Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm
Temperature rise is an essential element that must be consider during machining process which will contribute to the satisfactory end products. All the factors such as cutting environments, methods and work material must be emphasize since it will influence the outcome. The optimization of the machi...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer International Publishing
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39354/ http://umpir.ump.edu.my/id/eprint/39354/1/Optimization%20of%20Temperature%20Rise%20in%20Turning%20Using%20Single%20Objective%20Genetic%20Algorithm%20%28intro%29.pdf http://umpir.ump.edu.my/id/eprint/39354/2/Optimization%20of%20Temperature%20Rise%20in%20Turning%20Using%20Single%20Objective%20Genetic%20Algorithm.pdf |
| _version_ | 1848825745906860032 |
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| author | Mimi Muzlina, Mukri Nor Atiqah, Zolpakar |
| author_facet | Mimi Muzlina, Mukri Nor Atiqah, Zolpakar |
| author_sort | Mimi Muzlina, Mukri |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Temperature rise is an essential element that must be consider during machining process which will contribute to the satisfactory end products. All the factors such as cutting environments, methods and work material must be emphasize since it will influence the outcome. The optimization of the machining process was carried out in this research to optimize the machining process by minimizing temperature rise for turning machining. The parameters involve during this optimization are cutting speed, feed rate, depth of cut and nose radius by using genetic algorithm optimization. This study was separated into three sections, each of which was optimized to see what effect each parameter had on temperature rise. The minimum temperature attained was 23.07 °C, while the cutting variables for cutting speed, feed rate, and depth of cut were 81.22 m/min, 0.08 mm/rev, and 0.12 mm, respectively. |
| first_indexed | 2025-11-15T03:33:49Z |
| format | Conference or Workshop Item |
| id | ump-39354 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:33:49Z |
| publishDate | 2023 |
| publisher | Springer International Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-393542023-11-22T05:27:04Z http://umpir.ump.edu.my/id/eprint/39354/ Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm Mimi Muzlina, Mukri Nor Atiqah, Zolpakar TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Temperature rise is an essential element that must be consider during machining process which will contribute to the satisfactory end products. All the factors such as cutting environments, methods and work material must be emphasize since it will influence the outcome. The optimization of the machining process was carried out in this research to optimize the machining process by minimizing temperature rise for turning machining. The parameters involve during this optimization are cutting speed, feed rate, depth of cut and nose radius by using genetic algorithm optimization. This study was separated into three sections, each of which was optimized to see what effect each parameter had on temperature rise. The minimum temperature attained was 23.07 °C, while the cutting variables for cutting speed, feed rate, and depth of cut were 81.22 m/min, 0.08 mm/rev, and 0.12 mm, respectively. Springer International Publishing 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39354/1/Optimization%20of%20Temperature%20Rise%20in%20Turning%20Using%20Single%20Objective%20Genetic%20Algorithm%20%28intro%29.pdf pdf en http://umpir.ump.edu.my/id/eprint/39354/2/Optimization%20of%20Temperature%20Rise%20in%20Turning%20Using%20Single%20Objective%20Genetic%20Algorithm.pdf Mimi Muzlina, Mukri and Nor Atiqah, Zolpakar (2023) Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm. In: 6th International Conference on Mechanical Engineering Research, ICMER 2021 , 26 - 27 October 2021 , Virtual Online. pp. 527-540., 882. ISSN 1876-1100 (Published) https://doi.org/10.1007/978-981-19-1577-2_39 |
| spellingShingle | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Mimi Muzlina, Mukri Nor Atiqah, Zolpakar Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm |
| title | Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm |
| title_full | Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm |
| title_fullStr | Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm |
| title_full_unstemmed | Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm |
| title_short | Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm |
| title_sort | optimization of temperature rise in turning using single objective genetic algorithm |
| topic | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/39354/ http://umpir.ump.edu.my/id/eprint/39354/ http://umpir.ump.edu.my/id/eprint/39354/1/Optimization%20of%20Temperature%20Rise%20in%20Turning%20Using%20Single%20Objective%20Genetic%20Algorithm%20%28intro%29.pdf http://umpir.ump.edu.my/id/eprint/39354/2/Optimization%20of%20Temperature%20Rise%20in%20Turning%20Using%20Single%20Objective%20Genetic%20Algorithm.pdf |