Some Studies on Forming Optimization with Genetic Algorithm | Zendy

Ganesh Kakandikar | Zendy; Vilas M. Nandedkar | Zendy

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Some Studies on Forming Optimization with Genetic Algorithm

Author(s) -

Ganesh Kakandikar,

Vilas M. Nandedkar

Publication year - 2012

Publication title -

an international journal of optimization and control theories and applications (ijocta)

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.287

H-Index - 6

eISSN - 2146-5703

pISSN - 2146-0957

DOI - 10.11121/ijocta.01.2012.0047

Subject(s) - blank , process (computing) , finite element method , mathematical optimization , genetic algorithm , computer science , algorithm , compression (physics) , selection (genetic algorithm) , meta optimization , software , optimization problem , mathematics , mechanical engineering , structural engineering , engineering , materials science , composite material , operating system , artificial intelligence , programming language

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.

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