Vehicle body panel thickness optimization by a genetic algorithm
ZHOU Wei1, LI Min1,2, QIU Mingjun3, ZHANG Xilong1, LIU Jiang1, ZHANG Hongbo1
1. College of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, China; 2. Key Lab of industrial Fluid Energy Conservation and Pollution Control(Qingdao University of Technology), Ministry of Education, Qingdao 266520, China; 3. China National Heavy Machinery Research Institute Co., Ltd., Xi'an 710032, China
Abstract：The interior noise in a vehicle can be reduced by optimizing the body panel thickness. A genetic algorithm was used to optimize the vehicle body panel thickness based on a coupled acoustic structure model of the vehicle body in HyperMesh. The Hammersley experimental design method was used to determine the response surfaces of the first-order global modal of the body-in-white, the body mass and the maximum sound pressure of a target point inside the vehicle. The maximum sound pressure at the target point was then used as the performance index in a genetic algorithm to optimize the vehicle body panel thickness. The optimum thickness reduced the maximum peak sound pressure at the target point by 4.0 dB. This algorithm gave 2.2% lower sound levels than a standard genetic algorithm, 2.2% lower than the global response search method, 2.3% lower than the adaptive response surface method and 2.5% lower than the feasible direction method, respectively. The results show that this genetic algorithm improves the stability and optimization ability of the genetic algorithm and this algorithm can efficiently optimize the vehicle body panel thickness.
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2022, Vol. 62 
