Article: Multi-objective optimisation in the microturning of cobalt chromium with coated and uncoated tools using the grey relational analysis Journal: International Journal of Precision Technology (IJPTECH) 2015 Vol.5 No.1 pp.44 - 61 Abstract: In this work, the microturning of cobalt chromium has been carried out using coated and uncoated tungsten carbide inserts. The experiments were conducted as per the design of experiments (DoEs) approach using the L9 orthogonal array by varying the spindle speed (S), feed (F) and depth of cut (Dcut) at three levels. The output parameters considered are the material removal rate (MRR), surface roughness (Ra) and tool wear (TW). The significant parameters and their levels were identified using analysis of variance (ANOVA) and response graphs. It is observed that the significant microturning process parameters are found to be different for different tool/workpiece combinations, for achieving a higher MRR, lower Ra and low TW individually. Therefore, a multi-objective optimisation using the grey relational analysis was performed considering MRR, Ra and TW together and the optimum level of input parameters were identified to achieve high MRR, low Ra and low TW together. Inderscience Publishers - linking academia, business and industry through research

Title: Multi-objective optimisation in the microturning of cobalt chromium with coated and uncoated tools using the grey relational analysis

Authors: A. Gopikrishnan; M. Kanthababu; Nithin Tom Mathew; S. Gowri; R. Balasubramaniam

Addresses: Department of Manufacturing Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India ' Department of Manufacturing Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India ' Department of Manufacturing Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India ' Department of Manufacturing Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India ' Precision Engineering Division, Bhabha Atomic Research Centre, Trombay, Mumbai 400085, India

Abstract: In this work, the microturning of cobalt chromium has been carried out using coated and uncoated tungsten carbide inserts. The experiments were conducted as per the design of experiments (DoEs) approach using the L₉ orthogonal array by varying the spindle speed (S), feed (F) and depth of cut (D_cut) at three levels. The output parameters considered are the material removal rate (MRR), surface roughness (R_a) and tool wear (TW). The significant parameters and their levels were identified using analysis of variance (ANOVA) and response graphs. It is observed that the significant microturning process parameters are found to be different for different tool/workpiece combinations, for achieving a higher MRR, lower R_a and low TW individually. Therefore, a multi-objective optimisation using the grey relational analysis was performed considering MRR, R_a and TW together and the optimum level of input parameters were identified to achieve high MRR, low R_a and low TW together.

Keywords: microturning; cobalt chromium; coated tols; uncoated tools; MRR; material removal rate; surface roughness; surface quality; tool wear; multi-objective optimisation; grey relational analysis; GRA; micromachining; tungsten carbide inserts; design of experiments; DoE; orthogonal arrays; spindle speed; feed; depth of cut; ANOVA; tool coatings.

DOI: 10.1504/IJPTECH.2015.069977

International Journal of Precision Technology, 2015 Vol.5 No.1, pp.44 - 61

Received: 18 Jun 2014
Accepted: 12 May 2015
Published online: 18 Jun 2015 *

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Title: Multi-objective optimisation in the microturning of cobalt chromium with coated and uncoated tools using the grey relational analysis

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