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| Hybrid Optimization of Pin type fixture Configuration for Free Form Workpiece
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Source |
International Journal of Engineering (IJE) |
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Table of Contents |
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Volume: 2 Issue: 3 |
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Pages: 1-50 |
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Publication
Date: June 2008 |
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ISSN
(Online): 1985-2312 |
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Pages |
33 - 40 |
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Author(s) |
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Published
Date |
16-09-2008 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Optimization, Pin Fixture, Genetic Algorithm, Particle Swarm Optimization, Finite Element |
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| This paper presents an automatic mechanism using pin type fixture for holding a workpiece during machining process. The hybrid optimization algorithm is introduced to obtain the optimum configuration of pin type fixture. Combination between Genetic Algorithms (GAs) and Particle Swarm Optimization (PSO) algorithms is enable to determine optimum clamping respect to minimum workpiece deformation. Spherical type pin fixture with array arrangement in two opposite side comforms geometry of workpiece through with two supporting action. Deformation as efect of clamping force and friction slip are predicted by simulation of pin-workpiece clamping model and analyzed by Finite Element methods. Maximum deformation and slip condition are evaluated by building the parametric script of the model. Parameters of the model is assigned by the algorithm through iteration process. Satisfies clamping arrangement to minimize the deformation and prevent the slip is evaluated using GAs to arrange the pin configuration. PSO is further applied based on the result of GAs for obtaining global optimum of objective function. Result of the evaluation shown that the optimization using two algorithms could achieve the beter position and clamping configuration for variety of workpiece geometry modeled using CAD software |
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Afzeri, A.G.E. Sutjipto, A.K..M Nurul Amin, Riza Muhida, 2005, Pin type reconfigurable Clamping ability evaluation for Setup-Free Technology, ICOMMS, Kuala Lumpur. |
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| 2 |
J.H. Yeh, F.W. Liou, 1999,Contact condition modelling for machining fixture setup processes, Int. J. Mach. Tools Manuf. 39 787–803. |
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| 3 |
R.O. Mittal, P.H. Cohen, B.J. Gilmore, 1991, Dynamic modelling of the fixture–workpiece system, Robot. Comput.-Integr. Manuf. 8 (4) 204–217. |
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| 4 |
R.J. Menassa, W.R. DeVries, 1991, Optimization methods applied to selecting support positions in fixture design, ASME Journal of Engineering for Industry 113 412– 418. |
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| 5 |
N. Amaral, J.J. Rencis, Y. Rong, 2004, Development of a finite element analysis tool for fixture design integrity verification and optimisation, International Journal of Advanced Manufacturing Technology 21 411–419. |
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| 6 |
E.Y.T. Tan, A.S. Kumar, J.Y.H. Fuh, A.Y.C. Nee, 2004, Modeling, analysis and verification of optimal fixturing design, IEEE Transactions on Automation Science and Engineering 1 (2) 121–132. |
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| 7 |
Necmettin, K., 2006, Machining fixture locating and clamping position optimization using genetic algorithms, Computers in Industry 57 112–120. |
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| 8 |
A.S. Kumar, V. Subramaniam, K.C. Seow, 1999, Conceptual design of fixtures using genetic algorithms, International Journal of Advanced Manufacturing Technology 15, pp 79–84. |
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| 9 |
Y.G. Liao, 2003, A genetic algorithm-based fixture locating positions and clamping schemes optimization, Proceedings of the Institute of Mechanical Engineers. Part B, Journal of Engineering Manufacture 217, pp 1075–1083. |
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| 10 |
Shane P. Siebenaler, Shreyes N. Melkote, 2006, Prediction of workpiece deformation in a fixture system using the finite element method, International Journal of Machine Tools & Manufacture 4651–58. |
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| 11 |
A.Y.C. Nee, K. Whybrew, A. Senthil Kumar, 1995, Advanced Fixture Design for FMS, Springer, London. |
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Haiyan Deng, Shreyes N. Melkote, 2006, Determination of minimum clamping forces for dynamically stable fixturing ,International Journal of Machine Tools & Manufacture 46, 847–857 |
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Anand Raghu, Shreyes N. Melkote, 2004, Analysis of the effects of fixture clamping sequence on part location errors, International Journal of Machine Tools & Manufacture 44 373–382 |
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Ibrahim M. Deiab, Mohamed A. Elbestawi, 2005, Experimental determination of the friction coefficient on the workpiece-fixture contact surface in work holding applications International Journal of Machine Tools & Manufacture 45 705–712. |
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http://www.swarmintelligence.org/tutorials.ph p |
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Afzeri, A.G. E. Sutjipto, A.K.M. Nurul Amin, Riza Muhida, 2005, Determination of pin configuration for clamping fixture by means of solid model contact analysis, Proceedings of the International Conference on Mechanical Engineering (ICME), Dhaka, Bangladesh. |
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A. Mustafa , A. H. A. Hashim , O. Khalifa and S. A. Hamed, “Adaptive Emotional Personality Model based on Fuzzy Logic Interpretation of Five Factor Theory”, Signal Processing: An International Journal (SPIJ), 2(4), pp. 1 – 9, August 2008. |
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| Afzeri : Colleagues
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| Nukhaie Ibrahim : Colleagues
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