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
    1.21
    Show 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
    • Authors own final version only can be archived
    • Publisher's version/PDF cannot be used
    • On author's website or institutional repository
    • On funders designated website/repository after 12 months at the funders request or as a result of legal obligation
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (The original publication is available at www.springerlink.com)
    • 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: For the purpose of generating 2D curve offsets used in 2.5D machining, four new methods based on morphological operations on different mathematical entities are presented in this paper. All of the methods, which lend themselves for parallel processing, exploit the idea that the boundaries formed by a circular structuring element whose center sweeps across the points on a generator/base curve comprise the entire offsets of the progenitor. The first approach, which is a carry-over from image processing, makes good use of morphological operations on binary images to produce 2D offsets via contour tracing algorithms. The second method, which is to rectify the high memory cost associated with the former technique, utilizes morphological operations on (boundary data) sets. The implementation of this basic technique is illustrated by two Matlab functions given in the paper. Despite its simplicity, the time complexity of this paradigm is found to be high. Consequently, the third method, which is evolved from the preceding one, reduces the time complexity significantly with the utilization of a geometric range search method. This technique, which has a considerable margin for improvement, is found to be suitable to be used as a part of the real-time motion command generator for CNC applications. Unlike the previous schemes, the final approach uses polygon operations to generate such curves. The run-time of this technique is highly governed by the complexity of the polygon overlay algorithm selected. The paper analyzes the complexity of each technique. Finally, the presented methods are evaluated (in terms of run-time and geometric accuracy) via two test cases where most CAD/CAM packages fail to yield acceptable results.
    International Journal of Advanced Manufacturing Technology 04/2014; 71(9-12).
  • [show abstract] [hide abstract]
    ABSTRACT: This paper presents a study of friction stir welding of aluminium and copper using experimental work and theoretical modelling. The 5083-H116 aluminium alloy and pure copper were successfully friction-stir-welded by offsetting the pin to the aluminium side and controlling the FSW parameters. A theoretical analysis is presented along with key findings. The process temperatures are predicted analytically using the inverse heat transfer method and correlated with experimental measurements. The temperature distribution in the immediate surroundings of the weld zone is investigated together with the microstructures and mechanical properties of the joint. This was supported by a finite element analysis using COMSOL Multiphysics. In this study, two rotational speeds were used and a range of offsets was applied to the pin. The microstructure analysis of the joints was undertaken. This revealed some particles of Cu inclusion in the nugget zone. The energy dispersive spectroscopy showed a higher diffusion rate of aluminium towards the interface while copper maintained a straight base line.
    International Journal of Advanced Manufacturing Technology 04/2014; 71(9-12).
  • [show abstract] [hide abstract]
    ABSTRACT: The nanofluid is usually applied in minimum quantity lubricant (MQL) grinding to decrease grinding temperature and to improve surface integrity of workpiece. However, a large challenge in the application process of nanofluid is the sedimentation of the nanoparticles due to their poor suspension stability in the base fluid. Then, the lubrication and heat conduction characteristics of nanofluid will be deteriorated, and the nanofluid cannot be atomized as expected during grinding. Therefore, the heat transfer performance of nanofluid during MQL grinding severely decreased. In this study, the force state of nanoparticle in base fluid was analyzed and the effect of dispersant on the force state of nanoparticle was researched. The suspension stability of Al2O3 (0.5 wt.%) nanofluid was investigated under different ultrasonic vibration times, pH values, and dispersant concentrations (sodium dodecyl benzene sulfonate, SDBS). It is found that the suspension stability of nanofluid is quite poor under short-time ultrasonic vibration condition, and the nanofluid with good suspension stability can be obtained when the ultrasonic vibration time exceeds 0.5 h. A higher concentration of SDBS will lead to a better suspension stability of nanofluid when the concentration of SDBS is quite low. However, if the concentration of SDBS exceeds 0.5 wt.%, there is oversaturated adsorption on the nanoparticles surface which results in the deterioration of suspension stability of nanofluid with the increase of the SDBS concentration. As pH value is below 7, the suspension stability of nanofluid is significantly improved with the increase of pH value. The sedimentation clearly appeared in the disperse system when pH value is higher than 7. The dispersion morphology of the Al2O3 nanoparticles in disperse system is analyzed by using a scanning electron microscope. It is found that some large aggregates appeared when no dispersant was applied in the disperse system, and the Al2O3 nanoparticles are uniformly dispersed in disperse system with the application of the dispersant.
