A comparison of the different multiple response optimization techniques for turning operation of AISI O1 tool steel

被引：15

作者：

Kataria, Ravinder ^{[1
]}

Kumar, Jatinder ^{[1
]}

机构：

[1] Natl Inst Technol, Kurukshetra, Haryana, India

来源：

JOURNAL OF ENGINEERING RESEARCH | 2014年 / 2卷 / 04期

关键词：

Material removal rate; multi-response optimization; surface roughness; Taguchi method; weighted signal-to-noise ratio; PRINCIPAL COMPONENT ANALYSIS; MULTIRESPONSE OPTIMIZATION; TAGUCHI METHOD; QUALITY CHARACTERISTICS; CUTTING PARAMETERS; SURFACE-ROUGHNESS; ROBUST DESIGN; FINISH; SPEED;

D O I：

10.7603/s40632-014-0030-z

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this article, the effect of several process parameters such as tool nose radius, speed, feed and depth of cut on the machining performance of turning operation has been studied using AISI O1 tool steel as a work material. The machining characteristics that are being studied are material removal rate (MRR) and surface roughness (SR) of machined surface. Taguchi method is utilized for single response optimization. For multi-response optimization, weighted signal-to-noise ratio (WSN), grey relational analysis (GRA), utility concept and technique for order preference by similarity to ideal solution (TOPSIS) method have been utilized and their performance is evaluated. WSN method has been found to produce best results for multi-response optimization for this study.

引用

页码：161 / 184

页数：24

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[41] Multi-response robust design by principal component analysis [J].