文章基本信息

标题：Multi-objective optimization of cutting parameters in turning using grey relational analysis
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作者：Gupta, M. ; Gupta, M. ; Kumar, S. 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：2013
卷号：4
期号：4
页码：547-558
DOI：10.5267/j.ijiec.2013.06.001
语种：English
出版社：Growing Science Publishing Company
摘要：This study presents optimization of performance characteristics in unidirectional glass fiber reinforced plastic composites using Taguchi method and Grey relational analysis. Performance characteristics such as surface roughness and material removal rate are optimized during rough cutting operation. Process parameters including tool nose radius, tool rake angle, feed rate, cutting speed, cutting environment and depth of cut are investigated using mixed L18 orthogonal array. Grey relation analysis is used to optimize the parameters and Principal Component Analysis is used to find the relative significance of performance characteristics. Depth of cut is the factor, which has great influence on surface roughness and material removal rate, followed by feed rate. The percentage contribution of depth of cut is 54.399% and feed rate is 5.355%.
关键词：Grey relational analysis; Optimization; Polycrystalline diamond cutting tool; Taguchi method; UD-GFRP