AccScience Publishing / IJOCTA / Volume 2 / Issue 2 / DOI: 10.11121/ijocta.01.2012.0047
OPTIMIZATION & APPLICATIONS

Some Studies on Forming Optimization with Genetic Algorithm

Ganesh M. KAKANDIKAR1 Vilas M.NANDEDKAR2
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1 Assistant Professor in Mechanical Engineering Department, Zeal Education Society’s Dnyanganga College of Engineering, Pune, Maharashtra, 413133 - India
2 Professor in Production Engineering Department, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, Maharashtra, 431606 - India.
IJOCTA 2012, 2(2), 105–112; https://doi.org/10.11121/ijocta.01.2012.0047
Received: 26 April 2011 | Published online: 1 June 2012
© 2012 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

.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 present 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 as a tool for the optimization: to optimize 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 with prior results.

Keywords
Sheet metal;Forming;Genetic algorithm;Optimization
Conflict of interest
The authors declare they have no competing interests.
References

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An International Journal of Optimization and Control: Theories & Applications, Electronic ISSN: 2146-5703 Print ISSN: 2146-0957, Published by AccScience Publishing