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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

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 surf...

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Main Authors: Nooraziah Ahmad, Tiagrajah V. Janahiraman
Format: Book Section
Published: IIEEE Malaysia Section Control Systems Chapter
Online Access:http://discol.umk.edu.my/id/eprint/8603/
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spelling my.umk.eprints.86032022-05-23T10:38:19Z http://discol.umk.edu.my/id/eprint/8603/ A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization Nooraziah Ahmad Tiagrajah V. Janahiraman 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. IIEEE Malaysia Section Control Systems Chapter Book Section NonPeerReviewed Nooraziah Ahmad and Tiagrajah V. Janahiraman A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization. In: 2015 IEEE Conference on Systems, Process and Control (ICSPC). IIEEE Malaysia Section Control Systems Chapter, pp. 129-133. ISBN 9781467376549 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7473572&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7473572
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
description 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.
format Book Section
author Nooraziah Ahmad
Tiagrajah V. Janahiraman
spellingShingle Nooraziah Ahmad
Tiagrajah V. Janahiraman
A comparison on optimization of surface roughness in machining AISI 1045 steel using Taguchi method, genetic algorithm and particle swarm optimization
author_facet Nooraziah Ahmad
Tiagrajah V. Janahiraman
author_sort Nooraziah Ahmad
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 IIEEE Malaysia Section Control Systems Chapter
url http://discol.umk.edu.my/id/eprint/8603/
http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7473572&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7473572
_version_ 1763304007918419968
score 13.211869

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