文章基本信息

标题：Determination of Optimum Process Parameters during turning of AISI 304 Austenitic Stainless Steels using Taguchi method and ANOVA
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作者：M. Kaladhar ; K. Venkata Subbaiah ; Ch. Srinivasa Rao 等
期刊名称：International Journal of Lean Thinking
电子版ISSN：2146-0337
出版年度：2012
卷号：3
期号：1
页码：1-19
出版社：Konya Teknokent, Selcuk University
摘要：In order to produce any product with desired quality by machining, proper selection of process parameters is essential. This can be accomplished by Taguchi approach. The aim of the present work is to investigate the effects of process parameters on surface finish and material removal rate (MRR) to obtain the optimal setting of these process parameters. And the Analysis Of Variance (ANOVA) is also used to analyze the influence of cutting parameters during machining. In this work, AISI 304 austenitic stainless steel work pieces are turned on computer numerical controlled (CNC) lathe by using Physical Vapour Deposition (PVD) coated cermet insert (TiCN- TiN) of 0.4 and 0.8 mm nose radii. The results revealed that the feed and nose radius is the most significant process parameters on work piece surface roughness. However, the depth of cut and feed are the significant factors on MRR. Optimal range and optimal level of parameters are also predicted for responses.
关键词：PVD coated ceremet;Surface roughness;AISI 304 austenitic stainless; Taguchi approach;ANOVA