution in the workpiece at different voltages and capacitance values along the x, y, and z directions. The experiments were performed for single-spark discharge using a resistor-capacitor (RC) circuit with titanium alloy (Ti-6Al-4V) as workpiece material and tungsten carbide as tool electrode. The experimental crater dimensions were measured by using a scanning electron microscope (SEM). The model is validated by comparing the predicted temperature distribution with the published results and also with experimental results. Results show that the trends predicted by the model are logical and match fairly well with the experimental trends.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6794-y
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    ABSTRACT: Manufacturing defects in flat surface products such as thin films, paper, foils, aluminum plates, steel slabs, fabrics, and glass sheets result in degradation of the visual quality of the product image. This leads to less satisfied customers, waste of material, and bad company reputation. This research presents a novel application of image visual quality measures such as the multiscale structural similarity index (MS-SSIM). A novel algorithm has been implemented for fast detection and location of defects in many flat surface products. Comparison of the proposed algorithm with the state-of-the-art approaches indicate promising results. A defect detection accuracy of 99.1 % has been achieved with 98.62 % precision, 97.7 % recall/sensitivity, and 100 % specificity. The discriminant power shows how well the MS-SSIM discriminates very effectively between normal and abnormal surfaces. The MS-SSIM has resulted in much better performance than the single-scale SSI approach but at the cost of relatively lower processing speed. The major advantages of the presented approach are as follows: scale invariance, avoiding the problem of parameter selection in the case of the state-of-the-art Gabor filter banks based approach, the higher detection accuracy, and the quasi real-time processing speed.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-014-6758-7
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    ABSTRACT: Thermally induced errors and load-induced errors are two key factors affecting the accuracy of machine tools. This paper proposes a strategy to build an error map of a machine tool by considering both thermal and load effects. A moderation model is developed to analyze the positioning errors with thermal effects, and a Fourier series model is used to fit the straightness errors. Based on actual cutting tests, relationships between cutting forces and motor currents are established. A load test is conducted in which a pushing cylinder is used to simulate actual cutting forces. The changes in error motions under different loads are obtained. An experimental verification is conducted on an NC lathe, whose error map is generated by integrating thermal and load effects. As actual cutting results show, when thermal and load effects are simultaneously compensated, the machining accuracy increases by 10 % as compared with when only thermal effects are compensated.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6852-5
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    ABSTRACT: It is a complex coupling of multi-physics field for the manufacture of forged components under the condition of adhesive friction, which has been studied in this paper. A program of experimental work directed by upsetting method has been carried out to determine rheological behavior and friction performance for a range of press amounts from original specimen to half in height in the state of adhesive friction. Based on the transient displacement obtained by upsetting, simple mathematics methods were applied for the analysis of rheological behavior and the measurement of friction factor. Deformed flow stress, strain hardening behavior, and frictional shear stress were quantitatively identified inversely by combining the results of ring and cylinder upsetting; meanwhile, material stress-strain curves without the influence of friction were elaborated by using the extrapolation method. Furthermore, the characteristics of inverse flow behavior under the condition of adhesive friction and the vanishing time of adhesive friction were determined by means of investigating the orientation of velocity field. Finally, a new theory of bi-directionality theory relevant to metal deformed flow was proposed to illustrate and predict rheological behavior of forged components.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6804-0
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    ABSTRACT: Taguchi’s approach to design of experiment was applied to determine the effect of some process parameters on the mechanical properties and microstructures of castings obtained by evaporative pattern casting process. Four process parameters with three levels were selected and used with Taguchi’s method to give nine experimental runs. Casting design system was employed to determine the gating parameters for each of the test castings in the study. The pattern material was polystyrene of density 2 g/cm3. The mechanical property tested where the ultimate tensile strength (UTS), percentage elongation and hardness value. It was observed that castings produced at pouring temperature of 650 °C had fine grains and the highest values of UTS and hardness values. There was a downward trend of these values as the pouring temperature increased from 650 to 700 °C and then to 750 °C. It was established that producing the Al alloy castings at pouring temperature close to 650 °C results in good mechanical properties and microstructures.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6856-1
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    ABSTRACT: For the machining parts, the protrusion feature on the slanting face (PF-SF) is the most common machining feature. However, the machining information of the PF-SF cannot be easily obtained so that it reduces the efficiency of the process planning. Therefore, this paper proposes an algorithm to map the PF-SF to its manufacturing feature volume (MFV) based on the geometric reasoning method and the backward growing method. Based on PF-SF’s forming process and its typology relations, the PF-SF is divided into two types: single-volume protrusion feature and multiple volumes protrusion feature. Then, the PF-SF’s faces are recognized based on the developed geometric reasoning method. In order to obtain the MFV better, the PF-SF is divided into two sub-types based on its neighboring faces’ topological relation: the closed neighboring face set and the open neighboring face set. At last, the MFVs are formed by combining the recognized PF-SF faces with its extension neighboring faces or the created virtual plane. Two machined parts with the PF-SF are chosen as the case study to demonstrate the effectiveness of the developed approach.
    International Journal of Advanced Manufacturing Technology 07/2015; 79(1-4). DOI:10.1007/s00170-015-6810-2