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Multi-response optimisation in ultrasonic machining of titanium using Taguchi's approach and utility concept

Multi-response optimisation in ultrasonic machining of titanium using Taguchi's approach and... In this investigation, the effect of several parameters such as abrasive material, slurry grit size, tool material and ultrasonic power rating on the machining performance of Ultrasonic Machining (USM) has been evaluated using pure titanium (ASTM Grade-I) as work material. The machining characteristics that are being investigated are Material Removal Rate (MRR), Tool Wear Rate (TWR) and roughness of the machined surface. The study makes use of experimentation planned and executed as per Taguchi's robust design methodology. The results obtained have been analysed by using Analysis Of Variance (ANOVA) and relative significance of various factors has been evaluated. The information thus obtained has been used to construct a macro-model for USM of titanium. Multi-response optimisation was performed using Taguchi's method in conjunction with utility concept for simultaneous optimisation of the machining characteristics. (Received 15 July 2008; Revised 18 March 2009; Accepted 22 August 2009) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Manufacturing Research Inderscience Publishers

Multi-response optimisation in ultrasonic machining of titanium using Taguchi's approach and utility concept

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1750-0591
eISSN
1750-0605
DOI
10.1504/IJMR.2010.031629
Publisher site
See Article on Publisher Site

Abstract

In this investigation, the effect of several parameters such as abrasive material, slurry grit size, tool material and ultrasonic power rating on the machining performance of Ultrasonic Machining (USM) has been evaluated using pure titanium (ASTM Grade-I) as work material. The machining characteristics that are being investigated are Material Removal Rate (MRR), Tool Wear Rate (TWR) and roughness of the machined surface. The study makes use of experimentation planned and executed as per Taguchi's robust design methodology. The results obtained have been analysed by using Analysis Of Variance (ANOVA) and relative significance of various factors has been evaluated. The information thus obtained has been used to construct a macro-model for USM of titanium. Multi-response optimisation was performed using Taguchi's method in conjunction with utility concept for simultaneous optimisation of the machining characteristics. (Received 15 July 2008; Revised 18 March 2009; Accepted 22 August 2009)

Journal

International Journal of Manufacturing ResearchInderscience Publishers

Published: Jan 1, 2010

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