    International Journal of Advanced Manufacturing Technology 04/2014; 71(9-12).
  • [show abstract] [hide abstract]
    ABSTRACT: Many companies intend to utilize the robotic systems to improve the performance of their manufacturing systems. Since the robotic systems are complex, it is required to determine the most suitable robot arm at the beginning of the complete design process. However, due to the increase in the number of robot arm alternatives and existence of the multiple and conflicting criteria, it has become hard to the decision makers to select the appropriate robot arm for a production system. Although the traditional multiple criteria of decision-making techniques were heavily employed in the past for this problem, they were based on subjective judgments for both the alternatives and the criteria. Therefore, a methodology based on Axiomatic Design principles is proposed to help the decision maker decide the most appropriate robot arm on a scientific, systematic, and objective basis. Moreover, the proposed methodology is extended into a decision support system (DSS) through MATLAB software, to evaluate more alternatives rapidly. Both the proposed methodology and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) were applied to solve a small problem, so that the techniques will be compared and the utility of the proposed approach will be revealed. Besides, the proposed DSS was applied to a real robot arm selection problem of a food manufacturing system to show its performance in evaluating several alternatives and choosing the most suitable one in an objective and quick manner.
    International Journal of Advanced Manufacturing Technology 04/2014; 71(9-12).
  • [show abstract] [hide abstract]
    ABSTRACT: Designing a high-performance solid carbide end mill is difficult due to the complex relationship between end mill geometry and numerous or conflicting design goals. Earlier approaches of computer-aided solid end mill design are limited to only a few design aspects. This article presents a three-dimensional finite element method of milling process for solid carbide end mill design and optimization. The software was secondarily developed based on UG platform, integrating the parametric design with the development of the two-dimension drawing of solid carbide end mill. The three-dimension finite element simulation for milling Ti-6Al-4V alloy was performed and the geometrical parameters were optimized based on the objective of low cutting force and cutting temperature. As a result, a simulation-based design and optimization of geometrical parameters of tool structure and cutting edge is possible. The optimized results, for the geometrical parameters of tool structure and cutting edge when milling titanium alloy using a 20-mm diameter solid carbide end mill, is a 12-mm diameter of inner circle, four flutes, a 45 ° helix angle, and a 9 ° rake angle of the side cutting edge.
    International Journal of Advanced Manufacturing Technology 04/2014; 71(9-12).
  • [show abstract] [hide abstract]
    ABSTRACT: Assembly line balancing plays a significant role in mass production systems due to production efficiency and productivity. A number of researchers have recently shown great interest in this topic, especially in the area of simple assembly line balancing problems (SALBP), and several academic papers have been published on this topic using different exact, heuristic, and metaheuristic methods. Recently, Rashid et al. (Int J Adv Manuf Technol 59:335–349, 2012) reviewed one decade (2000–2010) of published studies on assembly sequence planning and assembly line balancing optimization, those studies that applied soft computing approaches. The scope of the Rashid et al. review in the area of assembly line balancing problems was reported to be on SALBP. In this paper, we suggest that the review by Rashid et al. and the conclusion drawn regarding SALBP are inaccurate in some parts, and some revisions to Rashid et al. (Int J Adv Manuf Technol 59:335–349, 2012) are necessary. Accordingly, a revision to Rashid et al.’s review paper is proposed, and a guide to future research is presented. Moreover, to have up-to-date information, the review is extended to also include the published studies in the period of 2011–2013.
    International Journal of Advanced Manufacturing Technology 04/2014; 71(9-12).
  • [show abstract] [hide abstract]
    ABSTRACT: In the study of microforming meeting the needs of miniaturization of parts to be formed, the size effects are important parameters to be considered seriously. The objective of the investigation is to establish an explicit friction model in micro/mesoscale to calculate the coefficient of friction (COF) considering size effects, which is very helpful in analysis of microforming processes. With the open–closed pocket assumption, a scaling factor was adopted to describe the size effects on tribological behaviors in microforming. Based on the general Wanheim/Bay friction law, a relationship between the real contact area and the forming load was obtained considering the microscopical contact interface and the pressure induced by the trapped lubricant liquid. An explicit equation was developed including fraction of real contact area, scaling factor, and properties of lubricant. The effects of scaling factor and lubricant properties were discussed by analyzing its effects on the fraction of real contact area and coefficient of friction. With the developed model, the coefficient of friction was calculated and introduced into the finite element simulation of micro-upsetting deformation using ABAQUS software. When the scaling factor is less than 9, the size effect of friction becomes the main reason which affects the shape parameter in micro-upsetting deformation. Comparisons show that simulation results are in good agreement with that of experiments, which means that the developed model is suitable for analyzing size effects of friction in microforming.
