Multiple Response Optimizations in Milling Using Taguchi and Grey Relational Analysis

Malghan, Rashmi L and Rao, Karthik M C and Kumar, Arun S and Rao, Srikantha S and D'souza, R J (2015) Multiple Response Optimizations in Milling Using Taguchi and Grey Relational Analysis. International Journal of Applied Engineering Research, 10 (11). pp. 10609-10613. ISSN 0973-4562

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Abstract

This article focuses on multiple response optimization of milling process for composite AISI H11. The study provided to minimize the damage events occurring during milling process for composite material. A statistical approach used to analyze experiment data. Taguchi method with grey relational analysis was used to optimize the machining parameters with multiple performance characteristics in milling of AISI H11.A grey relational grade obtained from the grey relational analysis is used to optimize the process parameters. Optimal process parameters can then be determined by the Taguchi method using the grey relational grade as the performance index. The chosen process parameters for CNC milling operation are speed, feed, doc, and the responses are power and surface roughness. The Experimental results show that parameter depth of cut (Doc) following with speed has the most significant effect on the multiple performance characteristics

Item Type: Article
Uncontrolled Keywords: Optimization, Grey relational analysis, Power, Surface Roughness, Process Parameters
Subjects: Engineering > MIT Manipal > Mechatronics
Depositing User: MIT Library
Date Deposited: 18 Jul 2017 08:33
Last Modified: 18 Jul 2017 08:33
URI: http://eprints.manipal.edu/id/eprint/149388

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