Sensitivity analysis and prevention of resonance response of centrifugal pump structure

Xiaohui Luo; Li Song; Jie Yang; Liang Zhao

doi:10.1117/12.3030411

5 June 2024 Sensitivity analysis and prevention of resonance response of centrifugal pump structure

Xiaohui Luo, Li Song, Jie Yang, Liang Zhao

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131632C (2024) https://doi.org/10.1117/12.3030411
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

In order to study the vibration characteristics of centrifugal pumps in nuclear power plants when structural resonance occurs, the quantitative relationship between vibration amplification factor of resonance point, system quality factor and natural frequency offset is obtained by analyzing the mechanical model of pumps during operation. Based on the relationship between the static deformation of the system structure and the supporting structure of the centrifugal pump, the research method of the contribution of the natural frequency offset to the vibration reduction of the centrifugal pump is analyzed. Combined with the vibration exceeding the standard caused by the resonance of a centrifugal pump in plant, the sensitivity factor of the natural frequency to the resonance prevention is summarized. The relevant conclusions can be used in the prevention and control analysis of the pump resonance in engineering practice validity, and provide an important reference for the pump design and vibration fault diagnosis of rotating equipment in nuclear power plants.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaohui Luo, Li Song, Jie Yang, and Liang Zhao "Sensitivity analysis and prevention of resonance response of centrifugal pump structure", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131632C (5 June 2024); https://doi.org/10.1117/12.3030411

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