Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-615-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-17-615-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
27 May 2026
Research article |  | 27 May 2026

Adaptive compliant milling control for switch rail edge deburring within an FDAFC-based robotic framework

Kang Xu, Quang Li, Jianyong Li, Wengang Fan, Zhiwei Wu, and Jiameng Liu

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Short summary
Switch rails are essential to railway turnouts, but machining burrs can cause cracks, shorten service life, and affect safety. This study developed a robot-assisted milling method that adjusts tool motion and cutting force in real time along long, complex rail edges. Simulations and experiments showed reduced force fluctuations, improved force tracking, and good surface quality. The results support safer, more consistent, and automated switch rail deburring.
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