Effective Method to Improve Confidence of Shaft Torsional Vibration Analysis

PENG Yuming,MA Jian,LIU Lei,LUO Zhen,GAN Jinke

Vehicle Engine ›› 2021, Vol. 0 ›› Issue (3) : 14-19.

Vehicle Engine ›› 2021, Vol. 0 ›› Issue (3) : 14-19. DOI: 10.3969/j.issn.1001-2222.2021.03.003

Effective Method to Improve Confidence of Shaft Torsional Vibration Analysis

  • PENG Yuming1,2,MA Jian2,LIU Lei3,LUO Zhen4,GAN Jinke5
Author information +
History +

Abstract

The torsional vibration of crankshaft severely affects the lifetime and NVH performance of engine. A single lumped parameter method was commonly used in engineering to analyze the torsional vibration of crankshaft. But the confidence of obtained simulation results was doubtful due to the lack of relevant verification procedures, so the analysis results can only be verified by test results, which is cost and time consuming and is bad for CAE analysis improvement. Therefore the verification and correction method was put forward to establish a simulation model of engine crankshaft system with a higher confidence for torsional vibration analysis. The method of determining the moment of inertia and stiffness of each degree of freedom in the lumped parameter model was discussed in detail, and their accuracy improved through comparison and verification. The confidence of the one-dimensional equivalent model improved by modifying and verifying the model accuracy based on the comparison and analysis of three-dimensional and one-dimensional multi-level modal of crankshaft. The confidence level of established model was finally verified through bench tests. The results showed that the simulation analysis and experimental test had better consistency by using the verification and correction method.

Key words

torsional vibration analysis / lumped mass model / modal analysis / crankshaft

Cite this article

Download Citations
PENG Yuming,MA Jian,LIU Lei,LUO Zhen,GAN Jinke. Effective Method to Improve Confidence of Shaft Torsional Vibration Analysis[J]. Vehicle Engine. 2021, 0(3): 14-19 https://doi.org/10.3969/j.issn.1001-2222.2021.03.003

Accesses

Citation

Detail

Sections
Recommended

/