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Lexicographic method-based parametric optimization of non-traditional machining processes for ceramic materials

Author

Listed:
  • Partha Protim Das

    (Sikkim Manipal University)

  • Shankar Chakraborty

    (Jadavpur University)

Abstract

Due to excessive hardness and high strength properties, ceramic materials have been found to be quite difficult to machine using the conventional metal removal processes. Nowadays, various non-traditional machining (NTM) processes have been successfully deployed to generate different complex shape geometries on engineering ceramics with the achievement of the desired dimensional accuracy and surface integrity. To achieve the best machining performance of those NTM processes, it has been recommended to operate them at the optimal combinations of their different input parameters. In this paper, lexicographic method is applied as a multi-objective optimization tool to derive the optimal parametric settings of three NTM processes, i.e. electrical discharge machining, Nd:YAG laser machining and ultrasonic machining which have found wide ranging applications in machining of engineering ceramics. The response values obtained at the derived optimal settings are observed to be better than those measured by the past researchers.

Suggested Citation

  • Partha Protim Das & Shankar Chakraborty, 2020. "Lexicographic method-based parametric optimization of non-traditional machining processes for ceramic materials," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 700-715, September.
    • Handle: RePEc:spr:opsear:v:57:y:2020:i:3:d:10.1007_s12597-020-00439-8
    DOI: 10.1007/s12597-020-00439-8
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    References listed on IDEAS

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    1. Jack P. C. Kleijnen, 2015. "Response Surface Methodology," International Series in Operations Research & Management Science, in: Michael C Fu (ed.), Handbook of Simulation Optimization, edition 127, chapter 0, pages 81-104, Springer.
    2. Yue Jiao & Ping Hu & Z.J. Pei & Clyde Treadwell, 2005. "Rotary ultrasonic machining of ceramics: design of experiments," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 7(2/3/4), pages 192-206.
    3. Debkalpa Goswami & Shankar Chakraborty, 2017. "Multi-objective optimization of electrochemical discharge machining processes: a posteriori approach based on bird mating optimizer," OPSEARCH, Springer;Operational Research Society of India, vol. 54(2), pages 306-335, June.
    4. Somnath Das & B. Doloi & B. Bhattacharyya, 2013. "Optimisation of ultrasonic machining of zirconia bio-ceramics using genetic algorithm," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 27(4/5/6), pages 186-197.
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