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Multi-objective optimizations on thermal and hydraulic performance of symmetric and asymmetric bionic Y-shaped fractal networks by genetic algorithm coupled with CFD simulation
International Communications in Heat and Mass Transfer ( IF 6.4 ) Pub Date : 2021-04-01 , DOI: 10.1016/j.icheatmasstransfer.2021.105261
Ziqiang He , Yunfei Yan , Shuai Feng , Zhongqing Yang , Li Zhang , Zhien Zhang

With the high energy output of electronic devices, effective heat dissipation with low energy consumption has drawn great attention. Based on the construction theory, the flow resistance of the generalized bionic Y-shaped fractal networks is theoretically analyzed. It is found that the symmetrical width has a positive effect on reducing the hydraulic resistance, while the symmetrical length plays a negative influence. Then, the optimal designs of symmetrical and asymmetrical bionic Y-shaped fractal heat sinks are obtained by multi-objective optimization with genetic algorithm (GA). The pressure loss in the asymmetrical bionic Y-shaped fractal heat sink is always lower than that of the symmetrical bionic Y-shaped fractal heat sink at the same fractal number. As the constraint of thermal resistance reduces from 0.045 K/W to 0.042 K/W, the pumping power difference between symmetrical and asymmetrical bionic Y-shaped fractal heat sinks increases from 70.1 mW to 99.1 mW. Furthermore, according to the CFD investigation, it is noted that the symmetrical heat sink exhibits a lower temperature difference and more uniform temperature distribution.



中文翻译:

遗传算法与CFD仿真相结合的对称和非对称仿生Y形分形网络的热力和水力性能多目标优化

随着电子设备的高能量输出,以低能耗的有效散热备受关注。基于构造理论,对广义仿生Y形分形网络的流动阻力进行了理论分析。发现对称宽度对减小水力阻力具有积极作用,而对称长度则具有负面影响。然后,通过遗传算法(GA)进行多目标优化,得到对称和不对称仿生Y形分形散热器的最优设计。在相同的分形数下,非对称仿生Y形分形散热器的压力损失始终低于对称仿生Y形分形散热器的压力损失。随着热阻的限制从0.045 K / W降低至0.042 K / W,对称和不对称仿生Y形分形散热器之间的泵浦功率差从70.1 mW增加到99.1 mW。此外,根据CFD研究,注意到对称散热器显示出较低的温差和更均匀的温度分布。

更新日期:2021-04-02
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