Title: Modelling and statistical analysis of surface roughness by Taguchi and RSM techniques in hard turning of AISI 52100 steel with multilayer coated carbide insert

Authors: A.V. Pradeep; D. Lingaraju; S. Ramakrishna

Addresses: Department of Mechanical Engineering, JNTUK, Kakinada, AP, India; Department of Mechanical Engineering, Vignan's Institute of Engineering for Women, Visakhapatnam, AP, India ' Department of Mechanical Engineering, JNTUK, Kakinada, AP, India ' Department of Mechanical Engineering, Gayatri Vidhya Parishad College of Engineering, Madhurawada, Visakhapatnam, AP, India

Abstract: The statistical data of surface roughness (Ra, Rz) associated with the machining parameters (cutting speed, tool nose radius, depth of cut and feed) during turning of AISI 52100 steel using multilayer coated carbide inserts was experimentally modelled in this study. Analysis of variance (ANOVA) was employed to ascertain the significance of the cutting parameters whereas response surface methodology (RSM) depending on Taguchi design of experiments was employed to optimise the factors influencing surface roughness. The models established for approximation of Ra and Rz were 91.02% and 92.42% reliable. The most influencing parameter for Ra was tool nose radius followed by feed with contribution of 33.83% and 32.50% respectively, while the contribution of tool nose radius and feed rate for Rz was 39.21% and 33.46%. The optimum combination obtained through multi-response optimisation for minimum roughness was 70 m/min cutting speed, 0.05mm/rev feed, 0.1mm depth of cut and nose radius of 1.2 mm.

Keywords: response surface methodology; RSM; variance analysis; analysis of variance; ANOVA; AISI 52100; multilayer coated carbide; surface roughness.

DOI: 10.1504/IJMMM.2019.101488

International Journal of Machining and Machinability of Materials, 2019 Vol.21 No.4, pp.300 - 320

Received: 12 Mar 2018
Accepted: 27 Apr 2018
Published online: 11 Aug 2019 *

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