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

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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.

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Authors and Affiliations

  1. School of Mechanical Engineering, Shanmugha Arts, Science, Technology & Research Academy, (SASTRA, Deemed University) Thanjavur, Tamilnadu, India, Pin, 613 402

    N. Baskar

  2. Department of Production Engineering, Regional Engineering College, Tiruchirappalli, India, Pin, 620 015

    P. Asokan & G. Prabhaharan

  3. Department of Mechanical Engineering, J.J. College of Engineering & Technology, Tiruchirappalli, India, Pin, 620 009

    R. Saravanan

Authors
  1. N. Baskar
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  2. P. Asokan
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  3. G. Prabhaharan
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  4. R. Saravanan
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Correspondence to N. Baskar.

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Baskar, N., Asokan, P., Prabhaharan, G. et al. Optimization of Machining Parameters for Milling Operations Using Non-conventional Methods. Int J Adv Manuf Technol 25, 1078–1088 (2005). https://doi.org/10.1007/s00170-003-1939-9

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  • DOI: https://doi.org/10.1007/s00170-003-1939-9

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