Quantitative characterization of rubber three-body abrasion wear: multi-scale testing and analysis methods based on defect detection

被引:0
作者
Di, Yunfei [1 ,2 ]
Zhou, Qin [1 ,2 ]
Zhou, Ziyi [1 ,2 ]
Wei, Tangshengjie [1 ,2 ]
Zhang, Kai [1 ,2 ]
Wang, Nan [1 ,2 ]
Yu, Longxiang [1 ,2 ]
机构
[1] China Univ Geosci Beijing, Sch Engn & Technol, Beijing, Peoples R China
[2] China Univ Geosci Beijing, Key Lab Deep Geodrilling Technol, Minist Nat Resources, Beijing, Peoples R China
来源
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES | 2024年 / 12卷 / 04期
基金
中国国家自然科学基金;
关键词
rubber; three-body abrasion; defect detection; deep learning; quantitative characteristic; SURFACE; ELASTOMER; BEHAVIORS; FRICTION;
D O I
10.1088/2051-672X/ad7ee7
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Abrasive wear is one of the main causes of rapid deterioration of rubber serviceability. Therefore, it is necessary to obtain information on the degree of rubber abrasion and the wear mechanism. Due to the complex nature of abrasive surfaces, obtaining accurate information on rubber abrasion is often difficult and provides limited quantitative parameters. This study presents a method to quantify rubber abrasion through defect detection and analysis. Accurate and fast identification of typical abrasion defects is achieved, and in addition, macro- and microscopic characterization data are provided based on the distribution of defects to understand the degree of abrasion and the wear mechanism. Experimental validation demonstrated the fast and accurate characterization capability of the method, especially the advanced advantages at the microscopic level. The method achieves accurate and efficient characterization of rubber abrasion, which helps to advance the study of rubber tribological behavior and is important for guiding engineering applications and improving design.
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页数:20
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