文章基本信息

标题：Machining performance of aluminium matrix composite and use of WPCA based Taguchi technique for multiple response optimization
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作者：Das, D. ; Das, D. ; Mishra, P. 等
期刊名称：International Journal of Industrial Engineering Computations
印刷版ISSN：1923-2926
电子版ISSN：1923-2934
出版年度：2018
卷号：9
期号：4
页码：551-564
DOI：10.5267/j.ijiec.2017.10.001
语种：English
出版社：Growing Science Publishing Company
摘要：Silicon carbide (SiC) particulate impregnated Al 7075 matrix composite was fabricated by stir casting method and then heat treated to T6 condition. It was then machined with multiple layer of TiN coated tungsten carbide (WC) inserts in dry environment and pollution free Spray Impingement Cooling (SIC) environment to compare the machining performance. SIC environment presented better machining performance with respect to cutting tool temperature (T), average roughness of the machined surface (Ra) and tool flank wear (VBc). Quadratic response surface models were developed by computing the experimental data. Weighted Principal Component Analysis (WPCA) based Taguchi technique was adopted to optimize the multiple responses simultaneously, which resulted 40 m/min of cutting speed (V), 0.05 mm/rev of feed (f) and 0.2 mm of cutting depth (d) was the optimal combination of process parameters.
关键词：Aluminium matrix composite; Turning; Weighted principal component analysis; Taguchi