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Parameter optimization of advanced machining processes using cuckoo optimization algorithm and hoopoe heuristic

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Abstract

Unconventional machining processes (communally named advanced or modern machining processes) are widely used by manufacturing industries. These advanced machining processes allow producing complex profiles and high quality-products. However, several process parameters should be optimized to achieve this end. In this paper, the optimization of process parameters of two conventional and four advanced machining processes is investigated: drilling process, grinding process, abrasive jet machining, abrasive water jet machining, ultrasonic machining, and water jet machining, respectively. This research employed two bio-inspired algorithms called the cuckoo optimization algorithm and the hoopoe heuristic to optimize the machining control parameters of these processes. The obtained results are compared with other optimization algorithms described and applied in the literature.

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Authors and Affiliations

  1. Faculty of Engineering Sciences (FSI), M’Hamed Bougara University, 35000 , Boumerdes, Algeria

    Mohamed Arezki Mellal

  2. Industrial and Manufacturing Systems Engineering Department, College of Engineering and Computer Science, University of Michigan, Dearborn, MI, 48126, USA

    Edward J. Williams

  3. Decision Sciences, College of Business, University of Michigan, Dearborn, MI, 48126, USA

    Edward J. Williams

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  1. Mohamed Arezki Mellal
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  2. Edward J. Williams
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Correspondence to Mohamed Arezki Mellal.

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Mellal, M.A., Williams, E.J. Parameter optimization of advanced machining processes using cuckoo optimization algorithm and hoopoe heuristic. J Intell Manuf 27, 927–942 (2016). https://doi.org/10.1007/s10845-014-0925-4

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  • DOI: https://doi.org/10.1007/s10845-014-0925-4

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