A Comparison between different Optimization Techniques for CNC End Milling Process

Anish Nair, P. Govindan, H. Ganesan

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Different kind of statistical optimization techniques are available for optimizing the different parameters of a CNC end milling process. In this paper a comparison is done between five different techniques such as principal components analysis, utility theory, Grey relational analysis, technique of order preference by similarity to ideal solution and their hybrid variants. The Taguchi optimization principle is common to all the methods which are presented in the paper. The experiments were carried out and the different response features such as surface roughness (Ra, Rz and Rq) and material removal rate (MRR) were measured and the different optimization techniques were applied. Three different surface roughness values are used for the analysis and they act as indices of surface quality whereas MRR acts as index of productivity. Hence the optimization is carried out such that the resulting optimized parameters will lead to a compromise between the productivity and the surface quality. The aim of the work is to carry out multi objective optimization on a single process and compare the results. (C) 2014 Published by Elsevier Ltd.
Original languageEnglish
JournalProcedia Engineering
Pages (from-to)36-46
Publication statusPublished - 2014
Externally publishedYes
Event12th Global Congress on Manufacturing and Management - Vellore, India
Duration: 8 Dec 201410 Dec 2014


Conference12th Global Congress on Manufacturing and Management

Bibliographical note

1877-7058 © 2014 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).


  • Principal Components Analysis
  • Utility Theory

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