Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm
Surface finish and temperature rise are the crucial machining outcomes since it determines the quality of the machining and the tool life. During machining operations, choosing optimal machining parameters is critical since it affects the machining outcome. In this work, Multi-Objective Genetic Algo...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Malaysia.
2023
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39350/ http://umpir.ump.edu.my/id/eprint/39350/1/Optimization%20of%20machining%20parameters%20in%20turning%20for%20different%20hardness%20using%20multi-objective%20genetic%20algorithm.pdf |
| _version_ | 1848825744719872000 |
|---|---|
| author | Mimi Muzlina, Mukri Nor Atiqah, Zolpakar Pathak, Sunil |
| author_facet | Mimi Muzlina, Mukri Nor Atiqah, Zolpakar Pathak, Sunil |
| author_sort | Mimi Muzlina, Mukri |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Surface finish and temperature rise are the crucial machining outcomes since it determines the quality of the machining and the tool life. During machining operations, choosing optimal machining parameters is critical since it affects the machining outcome. In this work, Multi-Objective Genetic Algorithm (MOGA) optimization is used to find the combination of machining parameters at different levels of hardness of 20, 36, and 43 to obtain minimum surface roughness and minimum cutting temperature in turning operation. Cutting depth, cutting speed, and feed rate are the machining variables that are used in the process of optimization. From the results, it shows that the minimum temperature rise is 243.333 ℃ with a surface roughness of 1.975 µm during machining of 20 hardness. It also observed that the hardness of the material significantly affects the surface roughness and temperature rise. The outcome shows that as the hardness of the material is increasing the temperature is increasing while the surface roughness is decreasing. This research also revealed that using a MOGA to optimize multi-objective replies produces positive outcomes. |
| first_indexed | 2025-11-15T03:33:48Z |
| format | Article |
| id | ump-39350 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:33:48Z |
| publishDate | 2023 |
| publisher | Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Malaysia. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-393502023-11-22T03:28:45Z http://umpir.ump.edu.my/id/eprint/39350/ Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm Mimi Muzlina, Mukri Nor Atiqah, Zolpakar Pathak, Sunil TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Surface finish and temperature rise are the crucial machining outcomes since it determines the quality of the machining and the tool life. During machining operations, choosing optimal machining parameters is critical since it affects the machining outcome. In this work, Multi-Objective Genetic Algorithm (MOGA) optimization is used to find the combination of machining parameters at different levels of hardness of 20, 36, and 43 to obtain minimum surface roughness and minimum cutting temperature in turning operation. Cutting depth, cutting speed, and feed rate are the machining variables that are used in the process of optimization. From the results, it shows that the minimum temperature rise is 243.333 ℃ with a surface roughness of 1.975 µm during machining of 20 hardness. It also observed that the hardness of the material significantly affects the surface roughness and temperature rise. The outcome shows that as the hardness of the material is increasing the temperature is increasing while the surface roughness is decreasing. This research also revealed that using a MOGA to optimize multi-objective replies produces positive outcomes. Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM), Malaysia. 2023 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39350/1/Optimization%20of%20machining%20parameters%20in%20turning%20for%20different%20hardness%20using%20multi-objective%20genetic%20algorithm.pdf Mimi Muzlina, Mukri and Nor Atiqah, Zolpakar and Pathak, Sunil (2023) Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm. Journal of Mechanical Engineering, 20 (3). pp. 25-48. ISSN 1823-5514. (Published) https://doi.org/10.24191/jmeche.v20i3.23899 10.24191/jmeche.v20i3.23899 |
| spellingShingle | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Mimi Muzlina, Mukri Nor Atiqah, Zolpakar Pathak, Sunil Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm |
| title | Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm |
| title_full | Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm |
| title_fullStr | Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm |
| title_full_unstemmed | Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm |
| title_short | Optimization of Machining Parameters in Turning for Different Hardness using Multi-Objective Genetic Algorithm |
| title_sort | optimization of machining parameters in turning for different hardness using multi-objective genetic algorithm |
| topic | TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/39350/ http://umpir.ump.edu.my/id/eprint/39350/ http://umpir.ump.edu.my/id/eprint/39350/ http://umpir.ump.edu.my/id/eprint/39350/1/Optimization%20of%20machining%20parameters%20in%20turning%20for%20different%20hardness%20using%20multi-objective%20genetic%20algorithm.pdf |