A Numerical Simulation of Fretting Wear considering the Dynamic Evolution of Debris for the Coated Contact Surface

التفاصيل البيبلوغرافية
العنوان: A Numerical Simulation of Fretting Wear considering the Dynamic Evolution of Debris for the Coated Contact Surface
المؤلفون: Li Xiao, Zhiyong Chen, Yingqiang Xu
المصدر: Journal of Tribology. :1-49
بيانات النشر: ASME International, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Surface (mathematics), Materials science, Computer simulation, Mechanical Engineering, 02 engineering and technology, Surfaces and Interfaces, 021001 nanoscience & nanotechnology, Debris, Surfaces, Coatings and Films, Fretting wear, 020303 mechanical engineering & transports, 0203 mechanical engineering, Mechanics of Materials, Composite material, 0210 nano-technology
الوصف: In this paper, a multi-layer body model in which material properties and wear coefficient change with node coordinates is proposed, so that the wear profile is not restricted by the singularity of the interface of the coated contact pairs. The conversion rate of the adhered particles was obtained to describe the growth and expansion of the debris at the fretting interface based on experiments, and the wear model of coated contact pair considering the dynamic evolution of the debris layer was established. By comparing the previous experimental and computational results, the wear calculation method proposed in this paper is more reasonable to predict the wear profile of the coated contact pair. In addition, the influence of the debris layer on the wear depth, friction width, and contact pressure in the fretting process is analyzed, indicating that the existence of the debris layer can delay the wear process. Finally, the fretting wear life of the SCMV steel contact pair deposited with the W-DLC coating is estimated.
تدمد: 1528-8897
0742-4787
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::985021a764be678636889171e7fca1e5
https://doi.org/10.1115/1.4051547
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........985021a764be678636889171e7fca1e5
قاعدة البيانات: OpenAIRE