International Journal of Advanced Manufacturing Technology (INT J ADV MANUF TECH )

Publisher: Springer Verlag

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.

  • Impact factor
    1.78
    Hide impact factor history
     
    Impact factor
  • 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: The paper deals with the determination of vibration emission frequency depending on the impact of abrasive particles during cutting of materials. In order to verify the investigated hypothesis, the factor of the abrasive mass flow rate ma = 250 and 400 g min−1 at the traverse speed of cutting head v = 50, 75, 100 and 150 mm min−1 was determined. The Barton Garnet with MESH 80 and focusing tube with diameter of 0.8 and 1.4 mm were used in the experiment. Vibrations were recorded during experimental cutting by sensors PCB IMI type 607A11 placed on the stainless steel AISI 309. During the experimental sample cutting, vibrations were monitored and consequently processed by the LabVIEW 8.5 software. Research results are useful for improving the quality of surface created by abrasive water jet, and they can encourage the on-line process control of abrasive water jet cutting with the minimum human intervention in case of a fault or error during the supply of abrasives to cutting head.
    International Journal of Advanced Manufacturing Technology 01/2015;
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    ABSTRACT: To develop an effective nondestructive evaluation method for the welding quality of the resistance spot welding, the electrode displacement signal during the resistance spot welding process is monitored, and the acquisition data of the signal are innovatively presented as the radar chart format. Some geometric features of the radar charts are extracted to reflect the welding quality. The decision tree classification technique is adopted to build a classifier and to provide a visible and intuitive diagnostic procedure for welding quality assessment. Test results of the decision tree classifier show that it is feasible and reliable to evaluate weld quality based on the graphics features of the radar chart. The features and the weld quality are closely related, and their extraction avoids complex algorithm. Meanwhile, when there are small samples, the decision tree classifier can identify good or bad weld accurately and rapidly, even though the weld is from an abnormal welding process, such as expulsion, current shunting, greasy surface, and small edge distance condition.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: The electromagnetic sheet forming process for aluminum alloy sheets was studied experimentally and numerically with a rectangular helical coil actuator. The widely used planar spiral coils are associated with a low magnetic pressure at their center that imposes limitations on the shapes of sheet products. In order to generate a relatively uniform magnetic pressure, a rectangular helical coil is introduced with parallel wires covering the working area uniformly. Two approaches were used for the analysis. In the analytical modeling approach, the analytical expression for the magnetic pressure was obtained, assuming that the wires are equivalent to a current sheet. In the numerical modeling approach, a loosely coupled scheme was introduced to solve the electromagnetic and mechanical problems. The Maxwell equations were first solved for estimation of the magnetic pressure exerted on the workpiece ignoring any workpiece deformations. The magnetic pressure variation was then used as a boundary condition in the mechanical calculation for estimation of the deformation of the workpiece. For validation of the developed numerical model, a rectangular helical coil actuator was designed and tested to form a half ellipsoid with aluminum alloy sheets. The measured and predicted shapes of the half ellipsoid were compared. The effects of the coil design parameters for increasing the magnetic pressure are also discussed.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: This research considers an open shop scheduling problem with preventive maintenance. A specific level of reliability is assumed and a mathematical model is presented to schedule both production and maintenance tasks, simultaneously. Three different and conflicting objective functions containing machine availability, make-span, and total tardiness and earliness have been optimized in the proposed model. When there are more than two machines in the open shop problem, it is classified in the category of NP-hard problems. Consequently, classical approaches cannot reach to an optimal solution in a reasonable time. Thus, two well-known algorithms for multi-objective problems containing non-dominated sorting genetic algorithm-II (NSGA-II) and multi-objective particle swarm optimization (MOPSO) are developed to find the best near-optimal solutions. The surface response methodology (RSM) is applied to tune parameters of the developed algorithms. Then, the reliabilities of the presented algorithms are illustrated based on three evaluation metrics comprising the number of Pareto solutions, spacing, and diversity. Furthermore, the superiority of the proposed algorithms is shown through benchmarking approach. The algorithms may be used in other open shop problems because they are able to find the best and reliable near-optimal solutions in a reasonable processing time.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: This study introduces a novel cross-generation automation transportation system (ATS) model to implement production manufacturing systems in the thin-film-transistor liquid-crystal-display (TFT-LCD) industry. The proposed cross-generation ATS model describes the construction of each generation system to implement production requirements and follow a fixed cycle. The extent to which automation associated with technological upgrading can led to the full implementation of automated production has become increasingly important in production manufacturing strategy. Implementation of ATS has evolved from an early traditional thinking model to a human-oriented production process, i.e., a fully automated system that integrates planning with thinking. Therefore, this study focuses on cross-generational data collected from company operations to examine the feasibility of implementing cross-generation ATS in the production manufacturing system patterns of the conventionally used thinking model.