Paper
28 February 2024 Design of optimization strategy for wheel-turning repair of complete wheelsets of locomotives
Yuan Li, Jiyou Fei, Junjun Ni, Runguo Wu, Chunhong Gu
Author Affiliations +
Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130710T (2024) https://doi.org/10.1117/12.3025442
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China
Abstract
For the domestic wheel-turning repair standards of different rolling stock models, by analyzing the wheel diameter difference requirements after wheel-turning of the same axle, the same bogie, and the same carriage of different rolling stock models, and based on the measured wheel wear data of CRH380B rolling stock, and considering the different requirements of wheel diameter difference of the whole EMU and trailer of the rolling stock, we formulate the strategy of wheel-turning repair in line with the wheel-turning strategy of the whole EMU and trailer of the rolling stock. Because the wheel pair tread geometry is determined by the wheel rim thickness and wheel diameter, and is limited by the wheel diameter difference of the whole train set, the wheel pair turning strategy model based on the wheel rim thickness and wheel diameter difference of the whole train set is proposed, and the wheel pair real-time turning strategy of the wheel diameter difference and wheel rim thickness of the whole train set is designed, so as to achieve the purpose of optimizing the wheel pair turning of the whole train set, which is of great engineering significance and socio-economic significance.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yuan Li, Jiyou Fei, Junjun Ni, Runguo Wu, and Chunhong Gu "Design of optimization strategy for wheel-turning repair of complete wheelsets of locomotives", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130710T (28 February 2024); https://doi.org/10.1117/12.3025442
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KEYWORDS
Education and training

Design

Data modeling

Engineering

Mathematical optimization

Safety

Analytical research

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