Modelling of machining force components during turning of PEEK CF30 by TiN coated cutting tools using artificial intelligence

被引：3
|
作者：
Mata, Francisco [1 ]
Hanafi, Issam [2 ]
Beamud, Elena [1 ]
Khamlichi, Abdellatif [2 ]
Jabbouri, Abdallah [2 ]
机构：
[1] Polytechnic School of Almadén, University of Castilla-La Mancha, 13412 Almaden, Plaza Manuel Meca
[2] EMS2M, Faculty of Sciences at Tetouan, M'hannech, Tetouan
来源：
International Journal of Machining and Machinability of Materials | 2012年 / 11卷 / 03期
关键词：
Cutting force; Design of experiment; Feed force; Fuzzy logic; PEEK CF30; Radial force; TiN coated cutting tool; Turning;
D O I：
10.1504/IJMMM.2012.046885
中图分类号：
学科分类号：
摘要：
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. Copyright © 2012 Inderscience Enterprises Ltd.
引用
收藏
页码：263 / 279
页数：16
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