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Multi-Objective Optimization of EDM Process Parameters using Taguchi Method, Principal Component Analysis and Grey Relational Analysis

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  • U. Shrinivas Balraj

    (Department of Mechanical Engineering, Kakatiya Institute of Technology and Science, Warangal, India)

  • A. Gopala Krishna

    (Department of Mechanical Engineering, JNTU College of Engineering, Kakinada, India)

Abstract

This paper investigates multi-objective optimization of electrical discharge machining process parameters using a new combination of Taguchi method and principal component analysis based grey relational analysis. In this study, three conflicting performance characteristics related to surface integrity such as surface roughness, white layer thickness and surface crack density are considered in electrical discharge machining of RENE80 nickel super alloy. The process parameters considered are peak current, pulse on time and pulse off time. The experiments are conducted based on Taguchi method and these experimental results are used in grey relational analysis and weights of the corresponding performance characteristics are determined by principal component analysis. The weighted grey relational grade is used as a performance index to determine optimum process parameters and results of the confirmation experiments indicate that the combined approach is effective in determining optimum process parameters.

Suggested Citation

  • U. Shrinivas Balraj & A. Gopala Krishna, 2014. "Multi-Objective Optimization of EDM Process Parameters using Taguchi Method, Principal Component Analysis and Grey Relational Analysis," International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), IGI Global, vol. 4(2), pages 29-46, April.
    • Handle: RePEc:igg:jmmme0:v:4:y:2014:i:2:p:29-46
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