基于改进遗传算法的汽车散热器优化设计

根据汽车散热器体积小、耗材少的设计要求,提出了相应的优化目标函数;选定散热器百叶窗翅片的波高、波距、水管横截面长、宽、芯体总宽等结构参数作为决策变量,采用遗传算法对其进行结构优化计算;通过对换热器遗传算法优化过程特点的研究,对基本遗传算法的种群初始化、选择算子、变异算子等作了一定的改进;为验证优化模型和改进遗传算法的正确性,编制了优化设计软件,优化实例显示优化后的散热器的换热面积比原型减少了31.2%,表明改进后的遗传算法用于汽车散热器的结构优化,能够取得较好的优化效果.

Optimal design of automotive radiator based on modified genetic algorithm

According to the design requirement of decreasing the volume and material uses,correspon-ding object function was established.Genetic algorithm was used to optimize the structure of radiator,including the wave hight and distance of the corrugated fin,length and width of the water pipe cross section,and core width as the decision variables.By studying the characteristics of optimization course,population initialization,selection operator and mutation operator of simple genetic algorithms were modified.Optimal design software was developed so as to verify the correctness of optimal model and modified genetic algorithms.Optimal example showed that the heat transfer area was reduced by 31.2% after optimization.So this modified method can obtain a better optimal effect on the radiator structure optimization.