Multi-response optimization of duplex turning of Nickel alloy using grey relational analysis with entropy measurement

被引：6
|
作者：
Kumar, Sunil [1 ]
Yadav, Ravindra Nath [2 ]
Kumar, R. [3 ]
机构：
[1] Babu Banarasi Das Univ, Dept Mech Engn, Lucknow 226028, Uttar Pradesh, India
[2] Babu Banarasi Das Natl Inst Technol & Management, Dept Mech Engn, Lucknow 226028, Uttar Pradesh, India
[3] BNCET, Dept Mech Engn, Lucknow 226016, Uttar Pradesh, India
来源：
ENGINEERING RESEARCH EXPRESS | 2019年 / 1卷 / 02期
关键词：
optimization; S; N ratio; ANOVA; turning; Grey relational analysis; cutting force; surface roughness; NEURAL-NETWORK APPROACH; MULTIOBJECTIVE OPTIMIZATION; PARAMETERS;
D O I：
10.1088/2631-8695/ab47ab
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this work, grey relational analysis (GRA) and entropy weight technique are used for optimizing the Duplex turning parameters of Nickel alloy for multi-performance measures. The Taguchi methodology and GRA are used for optimization of multi-responses like primary-cutting force (Fp), secondary-cutting force (Fs) and average surface roughness (Ra) positively. The factors like cutting speed, feed-rate, and primary depth-of-cut (DOC) and secondary-DOC are selected for experimentation. Analysis of variance technique is applied for investigating the factor effects on the responses. The optimal result shows improvement of 11.45%, 13.91% and 18.30% on responses F-P, F-S and Ra respectively.
引用
收藏
页数：12
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