翅片式热管散热器自然对流换热特性分析与多目标结构优化

Analysis of natural convection heat transfer characteristics and multi-objective optimization of structure-parameters for finned heat pipe radiator

中文关键词: 热管散热器  自然对流  翅片散热  多目标优化  半导体制冷片  

英文关键词: heat pipe radiator  natural convection  fin sink  Multi-objective genetic optimization  thermoelectric refrigerator  

中文摘要:

      采用数值计算方法对一种应用于半导体制冷片热端散热的翅片式热管散热器进行模拟,探究自然对流条件下不同翅片参数对散热器换热特性的影响。结合多目标遗传算法(NSGA-II),以影响散热器散热的两个主要参数――翅片换热系数和肋面效率为优化目标,对散热器整体做出综合优化,并对优化结果进行K均值聚类分析,提出了翅片端优化原则。结果表明,肋面效率对散热器性能的影响有限,提高换热系数可显著降低散热器总热阻；与未优化方案相比,所选优化方案可使基板热端面温度下降3.5K,散热器热阻降低18.22%。

英文摘要:

      A finned heat pipe radiator for heat dissipation of the thermoelectric refrigerator was analyzed by numerical simulation to investigate the effects of different structure parameters on the heat transfer characteristics under natural convection. Combined with multi-objective genetic algorithm (NSGA-II), two main parameters affecting the heat dissipation of radiators, heat transfer coefficient and fin synthesis efficiency, were taken as optimization objective, then the radiator was comprehensively optimized. Using k-means clustering method to analyze the optimized solutions, the optimization principle was proposed. The results show that the influence of fin synthesis efficiency on the radiator performance is limited, and the total heat resistance of the radiator can be significantly reduced by increasing the heat transfer coefficient. Compared with the non-optimized situation, the optimization results can reduce the base temperature by 3.5 K and reduce the total heat resistance of the radiator by 18.22%.