Optimization of micro-EDM with multiple performance characteristics using taguchi method and grey relational analysis

N. Natarajan, R. M. Arunachalam

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36 Citations (Scopus)


This study presents optimization of multiple performance characteristics [material removal rate (MRR), tool wear rate (TWR), and overcut (OC)] in micro electrical discharge machining (micro-EDM) using Taguchi method and Grey relational analysis. Machining process parameters selected were pulse-on time, discharge current, and gap voltage. Based on ANOVA, pulse-on time is found the most significant factor, which affects micro-EDM process. Optimized process parameters simultaneously leading to a higher MRR, lower TWR, and lower OC are then verified through a confirmation experiment. Validation experiment shows an improved MRR (12.88%), TWR (14.57%) and OC (6.1%) when Taguchi method and grey relational analysis were used.

Original languageEnglish
Pages (from-to)500-505
Number of pages6
JournalJournal of Scientific and Industrial Research
Issue number7
Publication statusPublished - Jul 2011



  • Grey relational analysis
  • Micro-EDM
  • Multiple performance characteristics
  • Taguchi method

ASJC Scopus subject areas

  • General

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