Jianpeng Wu, Chengbing Yang, Wenya Shu, Yuxin Wang, Liyong Wang
{"title":"Research on self-healing characteristic and state prediction method of the copper based powder metallurgy materials on friction interface","authors":"Jianpeng Wu, Chengbing Yang, Wenya Shu, Yuxin Wang, Liyong Wang","doi":"10.1088/2051-672x/ad44b7","DOIUrl":null,"url":null,"abstract":"In high power density transmission systems, the friction and wear characteristic of copper based powder metallurgy materials is directly linked to working reliability. Moreover, these materials have frictional self-healing characteristic at the material interface. This paper focuses on exploring the healing mechanism of copper based powder metallurgy materials and conducts ‘damage-healing’ tests, proposing a method to characterize the self-healing characteristic. Subsequently, through comparative tests, the influence of temperature, speed, and pressure on the self-healing characteristics is analyzed. The results show that the increase in temperature reduces the furrow width and depth by 15.30% and 59.76%, respectively. Pressure has the greatest effect on surface roughness, reducing it by 67%. Meanwhile, this paper developed a PSO (Particle Swarm Optimization)-LSTM (Long Short-Term Memory) method to accurately predict the self-healing characterization parameters and self-healing time with small error (average 4.35%) and high correlation coefficient (<italic toggle=\"yes\">R</italic>\n<sup>2</sup>) (average 0.976). This study contributes to the development of interface repair technology for friction materials.","PeriodicalId":22028,"journal":{"name":"Surface Topography: Metrology and Properties","volume":"47 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surface Topography: Metrology and Properties","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1088/2051-672x/ad44b7","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
In high power density transmission systems, the friction and wear characteristic of copper based powder metallurgy materials is directly linked to working reliability. Moreover, these materials have frictional self-healing characteristic at the material interface. This paper focuses on exploring the healing mechanism of copper based powder metallurgy materials and conducts ‘damage-healing’ tests, proposing a method to characterize the self-healing characteristic. Subsequently, through comparative tests, the influence of temperature, speed, and pressure on the self-healing characteristics is analyzed. The results show that the increase in temperature reduces the furrow width and depth by 15.30% and 59.76%, respectively. Pressure has the greatest effect on surface roughness, reducing it by 67%. Meanwhile, this paper developed a PSO (Particle Swarm Optimization)-LSTM (Long Short-Term Memory) method to accurately predict the self-healing characterization parameters and self-healing time with small error (average 4.35%) and high correlation coefficient (R2) (average 0.976). This study contributes to the development of interface repair technology for friction materials.
期刊介绍:
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