Work

A Study of Tribological Performance Prediction Based on Surface Texture Parameters

Year: 2024

Type: article

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.

Source: Crystals

DOI: 10.3390/cryst14100848

Authors: Ben Wang, Jingwen Sun, Zhongxun Liu, Wei Zhang

Institutions: Huanghuai University, Harbin University of Science and Technology

Language: English

Topic: Tribology and Lubrication Engineering

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,955

Funder: Henan Provincial Science and Technology Research Project