Optimization of micro milling electrical discharge machining of Inconel 718 by Grey-Taguchi method

Mao Yong Lin, Chung Chen Tsao, Chun Yao Hsu, Ai Huei Chiou, Peng Cheng Huang, Yu Cheng Lin

Research output: Contribution to journalArticlepeer-review

64 Citations (Scopus)

Abstract

The optimization of micro milling electrical discharge machining (EDM) process parameters of Inconel 718 alloy to achieve multiple performance characteristics such as low electrode wear, high material removal rate and low working gap was investigated by the Grey-Taguchi method. The influences of peak current, pulse on-time, pulse off-time and spark gap on electrode wear (EW), material removal rate (MRR) and working gap (WG) in the micro milling electrical discharge machining of Inconel 718 were analyzed. The experimental results show that the electrode wear decreases from 5.6×10-9 to 5.2×10-9 mm3/min, the material removal rate increases from 0.47×10-8 to 1.68×10-8 mm 3/min, and the working gap decreases from 1.27 to 1.19 μm under optimal micro milling electrical discharge machining process parameters. Hence, it is clearly shown that multiple performance characteristics can be improved by using the Grey-Taguchi method.

Original languageEnglish
Pages (from-to)661-666
Number of pages6
JournalTransactions of Nonferrous Metals Society of China (English Edition)
Volume23
Issue number3
DOIs
Publication statusPublished - 2013 Mar 1

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Geotechnical Engineering and Engineering Geology
  • Metals and Alloys
  • Materials Chemistry

Fingerprint Dive into the research topics of 'Optimization of micro milling electrical discharge machining of Inconel 718 by Grey-Taguchi method'. Together they form a unique fingerprint.

Cite this