Title: Optimisation of multiple performance characteristics in abrasive jet machining using grey relational analysis

Authors: Bharat Chandra Routara; B.K. Nanda; Ashok Kumar Sahoo; D.N. Thatoi; B.B. Nayak

Addresses: School of Mechanical Engineering, KIIT University, Bhubaneswar-751024, India. ' School of Mechanical Engineering, KIIT University, Bhubaneswar-751024, India. ' School of Mechanical Engineering, KIIT University, Bhubaneswar-751024, India. ' Department of Mechanical Engineering, ITER, S 'O' A University, Bhubaneswar-751030, India. ' Department of Mechanical Engineering, MIT, Bhubaneswar-752050, India

Abstract: This paper discusses the application of the Taguchi method to optimise the machining parameters for machining of glass work-pieces in abrasive jet machining (AJM) for individual responses such as material removal rate and surface roughness. Moreover, a multi-response performance characteristic was used for optimisation of process parameters with application of grey relational analysis. The machining parameters are selected as pressure, nozzle-tip-distance, abrasive grain size where as the response variables selected as material removal rate (MRR) and surface roughness (R_a). The results from confirmation runs indicated that the determined optimal combination of machining parameters improved the performance of the machining process.

Keywords: optimisation; material removal rate; MRR; analysis of variance; ANOVA; abrasive jet machining; AJM; grey relational analysis; Taguchi methods; surface roughness; surface quality; machining parameters.

DOI: 10.1504/IJMTM.2011.046757

International Journal of Manufacturing Technology and Management, 2011 Vol.24 No.1/2/3/4, pp.4 - 22

Published online: 27 Nov 2014 *

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