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...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/26886/ http://irep.iium.edu.my/26886/1/RSM_n_GA_Inconel_%2322_.pdf |
| _version_ | 1848779723787730944 |
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| 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. |
| building | IIUM Repository |
| collection | Online Access |
| 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%. |
| first_indexed | 2025-11-14T15:22:19Z |
| format | Proceeding Paper |
| id | iium-26886 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:22:19Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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.. |
| 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 |
| 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_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_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_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 |
| topic | T55.4 Industrial engineering.Management engineering. T58.7 Production capacity. Manufacturing capacity |
| url | http://irep.iium.edu.my/26886/ http://irep.iium.edu.my/26886/1/RSM_n_GA_Inconel_%2322_.pdf |