Multiple-target Optimization of Multilayer Sound Absorption Material Combinations of Passenger Compartment
YANG Xiaotao1, GU Zhengqi1,2, YANG Zhendong1, DONG Guangping 1, XIE Chao1
1. State Key Laboratory of Advanced Design and Manufacture for Vehicle Body of Hunan University, Changsha，Hunan 410082 2. Hunan University of Technology, Zhuzhou,412007
Abstract：Statistical energy analysis (SEA) model of vehicle is established. Contrasting the results of prediction and experiment，the validity of SEA model is confirmed. Four-layer materials are arranged on automobile roofs. The thicknesses of different sound materials are chosen design variables. The decline in SPL of driver head sound cavity, material mass, noise reduction efficiency, the price of material and cost effectiveness are chosen optimization targets to realize the material lighter, more excellent performance and lower cost. The method of Latin design of experiments is adopted to generate 30 sample points, and their response values are acquired through Simulation. Then Kriging approximation model is built and the other three designs points are selected to analyze the tolerance of results between the surrogate model and simulations. Finally, Multiple-target optimization is preformed based on Kriging approximation model. Compared with original materials combinations, the decline in SPL unexpectedly decreases by 0.289dB(A), but material mass reduces by 54.8%, noise reduction efficiency increases by 85.6%, the price of material decreases by 21.1% and cost effectiveness increases by 6.0%.
2013, Vol. 32 
