Application of Life Cycle of Aeroengine Mainshaft Bearing Based on Digital Twin

Author:

Li Yunfeng12ORCID,Li Ming2,Yan Zhong3,Li Ruoxuan2,Tian Ao2,Xu Xinming2,Zhang Hang2

Affiliation:

1. Key Laboratory of Advanced Manufacturing Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China

2. School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China

3. AECC Harbin Bearing Co., Ltd., Harbin 150500, China

Abstract

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.

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Reference73 articles.

1. Current status and development trend of bearing steel in China and abroad;Li;J. Iron Steel Res.,2016

2. Development of and Perspective on High-Performance Nanostructured Bainitic Bearing Steel;Zhang;Engineering,2019

3. Cao, H., Peng, C., and Chen, X. (2022). Rolling Bearing Modeling and Model Updating Method and System Based on Digital Twinning. (CN113221280A), Chinese Patent.

4. Cao, H., Wang, L., Qiao, B., and Chen, X. (2022). Bearing Performance Degradation Evaluation Method and System Based on Digital Twinborn Model. (CN113221277A), Chinese Patent.

5. Cao, H., Su, S., Fu, Y., Qiao, B., and Chen, X. (2020). Digital Twin-Based Method for Detecting and Diagnosing Damage of Main Bearing of Aero-Engine. (CN110530638B), Chinese Patent.

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3