Seyyed Hamed Tabatabaei - Mechanical Engineering Department, South Tehran Branch of Islamic Azad University, Tehran, Iran
Saeed Moradi Haghighi - Mechanical Engineering Department, Tarbiat Modares University, Tehran, Iran
AmirHossein Kiani - Mechanical Engineering Department, University of Science and Technology, Tehran, Iran
Kasra Ghasemian - Mechanical Engineering Department, University of Science and Technology, Tehran, Iran

In this paper, an optimized insulator for sound packaging of the vehicle dash panel is proposed. The combination of the micro perforated panel and porous layers has been selected to insulate the dash panel of a vehicle.  The main advantages of the mentioned combination are light weight and various tunable parameters in comparison with other insulators. These provide significant flexibility to achieve an optimal performance for the noise attenuation of the vehicle cabin. Therefore, the parameters of the selected sound package have been optimized in order to achieve suitable sound absorption in a selected frequency range. Furthermore, the Genetic Algorithm (GA) is used to optimize the parameters. It can achieve more reliable and more accurate outcomes compared to the conventional method.  Full vehicle SEA (Statistical Energy Analysis) simulations are used to evaluate the optimized sound package. The results indicate that the optimized concept has maximum sound absorption capability.  Consequently, the proposed sound package improves the vehicle's engine noise reduction by ۵ dB in comparison with un-optimized sample in mid and high frequency ranges.

Sound Package, NVH, Optimization, Vehicle, Genetic Algorithm