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Title: Fuzzy logic expert system-based machinability analysis in end milling of aluminium nitride ceramic

Authors: M.M. Reddy; Sim Lih Shenq; Prabhu Sethuramalingam

Addresses: Department of Mechanical Engineering, Curtin University, Miri, CDT 250, Malaysia ' Department of Mechanical Engineering, Curtin University, Miri, CDT 250, Malaysia ' Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India

Abstract: Aluminium nitride (AlN) ceramic is an excellent material that can be used in many industries due to its mechanical and thermal properties. End milling is a suitable method used for manufacturing aluminium nitride workpieces. The main objective was to optimise the cutting speed, feed rate and depth of cut. The design of the cutting parameter combinations was done by Box-Behnken design, and the response surface methodology was used to optimise the cutting parameter combinations. Experiments showed that the cutting parameters had the greatest influence on the surface roughness, followed by the feed rate and depth of cut. This experiment also proved that tool wear has a negative effect on the surface roughness of the workpiece. Fuzzy logic expert system is used in modelling of end milling processes to predict the surface roughness on aluminium nitride ceramic.

Keywords: expert system; fuzzy logic analysis; aluminium nitride ceramic; surface roughness; end milling.

DOI: 10.1504/IJMMM.2022.122779

International Journal of Machining and Machinability of Materials, 2022 Vol.24 No.1/2, pp.92 - 109

Received: 06 Aug 2021
Accepted: 22 Oct 2021

Published online: 10 May 2022 *

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