Fine modeling method of digital twin geometric model for rolling bearing

被引：0

作者：

Wang Y. ^{[1
,2
,3
]}

Yan Y. ^{[4
]}

Ma S. ^{[1
,2
,3
]}

Wei Y. ^{[5
]}

Yue P. ^{[1
,2
,3
]}

Hu T. ^{[1
,2
,3
]}

机构：

[1] School of Mechanical Engineering, Shandong University, Jinan

[2] Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Shandong University), Ministry of Education, Jinan

[3] National Demonstration Center for Experimental Mechanical Engineering Education, Jinan

[4] Beijing Institute of Space Long March Vehicle, Beijing

[5] School of Rehabilitation Science and Engineering, University of Health and Rehabilitation Sciences, Qingdao

来源：

Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2023年 / 29卷 / 06期

基金：

中国国家自然科学基金;

关键词：

digital twin; fine modeling; fractal theory; rolling bearing;

D O I：

10.13196/j.cims.2023.06.008

中图分类号：

学科分类号：

摘要：

In the process of constructing the digital twin geometric model of the rolling bearing, the mating surface of the model is often given an ideal smooth surface, lacking surface topography information, which results in poor consistency with the physical entity. To solve this problem, the fine modeling method of digital twin geometric model for rolling bearing was proposed. Based on the fractal theory, point cloud transformation and point cloud reconstruction technology, the fine digital twin geometric model of rolling bearing with surface topography features was constructed. The fine digital twin geometry model and smooth digital twin geometry model of rolling bearing were simulated respectively, and compared with the vibration data of rolling bearing collected by experiment in time-frequency domain parameters. The results showed that the fine digital twin geometry model of rolling bearing was more consistent with the actual operation situation than the traditional smooth geometry model. © 2023 CIMS. All rights reserved.

引用

页码：1882 / 1893

页数：11

共 18 条

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