A Study of Tribological Performance Prediction Based on Surface Texture Parameters
Source abstract
Abstract
Surface texture parameters are a quantitative way of characterising surface topographical features and are closely related to tribological properties. In this paper, the correlation between surface topographic features and friction coefficient is investigated on the basis of the proposed improved correlation analysis model for high-speed milling surface topography of hardened steel. It was found that the friction coefficient could not be accurately reflected by a single parameter, so a prediction model for the friction coefficient based on Sxp, Sq, Sp, Sz, Sku and Sdq was developed. In this paper, the parameter screening was completed based on the changing characteristics of the data, and a multi-parameter prediction model of the friction coefficient in the stable wear stage was established, which provides a new idea to investigate the influence of the characteristics of surface topography on tribological performance.
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Research context
OpenAlex topics: Tribology and Lubrication Engineering · Lubricants and Their Additives · Adhesion, Friction, and Surface Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Intelligent Manufacturing, Huanghuai University, Zhumadian 463000, China
School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China
Funding
Scientific and Technological Research Projects of Henan Province · key project of colleges and universities of Henan Province · National Natural Science Foundation of China
References (21)
Show source-provided references
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