LAPSE:2023.1293
Published Article

LAPSE:2023.1293
Low-Carbon and Low-Energy-Consumption Gear Processing Route Optimization Based on Gray Wolf Algorithm
February 21, 2023
Abstract
The process of gear machining consumes a large amount of energy and causes serious pollution to the environment. Developing a proper process route of gear machining is the key to conserving energy and reducing emissions. Nowadays, the proper process route of gear machining is based on experience and is difficult to keep up with the development of modern times. In this article, a calculation model of low-carbon and low-energy consumption in gear machining processes was established based on an analysis of the machining process. With processing parameters as independent variables, the grey wolf algorithm was used to solve the problem. The effectiveness of the method was proven by an example of the machining process of an automobile transmission shaft.
The process of gear machining consumes a large amount of energy and causes serious pollution to the environment. Developing a proper process route of gear machining is the key to conserving energy and reducing emissions. Nowadays, the proper process route of gear machining is based on experience and is difficult to keep up with the development of modern times. In this article, a calculation model of low-carbon and low-energy consumption in gear machining processes was established based on an analysis of the machining process. With processing parameters as independent variables, the grey wolf algorithm was used to solve the problem. The effectiveness of the method was proven by an example of the machining process of an automobile transmission shaft.
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Keywords
gear processing, gray wolf algorithm, low carbon, low energy consumption, process route optimization
Subject
Suggested Citation
Zhang Y, Xu H, Huang J, Xiao Y. Low-Carbon and Low-Energy-Consumption Gear Processing Route Optimization Based on Gray Wolf Algorithm. (2023). LAPSE:2023.1293
Author Affiliations
Zhang Y: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
Xu H: Office of Academic Affairs, Qiannan Broadcast Television University, Duyun 558000, China
Huang J: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
Xiao Y: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
Xu H: Office of Academic Affairs, Qiannan Broadcast Television University, Duyun 558000, China
Huang J: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
Xiao Y: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China; Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
Journal Name
Processes
Volume
10
Issue
12
First Page
2585
Year
2022
Publication Date
2022-12-04
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10122585, Publication Type: Journal Article
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LAPSE:2023.1293
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https://doi.org/10.3390/pr10122585
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[v1] (Original Submission)
Feb 21, 2023
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Feb 21, 2023
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