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A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization

Genetic algorithms; Optimization; Particle swarm optimization (PSO); Process control; Taguchi methods; Turning; Aisi 1045 steels; Cutting parameters; Experimental values; Genetic algorithm and particle swarm optimizations; Manufacturing industries; Optimization approach; Response surface methodology...

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Main Authors: Ahmad N., Janahiraman T.V.
Other Authors: 56486827000
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-22729
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spelling my.uniten.dspace-227292023-05-29T14:11:52Z A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization Ahmad N. Janahiraman T.V. 56486827000 35198314400 Genetic algorithms; Optimization; Particle swarm optimization (PSO); Process control; Taguchi methods; Turning; Aisi 1045 steels; Cutting parameters; Experimental values; Genetic algorithm and particle swarm optimizations; Manufacturing industries; Optimization approach; Response surface methodology; Turning operations; Surface roughness AISI 1045 steel is one of the most widely used steel in the manufacturing industry. In order to have the best quality of turned AISI 1045 steel product, surface roughness is being considered as output parameter. The two purposes of this research are to model the surface roughness using response surface methodology and to compare the different types of optimization approaches in order to identify the optimum surface roughness with particular combination of cutting parameters in turning operation. The result obtained from this study showed that the values from RSMs' prediction are 99.3% similar to the experimental values. While, particle swarm optimization give the lowest surface roughness when compared to Taguchi method and genetic algorithm and it can optimize faster than genetic algorithm. � 2015 IEEE. Final 2023-05-29T06:11:52Z 2023-05-29T06:11:52Z 2016 Conference Paper 10.1109/SPC.2015.7473572 2-s2.0-85009069308 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009069308&doi=10.1109%2fSPC.2015.7473572&partnerID=40&md5=60776979124d14e8c4a77a70159ace2a https://irepository.uniten.edu.my/handle/123456789/22729 7473572 129 133 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Genetic algorithms; Optimization; Particle swarm optimization (PSO); Process control; Taguchi methods; Turning; Aisi 1045 steels; Cutting parameters; Experimental values; Genetic algorithm and particle swarm optimizations; Manufacturing industries; Optimization approach; Response surface methodology; Turning operations; Surface roughness
author2 56486827000
author_facet 56486827000
Ahmad N.
Janahiraman T.V.
format Conference Paper
author Ahmad N.
Janahiraman T.V.
spellingShingle Ahmad N.
Janahiraman T.V.
A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization
author_sort Ahmad N.
title A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization
title_short A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization
title_full A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization
title_fullStr A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization
title_full_unstemmed A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization
title_sort comparison on optimization of surface roughness in machining aisi 1045 steel using taguchi method, genetic algorithm and particle swarm optimization
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806426171013857280
score 13.214268

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