Optimization of machining techniques — A retrospective and literature review | Zendy

Aman Aggarwal | Zendy; Hari Singh | Zendy

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Optimization of machining techniques — A retrospective and literature review

Author(s) -

Aman Aggarwal,

Hari Singh

Publication year - 2005

Publication title -

sadhana

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.268

H-Index - 49

eISSN - 0973-7677

pISSN - 0256-2499

DOI - 10.1007/bf02716704

Subject(s) - machining , taguchi methods , fuzzy logic , minification , computer science , mathematical optimization , genetic programming , engineering drawing , engineering , machine learning , artificial intelligence , mechanical engineering , mathematics

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 minimization technique, dynamic programming etc. The latest techniques for optimization include fuzzy logic, scatter search technique, genetic algorithm, Taguchi technique and response surface methodology.

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