Some Studies on Forming Optimization with Genetic Algorithm

An International Journal of Optimization and Control: Theories & Applications

article

Ganesh Marotrao KAKANDIKAR¹  Vilas M. NANDEDKAR² 

[1] Mechanical Engineering Department, Zeal Education Society’s Dnyanganga College of Engineering;Production Engineering Department, Shri Guru Gobind Singhji Institute of Engineering and Technology

关键词: Sheet Metal;    Forming;    Genetic Algorithm;    Optimization.;   

DOI  :  10.11121/ijocta.01.2012.0047

学科分类：地球科学(综合)

来源: Balikesir University

【 摘 要 】

Forming 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.

【 授权许可】

CC BY