A review: use of evolutionary algorithm for optimisation of machining parameters

0561211 - FZÚ 2023 RIV GB eng J - Journal Article
Zolpakar, N.A. - Yasak, M.F. - Pathak, Sunil
A review: use of evolutionary algorithm for optimisation of machining parameters.
International Journal of Advanced Manufacturing Technology. Roč. 115, č. 1-2 (2021), s. 31-47. ISSN 0268-3768. E-ISSN 1433-3015
Institutional support: RVO:68378271
Keywords : machining process * machining parameter * optimisation * evolutionary algorithm
OECD category: Optics (including laser optics and quantum optics)
Impact factor: 3.563, year: 2021
Method of publishing: Limited access
https://doi.org/10.1007/s00170-021-07155-7

This pap. reviews studies to achieve the desired outputs min. surface roughness,highest material removal rate,lowest product. cost,and the shortest product. time of machining proc. and various optimisation attempts in terms of varying parameters that affect the outcomes.The review deliberates the optimis. methods employed and analyses the performance discussing the relevant param. that must have been considered by past researchers.Most studies have been focusing on optimising convent. machining proc. such as turning,milling,and drilling.Optimis. works have been performed parametrically,experimentally,and numerically,where discrete variations of the param. are investigated,while others are remained constant.Lately,evolutionary algorithm,statistical approaches such as genetic algorithm,particle swarm optimisation,and cuckoo search algorithm have been utilised in simultaneous optimis. of the param. of the desired outputs and its potential in optimising mach. proc. is recognisable.

Permanent Link: https://hdl.handle.net/11104/0333897