胡德卿. 车内轰鸣音的声固耦合频率响应分析及优化[J]. 机械研究与应用, 2023, 36(6): 128-132. DOI: 10.16576/j.ISSN.1007-4414.2023.06.035
引用本文: 胡德卿. 车内轰鸣音的声固耦合频率响应分析及优化[J]. 机械研究与应用, 2023, 36(6): 128-132. DOI: 10.16576/j.ISSN.1007-4414.2023.06.035
HU De-qing. Analysis and Optimization of Sound-Structure Coupling Frequency Response[J]. Mechanical Research & Application, 2023, 36(6): 128-132. DOI: 10.16576/j.ISSN.1007-4414.2023.06.035
Citation: HU De-qing. Analysis and Optimization of Sound-Structure Coupling Frequency Response[J]. Mechanical Research & Application, 2023, 36(6): 128-132. DOI: 10.16576/j.ISSN.1007-4414.2023.06.035

车内轰鸣音的声固耦合频率响应分析及优化

Analysis and Optimization of Sound-Structure Coupling Frequency Response

  • 摘要: 文章首先简单介绍了声音的传递过程及原理,并通过TB模态试验,验证了所建立有限元TB模型的准确性;再通过噪声传递函数试验,验证了所建立有限元声腔模型的准确性。针对某车内轰鸣音现象,结合原点动刚度分析、模态分析、板贡献量分析和ODS分析进行对标研究,提出了相关的可行性优化方案。研究结果表明:引起车内轰鸣音现象的主要原因是车门内板刚性不足,导致其与声腔模态耦合,进而引发轰鸣音出现。为解决此问题,提出了相关的可行性方案。优化后的模型能够有效降低NTF曲线峰值4db,可达到目标车的同等水平,验证了此设计的可行性,此研究为解决NTF问题提供了一种高效的对策思路。

     

    Abstract: In this paper, the sound transmission process and principle are briefly introduced; then, the accuracy of the established finite element TB model is verified by performing the TB modal tests, and the accuracy of the established finite element acoustic cavity model is verified by the noise transfer function(NTF) tests. In view of the roar sound phenomenon in the vehicle, the benchmarking research is conducted through the origin dynamic stiffness analysis, modal analysis, panel participation analysis and the ODS analysis; and then the relevant feasibility optimization scheme is also put forward. The results show that the main reason for the phenomenon of roar sound inside the car is insufficient rigidity of the inner plate of the car door, resulting in the modal coupling with the acoustic cavity; then the relevant feasibility scheme is provided. The optimized model can effectively reduce the peak value of NTF curve 4db to reach the target value. The results of this study provide an efficient optimization design method for solving the NTF problem.

     

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