LAPSE:2023.36312
Published Article
LAPSE:2023.36312
Application of Life Cycle of Aeroengine Mainshaft Bearing Based on Digital Twin
Yunfeng Li, Ming Li, Zhong Yan, Ruoxuan Li, Ao Tian, Xinming Xu, Hang Zhang
July 7, 2023
Aeroengine mainshaft bearings are key components in modern aeroengines, and their main functions are to support the rotation of the main shaft of the aeroengine in harsh environments, such as high temperature, heavy load, high speed and oil break; reduce the friction coefficient during the high-speed rotation of the main shaft; and reliably ensure the rotation accuracy and power transmission of the aeroengine’s main shaft during operation. The manufacture of aeroengine mainshaft bearings requires complex processes and precise machining to ensure high performance and reliability, and how to intelligently complete the production and manufacture of mainshaft bearings and ensure the strength and accuracy of the bearings, quickly distinguish the fault types of the bearings and efficiently calculate, analyze and predict the life of the bearings are the current research hotspots. Therefore, building a high-fidelity and computationally efficient digital twin life cycle of aeroengine mainshaft bearings is a valuable solution. This paper summarizes the key manufacturing technology, manufacturing mode and manufacturing process based on digital twins in the life cycle of aeroengine mainshaft bearings, including the metallurgical process, heat treatment process and grinding process of aeroengine mainshaft bearings. It presents a fault diagnosis and life analysis of mainshaft bearings of aeroengines, discussing the key technologies and research directions of the life cycle of mainshaft bearings based on digital twins.
Keywords
aeroengine mainshaft bearing, digital twin, fault diagnosis, grinding process, heat treatment process, life prediction, metallurgical process
Suggested Citation
Li Y, Li M, Yan Z, Li R, Tian A, Xu X, Zhang H. Application of Life Cycle of Aeroengine Mainshaft Bearing Based on Digital Twin. (2023). LAPSE:2023.36312
Author Affiliations
Li Y: Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China; School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 15 [ORCID]
Li M: School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China
Yan Z: AECC Harbin Bearing Co., Ltd., Harbin 150500, China
Li R: School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China
Tian A: School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China
Xu X: School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China
Zhang H: School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China
Journal Name
Processes
Volume
11
Issue
6
First Page
1768
Year
2023
Publication Date
2023-06-10
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11061768, Publication Type: Review
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LAPSE:2023.36312
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doi:10.3390/pr11061768
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Jul 7, 2023
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CC BY 4.0
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Jul 7, 2023
 
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Calvin Tsay
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