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perational Energy Transfer Path Analysis of Vehicle Interior Noise
WANG Bin-xing;ZHENG Si-fa;HAO Peng;LIAN Xiao-min
   2011, 31 (5): 71-74.   DOI: 10.3969/j.issn.1006-1355-2011.05.017
Abstract1672)            Save
Transfer path analysis is an important tool to analyze the vehicle’s interior noise. In medium and high frequency range, there exist significant variations in transfer functions among individual products which are produced to be identical. To provide more universal and instructive analysis results to the ensemble of products, operational transfer path analysis based on energy is put forward and applied to the interior noise analysis of a heavy truck cab. Results of the analysis are validated by comparison with those of test method. Comparison of the results with those from the traditional operational-transfer-path analysis method shows that under the same given condition, the transfer functions estimated by the new method are more stable.
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Modeling of Acoustic Characteristics of a Cab with Response Surface Method and its Application
WANG Bin-xing;ZHENG Si-fa;ZHOU lin;LIAN Xiao-min
   2011, 31 (3): 60-64.   DOI: 10.3969/j.issn.1006-1355-2011.03.014
Abstract2067)            Save
Sound absorbing materials have been widely used in the vehicle noise control. In this paper, the response surface method is applied to the acoustic modeling of the cab of a heavy truck with a variety of sound absorbing materials attached. Design variables are determined with the panel’s acoustic contribution analysis, and the design of the experiments is made. A simulation model of the cab with the consideration of sound absorption characteristics is built to carry out the designed experiments. With the obtained response variables, the response surface model of the sound pressure on the side of the driver’s right ear is built. The effectiveness of the model is validated. The response surface model has been applied to the thicknesses optimization of the sound absorbing materials for different panels of the cab. It shows that after the optimization, the thicknesses of sound absorbing materials are reduced, and the effect of noise reduction is improved at the same time.
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