Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA

Balamurugan, R and Biswanath, Mondal and Sukamal, Ghosh (2009) Optimisation of machining parameters for hard machining: grey relational theory approach and ANOVA. International Journal of Advanced Manufacturing Technology, 45 (11-12). pp. 1068-1086. ISSN 1068-1086

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Abstract

The present paper deals with experimental investigations carried out for machinability study of hardened steel and to obtain optimum process parameters by grey relational analysis. An orthogonal array, grey relations, grey relational coefficients and analysis of variance (ANOVA) are applied to study the performance characteristics of machining process parameters such as cutting speed, feed, depth of cut and width of cut with consideration of multiple responses, i.e. volume of material removed, surface finish, tool wear and tool life. Tool wear patterns are measured using optical microscope and analysed using scanning electron microscope and X-ray diffraction technique. Chipping and adhesion are main causes of wear. The optimum process parameters are calculated for rough machining and finish machining using grey theory and results are compared with ANOVA.

Item Type: Article
Uncontrolled Keywords: Grey relational analysis,Hard machining,End milling
Subjects: CHEMISTRY AND MATERIALS > Composite Materials
Depositing User: Users 10 not found.
Date Deposited: 21 Dec 2010 05:45
Last Modified: 09 Jun 2011 05:30
URI: http://nal-ir.nal.res.in/id/eprint/9124

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