Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-141-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-17-141-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
26 Feb 2026
Research article |  | 26 Feb 2026

A novel neural network model for rolling linear guide pair optimization design

Chenghao Song, Weiqi Du, Shuxin Li, and Junjun Han

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Short summary
Rolling guides are essential parts of precision machines, yet their design often depends on slow and costly simulations. This study presents a computer model that learns from a small number of examples to predict and improve guide performance. Combined with an automated design platform, it enables faster, more accurate, and efficient optimisation of mechanical components.
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