Some Studies on Forming Optimization with Genetic Algorithm
Keywords:Sheet Metal, Forming, Genetic Algorithm, Optimization.
AbstractForming is a compression-tension process involving wide spectrum of operations and flow conditions. The result of the process depends on the large number of parameters and their interdependence. The selection of various parameters is still based on trial and error methods. In this paper the authors presents a new approach to optimize the geometry parameters of circular components, process parameters such as blank holder pressure and coefficient of friction etc. The optimization problem has been formulated with the objective of optimizing the maximum forming load required in Forming. Genetic algorithm is used for the optimization purpose to minimize the drawing load and to optimize the process parameters. A finite element analysis simulation software Fast Form Advanced is used for the validations of the results after optimization.
Kyung K. Choi and Nam H. Kim, â€œDesign Optimization of Deep Drawing Processâ€ The Centre for Computer-Aided Design and Department of Mechanical Engineering College of Engineering, University of Iowa, 2-3.
Luisa Gama Caldas, Leslie K. Norford, (2002) â€œA Design Optimization Tool Based On A Genetic Algorithmâ€ Journal of Automation in Construction, Elsevier Publications,Vol. 11, 3-4, (2002).
Mustafa Yasar, Halil Ibrahim Demirci, Ibrahim Kadi (2006) â€œDetonation forming of aluminium cylindrical cups experimental and theoretical modellingâ€ Journal of Materials & Design, Elsevier Publications, 27, 397-404, (2006).
Mustafa Yasar, Zeki Korkmaz, Muammer Gavas â€œForming sheet metals by means of multi-point deep drawing methodâ€ Journal of Materials & Design, Elsevier Publications, 28, 2647-2650, (2007).
Erkan Onder, A. Erman Tekkaya â€œNumerical simulation of various cross sectional work pieces using conventional deep drawing and hydro forming technologiesâ€ Journal of Machine Tool & Manufacture, Elsevier Publications, 48, 532-535, (2008).
Wenfeng Zhang, Rajiv Shivpuri, â€œProbabilistic design of aluminum sheet drawing for reduced risk of wrinkling and fractureâ€ Reliability Engineering & System Safety, Elsevier Publications, (2008).
Kurt Lang, (Professor, University of Stuttgart) â€œHand Book of Metal Formingâ€ McGraw Hill Publications, pp 20.3 - 20.7, (1985).
Roger Pierce, â€œSheet Metal Formingâ€ Adam Hilgar, Bristol Philadelphia and New York, pp 5 - 15.
Goldberg, D. E., â€œGenetic Algorithm in Search, Optimization and Machine Learningâ€ Pearson Education Private Limited. India, pp 290-292, (2003).
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