太阳花散热器优化设计

Optimal Design for the Sunflower Heat Sink

提出了太阳花散热器参数化设计和流场分析程序.采用VB语言开发了太阳花散热器参数化设计模拟软件,使用者只需输入太阳花散热器的基本结构参数,便可由程序自动生成高质量的六面体网格,能自动进行计算和结果后处理.然后利用该软件快速对风扇散热器组件的结构参数进行性能分析,加深了CPU风扇散热器组件各主要参数在散热器整体性能中影响程度的认识,为进一步的优化设计提供了条件.最后采用并行CFD方法,基于组合优化策略(正交实验设计、响应面模型、遗传算法和混合整型算法)以熵产最小对多参数结构风扇散热器组件进行优化,找到了太阳花散热器的最佳设计方案.优化结果比初步设计方案的性能提高了4.5%.

The procedure of the parametric design and numerical simulation with application to sunflower heat sink is developed.The procedure is embodied into parametric design and numerical simulation software utilizing VB language,which can generate high quality hexahedral mesh automatically.The numerical simulation can also be performed automatically and the results about the entropy generation rate of fan-sink assembly can be characterized without resorting to anyone.Geometry parametric investigations are carried out to illustrate the effect of various design parameters on the performance of the fan-sink assembly by choosing one parameter at a time as the control variable which can be achieved quickly by the procedure,which can provide physical insight into the flow and heat transfer characteristics of the heat sinks and deep understanding for the optimization of the heat sinks.The multi-parameter constraint structural optimization procedure based on the combination algorithms of Design of Experiments（DOE）,Response Surface Models（RSM）,Genetic Algorithm（GA） and Mixed Integer Optimization（MOST）,is performed on the fan-sink assembly for the minimum of entropy generation rate with parallel CFD.Results show that the entropy generation rate of the optimal heat sink is decreased by 4.5% compared to the initial design.