Title: Grey-fuzzy optimisation model for multi performance in CNC turning processes

Authors: Issam Hanafi; Abdellatif Khamlichi; Francisco Mata Cabrera; Demetrio Fuentes; Abdallah Jabbouri

Addresses: Modelling and Simulation of Mechanical systems Laboratory, Faculty of Sciences at Tetouan, BP. 2121 M'hannech, 93002 Tetouan, Morocco. ' Modelling and Simulation of Mechanical systems Laboratory, Faculty of Sciences at Tetouan, BP. 2121 M'hannech, 93002 Tetouan, Morocco. ' Polytechnic School of Almaden, 1 Plaza Manuel Meca, 13400 Almaden, Ciudad Real, Spain. ' Polytechnic School of Almaden, 1 Plaza Manuel Meca, 13400 Almaden, Ciudad Real, Spain. ' Materials and Mechanics of Structures Laboratory, Faculty of Sciences and Technology at Tangier, BP: 416, Tangier, Morocco

Abstract: The reinforced polyetheretherketone with 30% of carbon fibres (PEEK-CF30) reveals a particularly good combination of strength, rigidity, and hardness, which prove ideal for industrial applications. Considering these properties and potential areas of application, it is necessary to investigate and optimise the machining of PEEK-CF30. The Grey-fuzzy logic based on orthogonal array for optimising the machining process with multi-response has been reported. An orthogonal array and Grey-fuzzy reasoning grade are applied to study the multi performance characteristics of the machining process. The machining parameters (cutting speed, feed rate and depth of cut) with considerations of multiple responses (roughness surface and cutting force) are effective. The experimental results using the optimal setting easily clarified that the above-mentioned optimum procedure greatly improved the manufacturing process in this study.

Keywords: PEEK-CF30 machining; titanium nitride; TiN; coated tools; surface roughness; cutting force; optimisation; multi performance; grey relational analysis; GRA; fuzzy logic; surface quality; CNC turning; reinforced polyetheretherketone; carbon fibres; orthogonal arrays; cutting speed; feed rate; depth of cut.

DOI: 10.1504/IJCSYSE.2012.050234

International Journal of Computational Systems Engineering, 2012 Vol.1 No.2, pp.108 - 117

Published online: 28 Aug 2014 *

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