会议论文详细信息
2nd International Workshop on Materials Science and Mechanical Engineering
Mechanical self-noise prediction of sonar parts based on equivalent excitation spectrum theory
机械制造;材料科学
Sun, Y.B.^1^2 ; Huo, R.^1^2^3
School of Mechanical Engineering, Shandong University, Jinan
250061, China^1
Key Laboratory of High Efficiency and Cleanmechanical Manufacture (Shandong University), Ministry of Education, 250061, China^2
National Demonstration Center for Experimental Mechanical Engineering (Shandong University), Jinan
250061, China^3
关键词: Effective performance;    Excitation spectrum;    Noise predictions;    Propagation channels;    Sonar detection;    Theoretical modeling;    Transfer characteristics;    Vibration sources;   
Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/504/1/012056/pdf
DOI  :  10.1088/1757-899X/504/1/012056
学科分类:材料科学(综合)
来源: IOP
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【 摘 要 】

The mechanical self-noise of the sonar is one of the important factors affecting the performance of the sonar. Therefore, studying the prediction of the mechanical self-noise of the sonar is of far-reaching significance for the effective performance of sonar detection. In this paper, the theoretical modeling of the propagation channel is carried out, and the transfer characteristics of the excitation of the vibration source device into the sonar platform region are numerically simulated. A method for predicting the mechanical self-noise of the sonar part based on the equivalent excitation spectrum analysis is proposed.

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