Yoomyeong Lee, Hyunmuk Park, Hyeon Taek Nam, Yong-Hyeon Kim, Jae-Hwan Ahn, Donghwi Lee
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Infrared (IR) visualization was used to extract the wicking coefficient, and the experimental data were compared with computational fluid dynamics (CFD) simulations for validation. At room temperature (20 °C), the wicking coefficient increased with larger pillar diameters (D) and smaller gaps (G). Specifically, the highest roughness factor sample (D04G10, <i>r</i> = 2.51) exhibited a 117% higher wicking coefficient than the lowest roughness factor sample (D04G20, <i>r</i> = 1.51), attributed to enhanced capillary pressure and improved liquid supply. Additionally, for the same surface roughness factor, the wicking coefficient increased with temperature, showing a 49% rise at 95 °C compared to 20 °C due to reduced viscous resistance. CFD simulations showed strong agreement with experiments, with error within ±10%. 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引用次数: 0
摘要
沸腾传热利用相变过程中的潜热,因其热效率高而得到广泛应用,在现有和下一代冷却技术中发挥着重要作用。沸腾传热中最关键的参数是临界热流密度(CHF),它代表被加热表面在沸腾过程中所能承受的最大热流密度。CHF主要受排液性能的影响,排液性能决定了液体向地表的供应。本研究以蒸馏水为工质,对不同温度(20 ~ 95℃)下微柱结构的排芯性能进行了实验和数值分析,为CHF预测提供基础数据。利用红外(IR)可视化技术提取了吸湿系数,并将实验数据与计算流体力学(CFD)模拟进行了对比验证。在室温(20℃)下,随着矿柱直径(D)的增大和空隙(G)的减小,排芯系数增大。其中,粗糙度系数最高的样品(D04G10, r = 2.51)比粗糙度系数最低的样品(D04G20, r = 1.51)的吸湿系数高117%,这是由于毛细压力的增加和液体供应的改善。此外,对于相同的表面粗糙度系数,排汗系数随温度升高而增加,由于粘性阻力降低,在95°C时比在20°C时增加49%。CFD模拟结果与实验结果吻合较好,误差在±10%以内。这些结果证实,所提出的数值方法是一个可靠的工具,预测在沸点附近的排汗性能。
Temperature Effects on Wicking Dynamics: Experimental and Numerical Study on Micropillar-Structured Surfaces.
Boiling heat transfer, utilizing latent heat during phase change, has widely been used due to its high thermal efficiency and plays an important role in existing and next-generation cooling technologies. The most critical parameter in boiling heat transfer is critical heat flux (CHF), which represents the maximum heat flux a heated surface can sustain during boiling. CHF is primarily influenced by the wicking performance, which governs liquid supply to the surface. This study experimentally and numerically analyzed the wicking performance of micropillar structures at various temperatures (20-95 °C) using distilled water as the working fluid to provide fundamental data for CHF prediction. Infrared (IR) visualization was used to extract the wicking coefficient, and the experimental data were compared with computational fluid dynamics (CFD) simulations for validation. At room temperature (20 °C), the wicking coefficient increased with larger pillar diameters (D) and smaller gaps (G). Specifically, the highest roughness factor sample (D04G10, r = 2.51) exhibited a 117% higher wicking coefficient than the lowest roughness factor sample (D04G20, r = 1.51), attributed to enhanced capillary pressure and improved liquid supply. Additionally, for the same surface roughness factor, the wicking coefficient increased with temperature, showing a 49% rise at 95 °C compared to 20 °C due to reduced viscous resistance. CFD simulations showed strong agreement with experiments, with error within ±10%. These results confirm that the proposed numerical methodology is a reliable tool for predicting wicking performance near boiling temperatures.
期刊介绍:
Micromachines (ISSN 2072-666X) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to micro-scaled machines and micromachinery. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.