- A review: use of evolutionary algorithm for optimisation of machining…
Počet záznamů: 1  

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

  1. 1.
    SYSNO ASEP0561211
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleA review: use of evolutionary algorithm for optimisation of machining parameters
    Author(s) Zolpakar, N.A. (MY)
    Yasak, M.F. (MY)
    Pathak, Sunil (FZU-D) ORCID, RID
    Number of authors3
    Source TitleInternational Journal of Advanced Manufacturing Technology. - : Springer - ISSN 0268-3768
    Roč. 115, č. 1-2 (2021), s. 31-47
    Number of pages17 s.
    Languageeng - English
    CountryGB - United Kingdom
    Keywordsmachining process ; machining parameter ; optimisation ; evolutionary algorithm
    Subject RIVBH - Optics, Masers, Lasers
    OECD categoryOptics (including laser optics and quantum optics)
    Method of publishingLimited access
    Institutional supportFZU-D - RVO:68378271
    UT WOS000646520800002
    EID SCOPUS85105382233
    DOI https://doi.org/10.1007/s00170-021-07155-7
    AnnotationThis 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.
    WorkplaceInstitute of Physics
    ContactKristina Potocká, potocka@fzu.cz, Tel.: 220 318 579
    Year of Publishing2023
    Electronic addresshttps://doi.org/10.1007/s00170-021-07155-7
Počet záznamů: 1  

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