Title: Investigation of surface integrity during wet turning of hard alloy steel

Authors: Suha K. Shihab; Zahid A. Khan; Aas Mohammad; Arshad Noor Siddiquee

Addresses: Department of Mechanical Engineering, Jamia Millia Islamia (A Central University), New Delhi – 110025, India ' Department of Mechanical Engineering, Jamia Millia Islamia (A Central University), New Delhi – 110025, India ' Department of Mechanical Engineering, Jamia Millia Islamia (A Central University), New Delhi – 110025, India ' Department of Mechanical Engineering, Jamia Millia Islamia (A Central University), New Delhi – 110025, India

Abstract: This paper presents a study that investigates the effect of the CNC hard turning parameters on the surface integrity (SI), defined in terms of surface roughness average (Ra) and the micro-hardness MH, of hard steel (AISI 52100) under wet cutting conditions. Nine experimental runs based on an orthogonal array of Taguchi method are performed and grey relational analysis method is subsequently applied to determine an optimal cutting parameter setting. The SI parameters, i.e., surface roughness average and micro-hardness are selected as the quality targets. An optimal parameter combination of the turning operation is obtained using grey relational analysis. By analysing the grey relational grade matrix, the degree of influence for each controllable process factor onto individual quality targets can be found. The feed rate is identified to have the most influence on the roughness average and also on the micro-hardness. Further, the analysis of variance (ANOVA) is also applied to identify the most significant factor; the feed rate is the most significant controlled factors for affecting the SI in the turning operations according to the weighted sum grade of the surface roughness average and micro-hardness.

Keywords: hard turning; hard steel; grey relational analysis; GRA; analysis of variance; ANOVA; optimisation; surface integrity; wet turning; hard alloy steel; CNC turning; surface roughness; microhardness; surface quality; Taguchi methods; feed rate.

DOI: 10.1504/IJMMM.2014.063919

International Journal of Machining and Machinability of Materials, 2014 Vol.16 No.1, pp.22 - 37

Available online: 25 Jul 2014 *

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