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Paper Information

Journal:   INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)   Winter 2006 , Volume 16 , Number 4; Page(s) 39 To 50.
 
Paper: 

PERFORM OPTIMAL DESIGN IN METAL FORGING USING GENETIC ALGORITHMS

 
 
Author(s):  PARVIZIAN J., POURSINA M., ANTONIO C.A.C., KHADEMYZADEH H.
 
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Abstract: 

A numerical method for shape optimisation in forging is presented. The goal of the optimisation is to eliminate work-piece defects that may arise during the forging process. A two dimensional finite element code has been developed for the simulation of the mechanical process. The material is incompressible and it follows the Norton-Hoff law. To deal with contact constraint the velocity projection algorithm is used. The optimisation method considers a genetic algorithm supported by an elitist strategy. A new genetic operator called adaptive mutation has been developed in order to increase the efficiency of the search. The developed scheme is used to design optimal pre-form shapes for several axisymmetric examples. Comparing the obtained optimal results with the literature validates the proposed optimisation method.
Continuous and discrete design variables are considered.

 
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