    International Journal of Advanced Manufacturing Technology 04/2014; 71(9-12).
  • [show abstract] [hide abstract]
    ABSTRACT: The D-S evidence theory is a method widely used in information fusion technology, but it cannot solve the conflict evidence problem. This paper proposed a new method to dispose the conflict evidence problem in D-S evidence theory. The method first used evidence distance to obtain the weights of different evidences, then fuzzy inference theory was used to adjust the basic probability assignments (BPA) of every evidence according to the obtained weights, and the adjusted BPAs were fused by the D-S combine rules to obtain the fusion results in the end. The method was used in pulsed gas tungsten arc welding (GTAW) and fused the information obtained by arc, sound, and visual sensors in pulsed GTAW process. Experiment results showed that the method could effectively solve the conflict evidence problem, sufficiently fuse different sensors' information, and obtain more precise results than using a single sensor alone.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4).
  • [show abstract] [hide abstract]
    ABSTRACT: The purpose of this paper is to propose a compensation grinding method for large aspheric mirror surface. Because the tradition grinding is not suitable for large aspheric mirror surface, in this paper, a grate parallel grinding in 3-axis and an on-machine measurement system are applied. Based on that, it presents the errors that mainly affect the form accuracy and technology of compensation grinding. An experiment of compensation grinding was carried out for large aspheric mirror surface. With the separation of decentering, wheel arc, and residual grinding system error, the PV value further decreased comparing to tradition compensation. These results indicated that this compensation can improve the form accuracy significantly in large aspheric mirror surface grinding.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4).
  • [show abstract] [hide abstract]
    ABSTRACT: This article discusses the successful implementation of Six Sigma DMAIC (Define–Measure–Analyse– Improve–Control) methodology along with Beta correction technique in an automotive part manufacturing company. The implementation of Six Sigma approach resulted in reduction of process capability-related problems and improved the first pass yield from 94.86 % to 99.48 %. After studying the baseline performance of the process, a brainstorming session was conducted with all stakeholders of the process for identifying the potential causes of the problem. Data were collected on all the identified potential causes and various statistical analyses like regression analysis, hypothesis testing, and Taguchi methods were performed for identifying the root causes. Solutions were identified and implemented for the validated root causes, and results were observed. The Beta correction technique was introduced for monitoring the process in the control phase. Implementation of Six Sigma methodology with Beta correction technique had a significant financial impact on the profitability of the company. An approximate saving of US$87,000 per annum was reported, which is in addition to the customer-facing benefits of improved quality on returns and sales. This study contributes uniquely by elucidating the synergistic impact of Beta correction for greater effectiveness of Six Sigma programmes in the engineering industry.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4):717-730.
  • [show abstract] [hide abstract]
    ABSTRACT: The paper presents an overview of the state of the art in energy-efficient techniques in the domain of discrete part manufacturing, focusing on the techniques including energy assessment model for machining process and the energy efficiency analysis and evaluation for machine tools, important components, and machining systems. The main motivation is to review the existing works related to reduce energy consumption in machining processes, to discuss the challenges towards energy-efficient manufacturing, and identify the major barriers from both technologies and approaches.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(5-8).
  • [show abstract] [hide abstract]
    ABSTRACT: A 3D in-process model shows the intermediate shape of workpiece intuitively in different machining stages. Automatic generation of in-process models is one of the most important key technologies in 3D computer aided process planning (CAPP) system, which shortens modeling time and improves the accuracy of model expression. This paper describes implementation of an automatic generation of in-process models based on feature working steps (FWSs) and feature cutter volumes (FCVs). The principle is proposed to demonstrate the relationship between machining process information and in-process models. The expression and analysis of process route based on FWS is completed. And then two kinds of FCV constructions and instantiations are studied. One is parameterization for stable feature and the other is layering and reverse reconstruction for semi-stable feature. Two examples are presented to illustrate the approach.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4).
