Design of Experiments for optimization of Cutting Parameters for Turning of AA7075aluminium alloy

Authors

  • Fatema Nagarwala Department of Mechanical Engineering, MITCOE, Pune India Author
  • Pranav Mankikar Department of Mechanical Engineering, MITCOE, Pune India Author
  • V.S.Kanthale Department of Mechanical Engineering, MITCOE, Pune India Author

Keywords:

Taguchi method, ANOVA, Regression analysis, factors.

Abstract

The manufacturing cost can be minimized by reducing the machining cost through optimization of machining environment by optimizing the machining parameters like cutting speed, feed and depth of cut, etc. The production cost can be reduced by reducing the lead time and proper selection of machine tools, cutting tools material, tool geometry andcutting parameters. They govern the economics of machining operations. Thus, attempts have been made to carry out experimental investigation using Taguchi method and regression analysis mainly to find and correlate the technological factors to the economics of machining process.The Taguchi method is systematic application of design and analysis for experiments. It is an effective approach to produce high quality products at relatively low cost. Therefore Taguchi method is used to investigate the multiple performance characteristic in the turning operation.Regression analysis gives a quantitative measure of effect of each factor on the response, ie. the surface roughness of the work piece. This document gives a brief introduction on design of experiments and the various types of methods used for the same. For this study, turning parameters for AA7075aluminium are taken into consideration. 27 experiments were carried out on a CNC lathe and using Taguchi’s L27 array.

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Published

2017-03-16

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Section

Articles

How to Cite

Design of Experiments for optimization of Cutting Parameters for Turning of AA7075aluminium alloy. (2017). International Journal of Current Engineering and Technology, 1(7.Special Issue), 27-31. https://ijcet.evegenis.org/index.php/ijcet/article/view/4411