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Optimization of machining parameters for end milling of Inconel 718 super alloy using Taguchi based grey relational analysis

  • Lohithaksha Maiyar
    ,
  • R. Ramanujam
    ,
  • K. Venkatesan
    ,
  • J. Jerald
Research Output: Contribution to journal Article Peer-review

Open access

Abstract

This study investigated the parameter optimization of end milling operation for Inconel 718 super alloy with multi-response criteria based on the taguchi orthogonal array with the grey relational analysis. Nine experimental runs based on an L9 orthogonal array of Taguchi method were performed. Cutting speed, feed rate and depth of cut are optimized with considerations of multiple performance characteristics namely surface roughness and material removal rate. A grey relational grade obtained from the grey relational analysis is used to solve the end milling process with the multiple performance characteristics. Additionally, the analysis of variance (ANOVA) is also applied to identify the most significant factor. Finally, confirmation tests were performed to make a comparison between the experimental results and developed model. Experimental results have shown that machining performance in the end milling process can be improved effectively through this approach. © 2013 The Authors. Published by Elsevier Ltd.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 1276-1282

Journal (Volume, Issue Number)

Procedia Engineering (Volume 64)

Publication milestones

  • Published - 13/11/2013

Publication status

Published - 13/11/2013

ISSN

1877-7058

External Publication IDs

  • handle.net: 10547/624664
  • Scopus: 84891798587

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