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

Cheng Qiang et al.

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture2026https://doi.org/10.1177/09544054261422318article
AJG 1
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0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.1177/09544054261422318

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@article{cheng2026,
  title        = {{Research on wear modeling of linear rolling guide pair based on morphological analysis and elastic creep-slip}},
  author       = {Cheng Qiang et al.},
  journal      = {Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/09544054261422318},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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