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Using Multi-Objective Optimization to Design Parameters in Electro-Discharge Machining by Wire

  • Alberto Ochoa
  • Lourdes Margain
  • Julio Arreola
  • Guadalupe Gutiérrez
  • Geovani García
  • Fernando Maldonado
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 290)

Abstract

The following paper describes the main objective to follow the methodology used and proposed to obtain the optimal values of WEDM process operation on the machine Robofil 310 by robust parameter design (RPD) of Dr. G. Taguichi [1], through controllable factors which result in more inferences regarding the problem to noise signal (S / N), which for this study is the variability of the hardness of samples from 6061, also studied the behavior of the output parameters as the material removal rate (MRR) and surface roughness (Ra), subsequently took the RPD orthogonal array and characterized the individuals in the population, each optimal value is a gene and each possible solution is a chromosome, used multi-objective optimization using Non-dominated Sorting Genetic Algorithm to cross and mutate this population to generate better results MRR and Ra.

Keywords

Multi-objective optimization Genetic Algorithms and Robust Design 

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References

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    Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A Fast and Elitist multi-objective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, IEEE-TEC (2002)Google Scholar
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    Kuehl, R.O.: Diseño de Experimentos: Principios Estadísticos de Diseño y análisis de investigación. International Thomson, México (2001)Google Scholar
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    Liao, Y.S., Huang, J.T., Su, H.C.: A study on the machining-parameters optimization of wire electrical discharge machining. Journal of Materials Processing Technology (1997)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Alberto Ochoa
    • 1
  • Lourdes Margain
    • 2
  • Julio Arreola
    • 1
  • Guadalupe Gutiérrez
    • 2
  • Geovani García
    • 1
  • Fernando Maldonado
    • 1
  1. 1.Juarez City UniversityJuarezMéxico
  2. 2.Universdad Politécnica de AguascalientesAguascalientesMéxico

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