基于自由变形技术的汽车除霜性能优化
首发时间:2019-01-25
摘要:针对汽车除霜风道结构复杂,不易于参数优化等问题,引进自由变形技术,对除霜风道内复杂形状的导流板进行参数化。将3块导流板放入晶胞型控制框架中,并选取5个位置的晶格控制点作为变形控制点;采用拉丁超立方试验设计方法构建42组样本,建立高可信度的径向基模型;利用多目标遗传算法对导流板进行寻优,最后对优化后的结果进行数值模拟。分析结果表明,借助自由变形技术能有效改善前挡风玻璃表面A、B区的流场分布和对流换热能力,使A区除霜面积达到80%和100%的时间分别提前17 s和40 s,B区除霜面积达到95%的时间提前6 s。因此,自由变形技术能对除霜风道内复杂形状的导流板进行简单、高效的参数化,为汽车除霜性能优化提供了新思路。
关键词: 除霜性能 导流板 自由变形技术 径向基模型 多目标遗传算法
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Optimization of Vehicle Defrosting Performance Based on Free Form Deformation
Abstract:In order to solve the present problem that the complex structure of the defrosting duct is hard to parameterize in the auto defrosting performance optimization design, a fast and effective parameterization method, free form deformation (FFD), is introduced. The lattice control points at 5 positions of the three deflectors which are put into the cellular control frame, are selected as the deformation control points. Through the Latin hypercube experimental design method, 42 groups of samples were constructed, a highly reliable radial basis approximate model is established. Then, the multi-objective genetic algorithm is employed to get the optimal model of the 3 deflectors, finally, the optimal model is simulated numerically. The analysis results indicate that the flow field distribution and convection heat transfer capacity in the area A and B of the front windshield surface are improved by using FFD method. Compared to the initial model, which makes the time of the defrost area of area A reaching 80% and 100%, respectively 17 s and 40 s earlier, and the time of the defrost area of area B reaching 95%, 6 s earlier. Thus, FFD can carry an out simple and efficient parameterization method of the complex shape of the deflector in the defrosting duct, providing a new idea for the optimization of the auto defrosting performance.
Keywords: Defrosting performance Deflector Free form deformation Radial basis function approximate model Multi-objective genetic algorithm
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