摘要
针对电子芯片面临的高热流密度散热挑战,本研究受到弧形叶脉结构的启发,提出了一种用于芯片热管理的仿生弧形叶脉状微通道热沉(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参数(通道高度h、侧脉通道间距比γ及侧脉通道宽度比β)对热沉性能的影响。采用非支配排序遗传算法(Non-dominated Sorting Genetic Algorithm-Ⅱ, 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,采用选区激光熔化技术(Selective Laser Melting, SLM)制备热沉,并搭建实验平台进行性能测试。数值模拟与实验测试结果显示:当雷诺数Re为524时,与未优化的LV-MCHS相比,NSGA-Ⅱ-MCHS的泵功耗减小了12.3%,热阻降低了3.07%,充分说明优化后的微通道热沉在降低通道表面均温与流动阻力方面具有显著的优势。
A bionic curved leaf vein microchannel heat sink(LV-MCHS)for thermal management of electronic chipsfacing high heat flux dissipation challenges is proposed in this paper under inspiration of the curved vein patterns of leaves.The effect of initially designed parameters(microchannel height h,side vein spacing ratio g and side vein width ratio b)onthe performance of the microchannel heat sink is analyzed by an orthogonal test.The multi-objective optimization is thenconducted based on the non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ)and an optimized NSGA-Ⅱ-MCHSstructure is obtained.To further evaluate the performance of the microchannel heat sink,the heat sink is fabricated viaselective laser melting(SLM)and an experiment platform is established for performance test.The numerical simulationsand experimental results show that when Reynolds number Re is 524,the pump power consumption of NSGA-Ⅱ-MCHS isreduced by 12.3%and thermal resistance is reduced by 3.07%,compared with the unoptimized LV-MCHS.These resultsclearly demonstrate that the optimized microchannel heat sink offers significant advantages in reducing the averagetemperature on the channel surface and flow resistance.
作者
钟鑫
杨光照
张棋锋
曹明轩
阳亮
郭伟伟
ZHONG Xin;YANG Guangzhao;ZHANG Qifeng;CAO Mingxuan;YANG Liang;GUO Weiwei(School of Mechanical and Automation Engineering,Wuyi University,Jiangmen 529020,China)
出处
《电子机械工程》
2025年第6期40-47,53,共9页
Electro-Mechanical Engineering
基金
江门市科技计划项目(2023780200050009211)
广东省重点领域研发计划(2020B090922004)。
关键词
微通道热沉
非支配排序遗传算法
实验研究
性能测试
microchannel heat sink
non-dominated sorting genetic algorithm-Ⅱ
experimental study
performance test
