方位(导航)
工程类
断层(地质)
过程(计算)
可靠性(半导体)
机械工程
汽车工程
可靠性工程
功率(物理)
计算机科学
量子力学
操作系统
物理
地质学
人工智能
地震学
作者
Yunfeng Li,Ming Li,Zhonghua Yan,Ruoxuan Li,Anmin Tian,Xinming Xu,Hang Zhang
出处
期刊:Processes
[MDPI AG]
日期:2023-06-10
卷期号:11 (6): 1768-1768
被引量:1
摘要
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.
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