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: Fused deposition modelling (FDM) is an additive manufacturing technique deployed to fabricate the functional components leading to shorter product development times with less human intervention. Typical characteristics such as surface roughness, mechanical strength and dimensional accuracy are found to influence the wear strength of FDM fabricated components. It would be useful to determine an explicit numerical model to describe the correlation between various output process parameters and input parameters. In this paper, we have proposed an improved approach of multi-gene genetic programming (Im-MGGP) to formulate the functional relationship between wear strength and input process variables of the FDM process. It was found that the improved approach performs better than MGGP, SVR and ANN models and is able to generalise wear strength of the FDM prototype satisfactorily. Further, sensitivity and parametric analysis is conducted to study the influence of each input variable on the wear strength of the FDM fabricated components. It was found that the input parameter, air gap, has the maximum influence on the wear strength of the FDM fabricated component.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: Assembly modeling and simulation are two important activities in product development. The former makes an assembly model by specifying mating constraints between parts. The latter visually simulates the process of forming an assembly model through sequencing and finding paths of parts. In practice applications, the sequence of assembling parts in assembly modeling cannot be directly utilized to facilitate path finding and sequencing in assembly simulation, and specifying mating constraints in assembly modeling and finding/sequencing paths of parts in assembly simulation are usually accomplished manually, which are tedious and error-prone. One responsible reason is that when creating part models, designers know how they will interact with each other, but this information is not stored in part models. To alleviate the problems, this paper introduced the concept of assembly feature pair (AFP) and proposed a framework method to integrate assembly modeling and simulation. An AFP consists of form feature pairs on two parts together with assembly behaviors. Correspondingly, the mating constraints between parts and the information of assembly process can be captured to facilitate assembly modeling and assembly simulation. Based on AFP, the framework method can integrate assembly modeling and simulation from three aspects: (1) AFPs will be embedded into part models at part modeling stage, storing designers’ knowledge of how parts will interact with each other, (2) the laborious work of applying mating constraints between parts in assembly modeling will be replaced by instantiating the embedded AFP in part models, and the instantiation sequence of AFPs will be directly used in assembly simulation, and (3) the manual work of planning and sequencing paths of parts in assembly simulation will also be replaced by instantiating the embedded AFP in part models based on the randomized motion planning theory. To demonstrate the theoretical framework, an implementation sample was presented.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: Electrochemical micromachining (μECM) is a non-conventional machining process based on the phenomenon of electrolysis. μECM became an attractive area of research due to the fact that this process does not create any defective layer after machining and that there is a growing demand for better surface integrity on different micro applications including microfluidics systems, stress-free drilled holes in automotive and aerospace manufacturing with complex shapes, etc. This work presents the design of a next generation μECM machine for the automotive, aerospace, medical and metrology sectors. It has three axes of motion (X, Y, Z) and a spindle allowing the tool-electrode to rotate during machining. The linear slides for each axis use air bearings with linear DC brushless motors and 2-nm resolution encoders for ultra precise motion. The control system is based on the Power PMAC motion controller from Delta Tau. The electrolyte tank is located at the rear of the machine and allows the electrolyte to be changed quickly. This machine features two process control algorithms: fuzzy logic control and adaptive feed rate. A self-developed pulse generator has been mounted and interfaced with the machine and a wire ECM grinding device has been added. The pulse generator has the possibility to reverse the pulse polarity for on-line tool fabrication.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: In micro-ultrasonic machining (MUSM), a major part of the material is removed by the impact of abrasive particles. In the early stage of machining, abrasive particles are distributed uniformly in the machining area. However, as the process goes on, abrasive particles will be driven out of the machining area owing to the ultrasonic vibration of the micro-tool or work-piece and the rotation of the micro-tool in the fluid. As a result, the machining precision and machining efficiency will be reduced. In this paper, we propose a new method called electrophoretically assisted micro-ultrasonic machining (EPAMUSM) in which an electric field is used to prevent the abrasive particles from being driven out of the machining area. Experiments on EPAMUSM are conducted using a self-developed micro-USM system with micro-tool vibration, in which the control system of the micro-USM machine tool controls the machining force in a constant range. First, experiments comparing micro-ultrasonic machining with and without electrophoretic assistance are conducted. It is found that, with the appropriate processing parameters, EPAMUSM can improve machining accuracy and machining efficiency. Then, experiments with an orthogonal design are performed to reveal the main effects of the process parameters (abrasive particle size, spindle speed, DC voltage, force, ultrasonic power, mass fraction, and feed rate) on the material removal rate, and the optimal processing parameters are derived from the results.