Optimization of machining techniques - A retrospective and literature review

被引：76

作者：

Aggarwal, A

Singh, H ^{[1
]}

机构：

[1] Natl Inst Technol, Dept Engn Mech, Kurukshetra 136119, Haryana, India

[2] Maharaja Agrasen Inst Technol, Dept Mech & Automat Engn, Delhi 110085, India

来源：

SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES | 2005年 / 30卷 / 6期

关键词：

machining optimization; goal programming; fuzzy logic; genetic algorithms; Taguchi technique; response surface methodology;

D O I：

10.1007/BF02716704

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper an attempt is made to review the literature on optimizing machining parameters in turning processes. Various conventional techniques employed for machining optimization include geometric programming. geometric plus linear programming, goal programming. sequential unconstrained mininlization technique, dynamic programming etc. The latest techniques for optimization include fuzzy logic. scatter search technique, genetic algorithm. Taguchi technique and response Surface methodology.

引用

页码：699 / 711

页数：13

共 58 条

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[2]

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[3]

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[4]

[Anonymous], STAT DESIGN ANAL IND

[5]

[Anonymous], 1975, MIR PUBLISHERS MOSCO

[6]

Armarego E.J. A., 1969, MACHINING METALS

[7]

ARMAREGO EJA, 1998, 8 INT MAN C CHIN IMC, P26

[8]

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