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

Mohamed Arezki Mellal () and Edward J. Williams
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Mohamed Arezki Mellal: M’Hamed Bougara University
Edward J. Williams: University of Michigan

Journal of Intelligent Manufacturing, 2016, vol. 27, issue 5, No 2, 927-942

Abstract: 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.

Keywords: Advanced machining processes; Process parameters; Cuckoo optimization algorithm (COA); Hoopoe heuristic (HH) (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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DOI: 10.1007/s10845-014-0925-4

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