  • Simge Gencalp Irizalp, Nursen Saklakoglu, Bekir Sami Yilbas
    [show abstract] [hide abstract]
    ABSTRACT: High dislocation densities are formed in the irradiated region of the workpiece during the laser shock processing; in which case, surface hardening is resulted. The process involves with recoil pressure loading at the workpiece surface with the minimum heating effects in the irradiated region. This favors the process to be a good candidate for the surface treatment of metallic materials. Therefore, in the present study, laser shock processing of 6061-T6 aluminum alloy is carried out and the influence of a number of laser pulses and irradiated spot diameter on the treated layer characteristics, including morphology and hardness, are investigated. It is found that the number of laser pulses has significant influence on the resulting surface characteristics such as surface roughness, crystallite size, micro-strain, and microhardness of the alloy. In this case, surface roughness is deteriorated by increasing number of laser pulses and pulse intensity. In addition, fine crystallite structure takes place in the laser-treated region.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4).
  • [show abstract] [hide abstract]
    ABSTRACT: This paper presents results from a comparative study of machining of Ti6Al4V alloy under dry, minimal quality lubrication, and cryogenic cooling conditions using coated tools at varying cutting speeds and feed rates. The influence of the cooling conditions on surface integrity and the product performance was studied in terms of surface roughness, metallurgical conditions, including microstructure, hardness, grain refinement, and phase transformation of the machined product. Results show that cooling conditions affect surface integrity of the product signifying the benefits of cryogenic cooling in improving the overall product performance.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4).
  • [show abstract] [hide abstract]
    ABSTRACT: This research concentrates on integrated modeling of supply chain and information system through a unique integrated meta-heuristic computer simulation algorithm. It uses computer simulation and genetic algorithm in order to select suppliers and new facilities by reducing delivery time and final production cost. To reach these goals, this research has simulated an actual case study with simulation and in the other stages, has moved forward to improve and optimize the objectives by focusing on selection of suppliers. It also uses the collective information to reduce total cycle time and cost simultaneously. Moreover, a dynamic model is designed to determine the status of new facilities. The dynamic model is solved by genetic algorithm focusing on the time and cost reduction as the main objectives of the problem. Results show the effectiveness of the integrated algorithm. This is the first study that uses a hybrid meta-heuristic approach for integrated design of information system and supply chain.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(5-8).
  • [show abstract] [hide abstract]
    ABSTRACT: In the present paper, the microstructural and mechanical properties of metal–metal cold spray deposits are described. Different spray particles coatings (Al-, Ti-, Ni-based particles) deposited on different substrates (Al-, Ti-, Fe-, Ni-, Mg-based bulk materials) were produced and their mechanical and microstructural properties were characterized. Microhardness, porosity, grain size and adhesion strength of the coatings were analyzed as a function of processing parameters such as particle velocity, particle dimensions, gas density, substrate hardness, and temperature. The results were employed to build a database used to obtain a provisional model through a multi-objective optimization software. For each different substrate and particle type, the working points were defined in terms of processing parameters to optimize mechanical and microstructural behavior of coatings. The error calculation of the final properties of the deposits demonstrated the precision of the developed model.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4).
  • [show abstract] [hide abstract]
    ABSTRACT: Locating certain facilities in predetermined sites is named the multiple facility location problems (MFLP). The objective of these kinds of problems is locating facilities to serve a given set of customers so that candidate sites and requirements are known. When the new facility sites have to be selected from a given set of candidate sites, the mentioned location problem becomes a discrete multiple facility location problem (DMFLP). In this paper, a special approach of DMFLP is considered where different multiple facilities have to be placed (location decision) and also customers have to be assigned to these facilities (allocation or assignment). The mathematical model of the proposed problem is developed, and with respect to the complexity of solving the mathematical model, especially in large scale, a new hybrid approach is proposed based on tabu search algorithm to solve the problem at each scale. Computational results on several randomly generated problems in comparison with a new proposed lower bound obtained from Lagrangian relaxation indicate that the proposed hybrid approach is both accurate and efficient.
    International Journal of Advanced Manufacturing Technology 03/2014; 71(1-4).

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