Title: Modelling of machining force components during turning of PEEK CF30 by TiN coated cutting tools using artificial intelligence
Authors: Francisco Mata; Issam Hanafi; Elena Beamud; Abdellatif Khamlichi; Abdallah Jabbouri
Addresses: Polytechnic School of Almadén, University of Castilla-La Mancha, Plaza Manuel Meca, 1, 13412 Almaden, Spain. ' EMS2M, Faculty of Sciences at Tetouan, BP. 2121, M'hannech, Tetouan, Morocco. ' Polytechnic School of Almadén, University of Castilla-La Mancha, Plaza Manuel Meca, 1, 13412 Almaden, Spain. ' EMS2M, Faculty of Sciences at Tetouan, BP. 2121, M'hannech, Tetouan, Morocco. ' EMS2M, Faculty of Sciences at Tetouan, BP. 2121, M'hannech, Tetouan, Morocco
Abstract: Machined mechanical parts made from reinforced polyetheretherketone (PEEK) composite materials have become standard in many high-technology engineering fields. Considering their properties and potential areas of application it is necessary to investigate the machining of reinforced PEEK composite with 30% of carbon fibre (PEEK CF30). In this study, dry turning tests were carried out on PEEK CF 30 specimens using TiN coated cutting tool. An L27 orthogonal array was used for tests. A fuzzy rule-based model is developed to predict the machining force components in turning of carbon fibre-reinforced polymer (CFRP) composites. Good agreement is observed between the predictive model results and the experimental values. The fuzzy rule-based model can be used effectively for predicting the machining force components in turning CFRP composites.
Keywords: dry turning; radial force; cutting force; feed force; PEEK composites; TiN coatings; cutting tools; fuzzy logic; design of experiments; DOE; modelling; titanium nitride; reinforced polyetheretherketone; carbon fibre reinforced composites; orthogonal arrays; CFRP composites.
International Journal of Machining and Machinability of Materials, 2012 Vol.11 No.3, pp.263 - 279
Received: 08 Nov 2010
Accepted: 27 Jan 2011
Published online: 23 Aug 2014 *