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    基于NSGA-Ⅱ优化设计的叶脉状微通道热沉实验研究

    Optimization Design and Experimental Study of Leaf-Vein Microchannel Heat Sink Based on NSGA-Ⅱ

    • 摘要: 自然界植物叶脉的结构经过了亿万年的进化,具备了优良的热传输和流体输送能力。本研究的微通道设计受到弧形叶脉结构的启发,提出一种用于芯片热管理的仿生叶脉状微通道热沉(Leaf vein microchannel heat sink,LV-MCHS)。通过正交试验分析了初始设计的微通道热沉通道高度h、侧脉通道间距比γ及侧脉通道宽度比β对其性能的影响。采用非支配排序遗传算法(NSGA-Ⅱ)进行多目标优化,获得优化后的NSGA-Ⅱ-MCHS结构。为了进一步评估微通道热沉的性能,采用选择性激光熔化技术(Selective Laser Melting, SLM)制备热沉,并搭建实验平台进行性能测试。综合数值模拟与实验测试结果显示,当Re为524时,与未优化的LV-MCHS相比,NSGA-Ⅱ-MCHS的泵功耗Wpp减小12.3%,热阻Rth降低3.07%,充分体现了优化后的MCHS在降低通道表面均温与流动阻力方面的显著优势。

       

      Abstract: The leaf vein structures in plants have undergone millions of years of evolution, exhibiting excellent heat transfer and fluid transport capabilities. Inspired by the curved leaf-vein structure, this study proposes a biomimetic leaf vein microchannel heat sink (LV-MCHS) for chip thermal management. Orthogonal experiments were performed to analyze the effects of microchannel height (h), lateral channel spacing ratio (γ), and lateral channel width ratio (β) on the initial design performance. A multi-objective optimization using Non-dominated Sorting Genetic Algorithm-II (NSGA-II) was conducted to obtain an optimized microchannel structure (NSGA-II -MCHS). To further evaluate performance, heat sinks were fabricated using Selective Laser Melting (SLM) technology, and experimental tests were conducted. Comprehensive analysis of numerical simulations and experimental results demonstrated that, at a Reynolds number (Re) of 524, the optimized NSGA-II MCHS reduced pump power (Wpp) by 12.3% and thermal resistance (Rth) by 3.07% compared to the unoptimized LV-MCHS. These results clearly highlight the significant advantages of the optimized MCHS in reducing both surface temperature and flow resistance.

       

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