Research on wear modeling of linear rolling guide pair based on morphological analysis and elastic creep-slip

As the core functional component of high-precision CNC machine tools, the wear behavior of linear rolling guide pairs directly affects the accuracy retention of machine tools. In this paper, the surface morphology experiments and wear modeling of linear rolling guide pairs were investigated based on the differences in wear morphology and wear laws in different regions of the guide pair. The wear surface morphology of the acceleration-deceleration section, uniform velocity section, middle contact area of the slider, and roller return device section of the guide rail was observed through an optical microscope. The cross-sectional parameters were obtained through ImageJ image processing technology, and the wear volume calculation formula was derived through improved Lagrange interpolation method. Adhesive wear and abrasive wear accounted for the wear proportion of 42.97% and 57.03%, respectively. Based on Hertz contact theory and Archard wear model, a modified Archard wear model considering elastic creep-slip was established through the analysis of experimental proportions and contact deformation. The error between the model prediction results and the experimental results is within the allowable range. The research results provide a theoretical basis for the accuracy retention analysis and wear mechanism research of linear rolling guide pairs.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Published
2026-03-23
DOI
https://doi.org/10.1177/09544054261422318
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on wear modeling of linear rolling guide pair based on morphological analysis and elastic creep-slip

Zhang Zhimin, Liu Zhenjiang, Lin Xingyu, Cheng Qiang et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Adhesion, Friction, and Surface Interactions
article

Research on wear modeling of linear rolling guide pair based on morphological analysis and elastic creep-slip

Zhang Zhimin, Liu Zhenjiang, Lin Xingyu, Cheng Qiang, Li Ying, Yan Guobin
article en

Abstract

As the core functional component of high-precision CNC machine tools, the wear behavior of linear rolling guide pairs directly affects the accuracy retention of machine tools. In this paper, the surface morphology experiments and wear modeling of linear rolling guide pairs were investigated based on the differences in wear morphology and wear laws in different regions of the guide pair. The wear surface morphology of the acceleration-deceleration section, uniform velocity section, middle contact area of the slider, and roller return device section of the guide rail was observed through an optical microscope. The cross-sectional parameters were obtained through ImageJ image processing technology, and the wear volume calculation formula was derived through improved Lagrange interpolation method. Adhesive wear and abrasive wear accounted for the wear proportion of 42.97% and 57.03%, respectively. Based on Hertz contact theory and Archard wear model, a modified Archard wear model considering elastic creep-slip was established through the analysis of experimental proportions and contact deformation. The error between the model prediction results and the experimental results is within the allowable range. The research results provide a theoretical basis for the accuracy retention analysis and wear mechanism research of linear rolling guide pairs.

Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture
Beijing Agricultural Machinery Research Institute (CN)
Openalex Percentile: Top 12%
Adhesion, Friction, and Surface Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.