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Noise optimization of transmission based on improved combined Kriging model
Published:2023-02-15 author:TONG Lin-jun, ZENG Wei, LIN Xiao-juan, et al. Browse: 457 Check PDF documents
Noise optimization of transmission based on improved combined Kriging model

TONG Lin-jun1, ZENG Wei2, LIN Xiao-juan1, CAI Jian-wen1, JIANG Xing-yang1
(1.School of Automotive Engineering, Foshan Polytechnic, Foshan 528137, China;
2.School of Mechanical Engineering, Xi'an Shiyou University, Xi'an 710065, China)

Abstract:  Aiming at the problem of gear design parameters and timeconsuming gear vibration analysis, a noise optimization method of gearbox based on the combined Kriging (KG) model was proposed,that was, the multiobjective optimization design model of the transmission. Firstly, the boundary element model of variable speed vibration and noise analysis of gearbox was established,to calculate the vibration and noise sound pressure level of gearbox under different design parameters. Then, based on the boundary element model, the Kriging (KG) model was introduced to establish the gearbox vibration and noise sound pressure level proxy model to improve the efficiency of gear vibration and noise analysis. And a combined KG model with global accuracy and local accuracy was established, and the gearbox vibration and noise sound pressure level agent model based on the combined KG model was constructed to improve the fitting accuracy of the KG model. Finally, taking the gearbox error and sound pressure level as the optimization objective and the combined KG model of sound pressure level as the optimization objective function, the gearbox gear parameters were optimized. The optimization results were verified by the corresponding results obtained by the traditional method. The results show that this method can reduce the noise of gearbox, and the time-consuming of gearbox noise optimization is reduced 68.2% too.
Key words:  gearbox; gear vibration noise analysis; gear design parameters optimization; transmission error; transmission noise reduction; noiseoptimized efficiency; noise sound pressure level calculation; Kriging(KG) model

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