Experimental and Numerical Investigation on the Flow-Induced Interior Noise Based on Pellicular Analysis

Abstract

Turbulence caused by the rearview mirror and A-pillar is the main source of interior wind noise. Because of the difference in energy and transfer efficiency of acoustic and turbulent pressure, it is important to accurately identify the two kinds of pressure on the window surface when studying interior wind noise. Wave Number Decomposition (WND) and Pellicular Mode Decomposition (PMD) are successfully applied to decompose the pressure on the window. Furthermore, the transfer function calculated by pellicular analysis is used to calculate the interior wind noise, and the result is compared with the result calculated by the Finite Element Method (FEM) and measured by the experiment. The results revealed that the interior wind noise calculated by the pellicular analysis method is almost the same as the result calculated by the FEM, and that it presents obvious advantages in computational efficiency.