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 (Ra). 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.
International Journal of Manufacturing Technology and Management, 2011 Vol.24 No.1/2/3/4, pp.4 - 22
Available online: 04 May 2012 *Full-text access for editors Access for subscribers Purchase this article Comment on this article