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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

机译:用CFD仿真耦合遗传算法对对称和不对称仿生Y形分形网状网络热和水力性能的多目标优化

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摘要

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.
机译:随着电子设备的高能量输出,有效的散热,能耗低备受关注。基于该结构的理论,广义仿生Y形分形网络的流动阻力进行了理论分析。据发现,该对称的宽度对降低液压阻力产生积极的影响,而对称的长度起着负面影响。然后,通过优化多目标优化与遗传算法(GA)获得对称和不对称的仿生Y形分形散热片的设计。在非对称的仿生Y形分形散热器的压力损失总是比对称仿生Y形分形热在同一分维数水槽的下部。作为热阻的约束从0.045 K / W降低到0.042 K / W,对称和不对称的仿生Y形分形散热片增加从之间70.1毫瓦至99.1毫瓦泵浦功率差。此外,根据CFD调查,它说明的是,对称的散热片具有较低的温度差更均匀的温度分布。

著录项

  • 来源
    《International Communications in Heat and Mass Transfer》 |2021年第5期|105261.1-105261.14|共14页
  • 作者单位

    Key Laboratory of Low-grade Energy Utilization Technologies and Systems Chongqing University Ministry of Education Chongqing 400030 China School of Energy and Power Engineering Chongqing University Chongqing 400030 China;

    Key Laboratory of Low-grade Energy Utilization Technologies and Systems Chongqing University Ministry of Education Chongqing 400030 China School of Energy and Power Engineering Chongqing University Chongqing 400030 China;

    Key Laboratory of Low-grade Energy Utilization Technologies and Systems Chongqing University Ministry of Education Chongqing 400030 China School of Energy and Power Engineering Chongqing University Chongqing 400030 China;

    Key Laboratory of Low-grade Energy Utilization Technologies and Systems Chongqing University Ministry of Education Chongqing 400030 China School of Energy and Power Engineering Chongqing University Chongqing 400030 China;

    Key Laboratory of Low-grade Energy Utilization Technologies and Systems Chongqing University Ministry of Education Chongqing 400030 China School of Energy and Power Engineering Chongqing University Chongqing 400030 China;

    William G. Lowrie Department of Chemical and Biomolecular Engineering The Ohio State University Columbus OH 43210 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bionic Y-shaped fractal network; Genetic algorithm; Multi-objective optimization; Mini-channel heat sinks; Symmetric and asymmetric fractals;

    机译:仿生Y形分形网;遗传算法;多目标优化;迷你通道散热器;对称和不对称分形;

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