Examples



mdbootstrap.com



 
Статья
2021

A Damping Optimization Method Based on the Operational Mode Analysis for Low-Frequency Noise Reduction


Yunkai GaoYunkai Gao, Zhaotong YangZhaotong Yang, Shihui WangShihui Wang
Российский физический журнал
https://doi.org/10.1007/s11182-021-02306-5
Abstract / Full Text

Aiming at the reduction of low-frequency noise for large equipment, a damping optimization method based on the Operational Mode Analysis (OMA) is proposed. Due to the stability of the mode frequencies and shapes, damping application could make efficient noise reduction without bringing new problems compared with structural optimizations, which makes it one of the most important means for finalized products. Taking the engine compartment of an excavator as the study object, a damping optimization method based on the OMA test is proposed in this article, which makes a more efficient optimization for large equipment by its feasible modal test. Through simulation and experimental verification, the method is effective. The test results show that based on the OMA damping application method, the low-frequency sound power level has been significantly reduced, and after the damping application, the sound radiation power level defined by the national standard has also been reduced.

Author information
  • Automobile College, Tongji Univerity, Shanghai, ChinaYunkai Gao & Zhaotong Yang
  • Integrated Part of the Whole Vehicle, Pan Asia Technical Automotive Center Co., Ltd., Shanghai, ChinaShihui Wang
References
  1. W. C. Zheng, Mech. Manage Develop., 35, No. 2, 94–95 (2020).
  2. F. T. Akyildiz, and K. Vajravelu, Appl. Math. Nonlinear Sci., 3, 255–264 (2018).
  3. B. J. Shi, X. S. Hu, R. Z. Qiu, et al., J. Heilongjiang August First Land. Reclam. Univ., 29, No. 3, 117–121 (2017).
  4. J. Y. Sun, R. J. Mou, and Y. H. Liu, J. Highw. Transp. Res. Dev., 35, No. 10, 126–132 (2018).
  5. C. M. Khalique, and I. E. Mhlanga, Appl. Math. Nonlinear Sci., 3, 241–254 (2018).
  6. V. Lokesha, R. Shruti, and T. Deepika, Appl. Math. Nonlinear Sci., 3, 265–276 (2018).