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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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Main Authors: Mimi Muzlina, Mukri, Nor Atiqah, Zolpakar
Format: Conference or Workshop Item
Language:English
English
Published: Springer International Publishing 2023
Subjects:
TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
Online Access: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
http://umpir.ump.edu.my/id/eprint/39354/
https://doi.org/10.1007/978-981-19-1577-2_39
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spelling my.ump.umpir.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 https://doi.org/10.1007/978-981-19-1577-2_39
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TJ Mechanical engineering and machinery
TL Motor vehicles. Aeronautics. Astronautics
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
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.
format Conference or Workshop Item
author Mimi Muzlina, Mukri
Nor Atiqah, Zolpakar
author_facet Mimi Muzlina, Mukri
Nor Atiqah, Zolpakar
author_sort Mimi Muzlina, Mukri
title 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_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_sort optimization of temperature rise in turning using single objective genetic algorithm
publisher Springer International Publishing
publishDate 2023
url 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
http://umpir.ump.edu.my/id/eprint/39354/
https://doi.org/10.1007/978-981-19-1577-2_39
_version_ 1822923861964881920
score 13.235362

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