Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/5301
Title: Taguchi method and ANOVA: An approach for process parameters optimization ofhard machining while machining hardened steel
Authors: Gopalsamy, Bala Murugan
Mondal, Biswanath
Ghosh, Sukamal
Keywords: ANOVA
End milling
Hard machining
Regression analysis
Taguchi methods
Issue Date: Aug-2009
Publisher: CSIR
Abstract: In this paper, Taguchi method is applied to find optimum process parameters for end milling while hard machining of hardened steel. A L18 array, signal-to-noise ratio and analysis of variance (ANOVA) are applied to study performance characteristics of machining parameters (cutting speed, feed, depth of cut and width of cut) with consideration of surface finish and tool life.Chipping and adhesion are observed to be main causes of wear. Results obtained by Taguchi method match closely with ANOVA and cutting speed is most influencing parameter. Multiple regression equations are formulated for estimating predicted values of surface roughness and tool wear.
Description: 686-695
URI: http://hdl.handle.net/123456789/5301
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.68(08) [August 2009]

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