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Modal Parameters Identification Research of Commercial Vehicle Drive Shaft Based on Experimental and Simulation Hybrid Modeling

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Proceedings of China SAE Congress 2019: Selected Papers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 646))

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Abstract

Aiming at the noise problem of accelerating condition caused by the vibration of the drive shaft of a commercial vehicle, the modal analysis was carried out based on the low-order natural frequency and mode shape in this paper. The modal research process is divided into two parts, namely, simulation modal research and experimental modal research. Based on the finite element analysis method, an effective finite element model was established to simulate the free modal. Meanwhile, the rubber rope was used to hoist the drive shaft to simulate its condition of free constraint. Combined with the LMS Test. Lab test system, the modal test of the drive shaft was taken by hammering method. The test modal analysis results were compared with the simulation results, then, the finite element model was re-optimized. During the finite element model optimization process, the finite element model optimization method based on strain mode and genetic algorithm was considered. By comparing and analyzing the difference between the test and the simulation results, the natural frequencies and critical speeds of different orders of the drive shaft were obtained more accurately. And the research conclusions provide a theoretical reference for the NVH design of the drive shaft.

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Acknowledgement

This work was supported by the Joint Funds of NSFC (Natural Science Foundation of China) -Henan of China (Grant No. U1604254), Henan province science and technology development plan project (No. 182107000009). The authors express their gratitude to these foundations.

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Correspondence to Zhentao Li .

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Zhang, B., Wu, X., Li, Z., Feng, T., Yu, H. (2021). Modal Parameters Identification Research of Commercial Vehicle Drive Shaft Based on Experimental and Simulation Hybrid Modeling. In: Proceedings of China SAE Congress 2019: Selected Papers. Lecture Notes in Electrical Engineering, vol 646. Springer, Singapore. https://doi.org/10.1007/978-981-15-7945-5_63

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  • DOI: https://doi.org/10.1007/978-981-15-7945-5_63

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-15-7945-5

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