Research on modification and noise reduction optimization of Electric Multiple Units traction gear under multiple working conditions

Zhaoping Tang, Menghui Lu, Manyu Wang and Jianping Sun

PLOS ONE, 2024, vol. 19, issue 2, 1-27

Abstract: The vibration and radiation noise characteristics of the gear transmission system are different under different traction conditions, and the gear modification optimization scheme based on a single working condition is not suitable for the operating environment under all working conditions. To modify the traction gear of a high-speed EMU, an optimized design scheme for noise reduction under multiple working conditions is proposed. A modification plan of the tooth direction in conjunction with the tooth shape was devised using a parametric model of the EMU’s traction gear transmission system. The radiation noise of the gear transmission system after modification was solved using the acoustic boundary element method under different working conditions. A gear noise prediction model based on the random forest was proposed, and a gear modification parameter combination was constructed to minimize radiation noise. Then, the optimal design scheme of multi-condition modification combination parameters is obtained with the weight of the running time and acoustic contribution under different working conditions. The grey correlation degree evaluation model is established to verify that the multi-condition modification optimization design method can make the traction gear of EMU obtain satisfactory transmission performance and noise reduction effect under different working conditions.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0298785

DOI: 10.1371/journal.pone.0298785

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