Automotive interior cabin noise analysis and optimization using Statistical Energy Analysis and Response Surface Methodology

In this paper, the acoustic analysis of noise has been done in automotive cabin at high speed. High-frequency noise sources are applied separately to the roof and floor panels as well as to the windshield of the vehicle, which has been investigated at both the driver's and rear passenger's head. The most important panels that have the most noise emission are specified. In order to analyze high frequencies, the Statistical Energy Analysis (SEA) method has been used; also, the Response Surface Methodology (RSM) has been used to obtain optimized panel in terms of minimally weighing and maximum noise reduction. The results show that the proposed panels with unconstrained rubber layer can reduce the cabin interior aerodynamically generated noise more than %6.