Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II
Computer numerical controlled (CNC) growth has revolutionised the manufacturing sectors by changing the way people work. In milling process, it has contributed to the higher productivity and better quality of the products. Although a lot of researches have been done on how to improve the process, th...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/14765/ http://umpir.ump.edu.my/id/eprint/14765/1/Multi-objective%20optimisation%20of%20CNC%20milling%20process%20for%20Al%206061.pdf http://umpir.ump.edu.my/id/eprint/14765/7/fkm-2016-mff-Multi-Objective%20Optimisation%20Of%20CNC%20Milling.pdf |
| _version_ | 1848819803766128640 |
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| author | M. F. F., Ab Rashid N. M. Zuki, N. M. A. N. M., Rose |
| author_facet | M. F. F., Ab Rashid N. M. Zuki, N. M. A. N. M., Rose |
| author_sort | M. F. F., Ab Rashid |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Computer numerical controlled (CNC) growth has revolutionised the manufacturing sectors by changing the way people work. In milling process, it has contributed to the higher productivity and better quality of the products. Although a lot of researches have been done on how to improve the process, the process improvement does not stop there because of evolving materials, methods and technologies. This paper presents a multi-objective optimisation of CNC milling process in order to achieve desired surface roughness and minimise machining time for Al 6061. A full factorial experiment has been conducted to model surface roughness by controlling three variables; spindle speed, feed rate and depth of cut. Multi-objective optimisation has been performed using modified Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) with two levels crossover. The optimisation result concluded that the modified NSGA-II was able to converge to Pareto-optimal, but having difficulties to spread solutions in wider range. |
| first_indexed | 2025-11-15T01:59:22Z |
| format | Conference or Workshop Item |
| id | ump-14765 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T01:59:22Z |
| publishDate | 2016 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-147652018-04-27T07:22:26Z http://umpir.ump.edu.my/id/eprint/14765/ Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II M. F. F., Ab Rashid N. M. Zuki, N. M. A. N. M., Rose TJ Mechanical engineering and machinery Computer numerical controlled (CNC) growth has revolutionised the manufacturing sectors by changing the way people work. In milling process, it has contributed to the higher productivity and better quality of the products. Although a lot of researches have been done on how to improve the process, the process improvement does not stop there because of evolving materials, methods and technologies. This paper presents a multi-objective optimisation of CNC milling process in order to achieve desired surface roughness and minimise machining time for Al 6061. A full factorial experiment has been conducted to model surface roughness by controlling three variables; spindle speed, feed rate and depth of cut. Multi-objective optimisation has been performed using modified Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) with two levels crossover. The optimisation result concluded that the modified NSGA-II was able to converge to Pareto-optimal, but having difficulties to spread solutions in wider range. 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/14765/1/Multi-objective%20optimisation%20of%20CNC%20milling%20process%20for%20Al%206061.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/14765/7/fkm-2016-mff-Multi-Objective%20Optimisation%20Of%20CNC%20Milling.pdf M. F. F., Ab Rashid and N. M. Zuki, N. M. and A. N. M., Rose (2016) Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II. In: 20th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2016) , 5-7 September 2016 , York, United Kingdom. pp. 1-8.. (Unpublished) (Unpublished) |
| spellingShingle | TJ Mechanical engineering and machinery M. F. F., Ab Rashid N. M. Zuki, N. M. A. N. M., Rose Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II |
| title | Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II |
| title_full | Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II |
| title_fullStr | Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II |
| title_full_unstemmed | Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II |
| title_short | Multi-Objective Optimisation of CNC Milling Process for Al 6061 using Modified NSGA-II |
| title_sort | multi-objective optimisation of cnc milling process for al 6061 using modified nsga-ii |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/14765/ http://umpir.ump.edu.my/id/eprint/14765/1/Multi-objective%20optimisation%20of%20CNC%20milling%20process%20for%20Al%206061.pdf http://umpir.ump.edu.my/id/eprint/14765/7/fkm-2016-mff-Multi-Objective%20Optimisation%20Of%20CNC%20Milling.pdf |