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Optimization of Machining Parameters for Milling Operations Using Non-conventional Methods

  • N. Baskar
  • P. Asokan
  • G. Prabhaharan
  • R. Saravanan
Original Article

Abstract

In this paper, optimization procedures based on the genetic algorithm, tabu search, ant colony algorithm and particle swarm optimization Algorithm were developed for the optimization of machining parameters for milling operation. This paper describes development and utilization of an optimization system, which determines optimum machining parameters for milling operations. An objective function based on maximum profit in milling operation has been used. An example has been presented at the end of the paper to give a clear picture from the application of the system and its efficiency. The results are compared and analysed using the method of feasible directions and handbook recommendations.

Keywords

Ant colony algorithm Genetic algorithm  Optimization Multi-tool milling Particle swarm optimization algorithm Tabu search algorithm 

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Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • N. Baskar
    • 1
  • P. Asokan
    • 2
  • G. Prabhaharan
    • 2
  • R. Saravanan
    • 3
  1. 1.School of Mechanical EngineeringShanmugha Arts, Science, Technology & Research Academy, (SASTRA, Deemed University) ThanjavurTamilnaduIndia
  2. 2.Department of Production EngineeringRegional Engineering CollegeTiruchirappalliIndia
  3. 3.Department of Mechanical EngineeringJ.J. College of Engineering & TechnologyTiruchirappalliIndia

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