文章基本信息

标题：Application of Taguchi and regression analysis on surface roughness in machining hardened AISI D2 steel
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作者：Sahoo, A. ; Sahoo, A.
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：2014
卷号：5
期号：2
页码：295-304
DOI：10.5267/j.ijiec.2013.11.001
语种：English
出版社：Growing Science Publishing Company
摘要：The objective of the study is to assess the performance of multilayer coated carbide insert in the machining of hardened AISI D2 steel (53 HRC) using Taguchi design of experiment. The experiment was designed based on Taguchi L27 orthogonal array to predict surface roughness. The S/N ratio and optimum parametric condition are analysed. The analysis of variance has also been carried out to predict the significant factors affecting surface roughness. Based on Taguchi S/N ratio and ANOVA, feed is the most influencing parameter for surface roughness followed by cutting speed whereas depth of cut has least significant from the experiments. In regression model, the value of R2 being 0.98 indicates that 98 % of the total variations are explained by the model. It indicates that the developed model can be effectively used to predict the surface roughness on the machining of D2 steel with 95% confidence intervals.
关键词：ANOVA; Coated carbide; Regression; Surface roughness; Taguchi