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: Due to the effect of various factors, the product quality characteristics are sometimes non-normal distribution. In this paper, two most commonly used non-normal distributions, triangular distribution and trapezoidal distribution, are studied based on asymmetric quadratic quality loss. With asymmetric quality loss, it is necessary to optimize the process mean in order to reduce the expected quality losses. In order to optimize the process mean of the triangular distribution, the different distances between the target value and the process mean are considered, and two mathematical models are proposed to calculate the expected quality loss. Because the probability density function of the trapezoidal distribution is a three-segment function, in order to optimize the process mean of the trapezoidal distribution, three models are established. Solving the proposed models, analytical solutions for the optimal process mean are obtained, and equations for the minimum quality loss are established. Considering the sum of manufacturing cost and the minimum quality loss as the objective function, tolerance model is established to calculate the optimal tolerances. Therefore, the optimal process mean and optimal tolerances are obtained for triangular distribution and trapezoidal distribution. At last, an example is used to illustrate the validity of the established model.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: Cellular manufacturing is an important application of group technology and the cell formation process is one of the important steps in designing cellular manufacturing system. In recent years, researchers have noticed potential benefits when the layout problem is considered within the cell formation process. Nevertheless, there are not sufficient studies about consideration of real-life features in the cell formation and layout design process. In this paper, a new approach is presented to integrate the cell formation and its layout design. The proposed approach has three important design features not found in other papers. These design features are multi-row intra-cell layout (layout of machines within the cells), continuous inter-cell layout (layout of rectangular shape cells on the planar area), and aisle distance. The objective of the proposed approach is to form machine cells, find the layout of machine cells, and obtain the arrangement of machines within the cells such that the total material handling cost is minimized. In order to have a more accurate layout design, the material handling cost is calculated in terms of the actual position of machines within the cell. Due to the computational complexity of the proposed problem, a heuristic method is proposed to solve medium- and large-scale problems in a reasonable computational time. Three lower bounds are developed for the proposed integrated problem in which the tightest of them is chosen for evaluating the solution of the heuristic method. Finally, numerical examples adopted from the literature are solved to verify the performance of the proposed heuristic method and illustrate the advantages of the proposed integrated approach. The results indicated that the heuristic method is both effective and efficient in solving real-sized problems. The results also demonstrated that the proposed layout approach gives better layout design in comparison with the existing approaches.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: The forming performance of an as-quenched (W temper) novel aluminum-lithium alloy was investigated to realize a rapid and efficient forming through the route of “solution–forming after quenching–aging”. Tensile test was mainly adopted to obtain the true stress–strain curves, which were applied to calculate the strain hardening index (n value) and plastic strain ratio (r value). The results revealed that the investigated alloy displayed the satisfied forming properties in as-quenched condition. The Portevin-Le Chatelier (PLC) bands during the tensile deformation were observed within 60 min after quenching. Moreover, the n values were isotropic at different directions, decreasing rapidly with the extension of natural aging time. Meanwhile, the r values, rarely influenced by natural aging behavior, exhibited a significant anisotropy.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: This paper evaluates multivariate statistical calibration models for predicting final quality values from process variables. The use of a feature selection technique for multivariate calibration is also provided. Instead of using a full set of process variables, some process variables selected can be used. The objective of such feature selection schemes is to eliminate non-informative variables producing better prediction performance. In this work, genetic algorithm is used as an optimization tool. The performance of the proposed calibration model is demonstrated using real process data. The quality of the final products from the plant is not measured in a real-time basis. Due to the time delay related to measuring final quality values, reliable and timely prediction of the quality characteristics is quite important for safe and efficient operation. By adopting a feature selection scheme along with a filtering step, the prediction performance improved because of the exclusion of non-informative features. The nonlinear calibration models with feature selection and a preprocessing step were shown to produce better performance than those without these two steps. In addition, most of the calibration models considered here benefits from the use of a feature selection step in this case study.