Title: An application of fuzzy logic with grey relational technique in grinding process using nano Al2O3 grinding wheel on Ti-6Al-4V alloy

Authors: Deborah Serenade Stephen; Prabhu Sethuramalingam

Addresses: Mechanical Engineering Department, SRM Institute of Science and Technology, TamilNadu, India ' Mechanical Engineering Department, SRM Institute of Science and Technology, TamilNadu, India

Abstract: This investigation is focused on studying grinding of titanium alloys (Ti-6Al-4V) by using nano Al2O3 grinding wheel as an alternative approach to existing methods of grinding. To evaluate optimum conditions of grinding process output, a full factorial technique has been used. L27 orthogonal array was chosen to arrive at an optimised permutation of grinding depth of cut, speed and feed. Consequently, the optimal combination of parameters was tested and results were compared with those of a conventional grinding wheel. The results show superior surface finish on Ti alloy when ground with nano Al2O3 grinding wheel. Confirmatory tests assured that a great improvement in grey relational grade with fuzzy logic, from 0.551 to 0.749 was observed, which substantiates the progress in the performance at best possible levels of nano grinding parameters. Improvement of 21.47% in surface finish of the ground material using combinations of fuzzy grey relational analysis have been achieved.

Keywords: abrasive grinding; material removal rate; MRR; nano Al2O3 grinding wheel; surface roughness; grey relational analysis; GRA; fuzzy logic analysis.

DOI: 10.1504/IJMMM.2021.112715

International Journal of Machining and Machinability of Materials, 2021 Vol.23 No.1, pp.21 - 46

Received: 14 Sep 2019
Accepted: 04 Mar 2020

Published online: 12 Jan 2021 *

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