A review: use of evolutionary algorithm for optimisation of machining parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F21%3A00561211" target="_blank" >RIV/68378271:_____/21:00561211 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s00170-021-07155-7" target="_blank" >https://doi.org/10.1007/s00170-021-07155-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00170-021-07155-7" target="_blank" >10.1007/s00170-021-07155-7</a>
Alternative languages
Result language
angličtina
Original language name
A review: use of evolutionary algorithm for optimisation of machining parameters
Original language description
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.n
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10306 - Optics (including laser optics and quantum optics)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Advanced Manufacturing Technology
ISSN
0268-3768
e-ISSN
1433-3015
Volume of the periodical
115
Issue of the periodical within the volume
1-2
Country of publishing house
GB - UNITED KINGDOM
Number of pages
17
Pages from-to
31-47
UT code for WoS article
000646520800002
EID of the result in the Scopus database
2-s2.0-85105382233