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Information Journal Paper

Title

PERFORM OPTIMAL DESIGN IN METAL FORGING USING GENETIC ALGORITHMS

Pages

  39-50

Keywords

Not Registered.

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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  • Cite

    APA: Copy

    PARVIZIAN, J., POURSINA, M., ANTONIO, C.A.C., & KHADEMYZADEH, H.. (2006). PERFORM OPTIMAL DESIGN IN METAL FORGING USING GENETIC ALGORITHMS. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), 16(4), 39-50. SID. https://sid.ir/paper/65901/en

    Vancouver: Copy

    PARVIZIAN J., POURSINA M., ANTONIO C.A.C., KHADEMYZADEH H.. PERFORM OPTIMAL DESIGN IN METAL FORGING USING GENETIC ALGORITHMS. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN)[Internet]. 2006;16(4):39-50. Available from: https://sid.ir/paper/65901/en

    IEEE: Copy

    J. PARVIZIAN, M. POURSINA, C.A.C. ANTONIO, and H. KHADEMYZADEH, “PERFORM OPTIMAL DESIGN IN METAL FORGING USING GENETIC ALGORITHMS,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION MANAGEMENT (IJIE) (INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE) (PERSIAN), vol. 16, no. 4, pp. 39–50, 2006, [Online]. Available: https://sid.ir/paper/65901/en

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