Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts

This paper presents an efficient method of optimisation of surface roughness in end milling of Inconel 718 using TiAlN coated inserts under dry conditions by coupling response surface methodology (RSM) with genetic algorithm (GA). RSM has been utilized to develop an efficient mathematical model for...

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Main Authors:	Ishtiyaq, M. H., Amin, A. K. M. Nurul, Karim, A.N. Mustafizul, Ginta, Turnad Lenggo, Patwari, Muhammed Anayet Ullah
Format:	Conference or Workshop Item
Language:	English
Published:	2007
Subjects:	T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity
Online Access:	http://irep.iium.edu.my/26886/ http://irep.iium.edu.my/26886/1/RSM_n_GA_Inconel_%2322_.pdf

id	iium-26886
recordtype	eprints
spelling	iium-268862013-09-12T03:04:07Z http://irep.iium.edu.my/26886/ Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts Ishtiyaq, M. H. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Ginta, Turnad Lenggo Patwari, Muhammed Anayet Ullah T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity This paper presents an efficient method of optimisation of surface roughness in end milling of Inconel 718 using TiAlN coated inserts under dry conditions by coupling response surface methodology (RSM) with genetic algorithm (GA). RSM has been utilized to develop an efficient mathematical model for surface roughness in terms of cutting parameters. For this purpose, a number of machining experiments based on statistical central composite design of experiments method are carried out. Then the developed RS model is further interfaced with the GA to optimize the cutting conditions for achieving minimum surface roughness. GA improved the surface roughness by about 12%. 2007-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/26886/1/RSM_n_GA_Inconel_%2322_.pdf Ishtiyaq, M. H. and Amin, A. K. M. Nurul and Karim, A.N. Mustafizul and Ginta, Turnad Lenggo and Patwari, Muhammed Anayet Ullah (2007) Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts. In: 4th International Conference on Leading Edge Manufacturing in the 21st Century (LEM 21), , 7-9 November 2007, Fukuoka, Japan..
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity
spellingShingle	T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity Ishtiyaq, M. H. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Ginta, Turnad Lenggo Patwari, Muhammed Anayet Ullah Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts
description	This paper presents an efficient method of optimisation of surface roughness in end milling of Inconel 718 using TiAlN coated inserts under dry conditions by coupling response surface methodology (RSM) with genetic algorithm (GA). RSM has been utilized to develop an efficient mathematical model for surface roughness in terms of cutting parameters. For this purpose, a number of machining experiments based on statistical central composite design of experiments method are carried out. Then the developed RS model is further interfaced with the GA to optimize the cutting conditions for achieving minimum surface roughness. GA improved the surface roughness by about 12%.
format	Conference or Workshop Item
author	Ishtiyaq, M. H. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Ginta, Turnad Lenggo Patwari, Muhammed Anayet Ullah
author_facet	Ishtiyaq, M. H. Amin, A. K. M. Nurul Karim, A.N. Mustafizul Ginta, Turnad Lenggo Patwari, Muhammed Anayet Ullah
author_sort	Ishtiyaq, M. H.
title	Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts
title_short	Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts
title_full	Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts
title_fullStr	Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts
title_full_unstemmed	Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts
title_sort	application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of inconel 718 using coated wc-co inserts
publishDate	2007
url	http://irep.iium.edu.my/26886/ http://irep.iium.edu.my/26886/1/RSM_n_GA_Inconel_%2322_.pdf
first_indexed	2023-09-18T20:40:00Z
last_indexed	2023-09-18T20:40:00Z
_version_	1777409301370896384

Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end-milling of Inconel 718 using coated WC-co inserts

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