Abstract
Aiming at the problem that the accuracy of the frame strength detection method is not high, the strength detection method of the subway vehicle bogie frame is studied in the big data environment. Firstly, the new structure of the subway vehicle steering frame is taken as the research object. The CATIA software is used to carry out the solid modeling of the subway steering frame to construct the frame 3D model to obtain the frame strength detection parameters. Then, the frame test rig is built, and the strength test of the frame test rig is carried out by the finite element model of the frame strength detection to realize the strength detection of the subway vehicle bogie frame. The simulation experiment is carried out to verify the detection accuracy of the strength detection method of the metro vehicle bogie frame. The experimental comparison shows that the strength detection method of the metro vehicle bogie frame is higher than the traditional frame strength detection method.
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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Shi, W., Hai-tao, H., Ye-ming, Z., Yu-guang, W., Wei, Z., Feng, J. (2021). Strength Detection Method for Subway Vehicle Bogie Frame in Big Data Environment. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 348. Springer, Cham. https://doi.org/10.1007/978-3-030-67874-6_41
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DOI: https://doi.org/10.1007/978-3-030-67874-6_41
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