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Optimization techniques for machining operations: a retrospective research based on various mathematical models

  • S. Bharathi Raja
  • N. Baskar
ORIGINAL ARTICLE

Abstract

Simulated annealing, genetic algorithm, and particle swarm optimization techniques have been used for exploring optimal machining parameters for single pass turning operation, multi-pass turning operation, and surface grinding operation. The behavior of optimization techniques are studied based on various mathematical models. The objective functions of the various mathematical models are distinctly different from each other. The most affecting machining parameters are considered as cutting speed, feed, and depth of cut. Physical constraints are speed, feed, depth of cut, power limitation, surface roughness, temperature, and cutting force.

Keywords

Machining parameters Three mathematical models Optimization techniques 

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Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  1. 1.School of Mechanical EngineeringSASTRA UniversityThanjavurIndia
  2. 2.Department of Mechanical EngineeringM.A.M College of EngineeringTiruchirappalliIndia

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