文章基本信息

标题：Multi-attribute decision making parametric optimization and modeling in hard turning using ceramic insert through grey relational analysis: A case study
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作者：Panda, A. ; Sahoo, A. ; Rout, R. 等
期刊名称：Decision Science Letters
印刷版ISSN：1929-5804
电子版ISSN：1929-5812
出版年度：2016
卷号：5
期号：4
页码：581-592
DOI：10.5267/j.dsl.2016.3.001
语种：English
出版社：Growing Science Publishing Company
摘要：Machining of hardened work materials with appropriate levels of process parameters is still a burning issue in manufacturing sectors and challenging. It is because of pressing demand of surface quality which adversely affected by evolution of tool wear. Therefore the present investigation is undertaken to make a decision on parametric optimization of multi-responses such as flank wear and surface roughness during machining hardened AISI 52100 steel (55±1) steel using mixed ceramic insert under dry environment through grey relational analysis combined with Taguchi approach. Also predicted mathematical models of 1st and 2nd order have been developed for responses and checked for its accuracy. Second order mathematical model presented higher R2 value and represents best fit of the model and adequate compared to first order model. Model indicates good correlations between the experimental and predicted results. The proposed grey-based Taguchi methodology has been proved to be efficient for solving multi-attribute decision making problem as a case study in hard machining environment.
关键词：Grey relational analysis;Taguchi;Hard turning;Flank wear;Surface roughness