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Empirical modeling and optimization of wire electrical discharge machining

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Abstract

Wire electrical discharge machining is a widely used process in manufacturing industries to machine complex profiles. The performance of any machining process is based on choosing the right combination of input parameters. Metal removal rate and surface roughness are the most important output parameters, which decide the performance of a machining process. The selection of optimal parameters in wire electrical discharge machining is difficult as it is a complex process and involves a large number of variables. The present work models the metal removal rate and the surface roughness in terms of the input variables using the response surface methodology and, consequently, the developed mathematical models are utilized for optimization. Since the influences of machining parameters on the metal removal rate and the surface roughness are opposite, the problem is formulated as a multiobjective optimization problem. Non-dominated sorting genetic algorithm is then applied to obtain the Pareto-optimal set of solutions.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Regency Institute of Technology, Yanam, 533 464, UT of Puducherry, India

    D. V. S. S. S. V. Prasad

  2. Department of Mechanical Engineering, College of Engineering, Jawaharlal Nehru Technological University Kakinada, Kakinada, 533 003, Andhra Pradesh, India

    A. Gopala Krishna

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  1. D. V. S. S. S. V. Prasad
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  2. A. Gopala Krishna
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Correspondence to A. Gopala Krishna.

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Prasad, D.V.S.S.S.V., Gopala Krishna, A. Empirical modeling and optimization of wire electrical discharge machining. Int J Adv Manuf Technol 43, 914–925 (2009). https://doi.org/10.1007/s00170-008-1769-x

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  • DOI: https://doi.org/10.1007/s00170-008-1769-x

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