Resumen de Multi-Parameter Optimization of Automotive Rear View Mirror Region for Reducing Aerodynamic Noise
Qiliang Li, Liyuan Zhong, Yigang Wang, Zhigang Yang, Mohammad Mehdi Rashidi
The excessive aerodynamic noise is one of the main concerns to vehicle passengers. Reducing aerodynamic noise is important for the automotive industry. This study presented a multi-parameter optimization method to reduce the aerodynamic noise in the rear view mirror region of automobiles. The accuracy of the numerical prediction and the efficiency of the optimization were investigated. The numerical results were verified by the wind tunnel experiments. The parametric modeling, genetic algorithm and subdomain simulation method were used to increase the optimization efficiency. A parametric model was built up to reshape it with different parameters. Two samples were generated through a hybrid genetic algorithm to achieve a fast convergence. The evaluation of samples was conducted by the subdomain simulation method which kept the accuracy of computational aeroacoustic calculation and saved 96% of the computational time. Based on the optimization method, the noise reduction of 4.1 dB(A) in the sound power level was achieved. The mitigation of vortices behind the region of the rear view mirror and A-pillar plays a main role in the aerodynamic noise reduction. A whole domain simulation applied to the optimization scheme was performed for the validation of the subdomain simulation method. The overall sound pressure level was decreased 2.08 dB(A) in the area of the front seat cavity and 1.35 dB(A) in the region of the rear seat cavity.