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: During the curing process of a composite shell, the temperature field of the composite is influenced by the temperature inside the stove, the heat transfer between the mold and the composite, and the heat released by the curing reaction of the resin matrix. In the case of thick-walled shells, the coefficient of heat conduction and the permeability of the composite along the thickness direction are significantly lower than the corresponding values in the plane. Together with the combined action of the mold and the environment, this effect makes the temperature distribution significantly complex. In this paper, a simulation of the curing process was performed by using the finite element method. The distribution and evolution of the temperature field and degree of cure field were simulated. In particular, we assessed the influence of three different mold materials, namely 45# steel, aluminum, and copper, on the temperature field and degree of cure field. The present research provides the theoretical basis and an analytical method for improving the molding efficiency and quality, as well as the design and optimization, of molds.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: Electrochemical micro-machining (μECM) requires a particular pulse power supply unit (PSU) to be developed in order to achieve desired machining performance. This paper summarises the development of a pulse PSU meeting the requirements of μECM. The pulse power supply provides tens of nanosecond pulse duration, positive and negative bias voltages and a polarity switching functionality. It fulfils the needs for tool preparation with reversed pulsed ECM on the machine. Moreover, the PSU is equipped with an ultrafast overcurrent protection which prevents the tool electrode from being damaged in case of short circuits. The developed pulse PSU was used to fabricate micro-tools out of 170 μm WC-Co alloy shafts via micro-electrochemical turning and drill deep holes via μECM in a disk made of 18NiCr6. The electrolyte used for both processes was a mixture of sulphuric acid and NaNO3 aqueous solutions.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: Nanostructure tungsten carbide powder has been successfully synthesized using electro discharge process, i.e., submerged tungsten and graphite electrodes in deionized water. The effects of discharge parameters, e.g., current and pulse duration of discharge process, on structure and morphology of synthesized powder were studied using XRD patterns and TEM images, respectively. Furthermore, the effect of discharge parameters on size distribution and shape of particles were investigated using PSA and SEM tests, respectively. Last but not least, the effect of input parameters on the rate of production was studied. On the other hand, mono-tungsten carbide (W2C) was carburized under argon atmosphere for production of WC phase. FE–SEM test concludes the evaluation process of nano-sized WC powder.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: This study is focused on the mechanical grinding of CVD diamond for better understanding of the effects of different parameters on the grinding process and optimising them using Taguchi method and grey relational analysis. Two types of CVD diamond, i.e. CDM and CDE, are used for the study. Taguchi orthogonal array is used to ease the experiments. Grain size of the wheel, feed rate and the grinding velocity is taken as the grinding parameters. Cutting edge radius and grinding force are selected as the quality targets. Grain size of the wheel (7 um), grinding velocity (19.625 m/s) and feed rate (0.2 um) are the optimum parameters obtained via grey relational analysis. Analysis of the variance (ANOVA) is also applied to evaluate the contribution of the each parameter in orthogonal experiment. The grain size of the wheel is the most significant parameter for the grinding operation according to the weighted sum grade of the cutting edge radius and the grinding force. The obtained results show that the Taguchi method and grey relational analysis are being effective technique to optimise the parameters for grinding CVD diamond.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: A three-dimensional and transient model with keyhole geometry-dependent heat source and arc pressure distribution is developed for plasma arc welding process. The influence of the keyhole evolution on heat flux and arc pressure distribution on the keyhole wall is taken into consideration. The dynamic variation of the temperature field and fluid flow in the weld pool as well as the keyhole shape and size are quantitatively analyzed. The experimentally observed phenomena, i.e., the backward curved keyhole channel and the very thin layer of molten metal at the front edge of weld pool, are first demonstrated with numerical simulation. The predicted establishment time of open keyhole, displacement of keyhole exit, and fusion line generally agree with the experimental ones.
    International Journal of Advanced Manufacturing Technology 12/2014;
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    ABSTRACT: In order to solve the problem of low measurement efficiency of volumetric errors and predict the volumetric errors of CNC machine tools online, a new volumetric error modeling method based on information fusion technology is proposed in this paper, which was used for the volumetric error prediction of a two turntable five-axis machine tool. In order to fulfill the volumetric error modeling, the displacement variables, temperature variables, and cutting force variables were determined firstly, then the determined variables and the volumetric errors were measured and analyzed, and a volumetric error model was presented based on the determined variables. In order to optimize the parameters of the presented model, grey correlation analysis method is used for the second time prediction of the volumetric errors. Finally, the performance of the model was tested by an experiment. The result shows that the approximation ability of the model is very well, and the residual error is smaller than 2 μm. Comparing with conditional modeling methods, this method can be used in different types of machine tools with different operating conditions by regulating the weight matrix, and the robustness of the fusion model is improved.
    International Journal of Advanced Manufacturing Technology 12/2014;