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With the size of high-performance electronic device decreasing (down to nanoscale), and the accompanying heat dissipation becomes a big problem due to its extremely high heat generation density. To tackle the ever-demanding heat dissipation requirement, intensive work has been done to develop techniques for chip-level cooling. Among the techniques reported in the literature, liquid cooling appears to be a good candidate for cooling high-performance electronic devices. However, when the device size is reduced to the sub-micro or nanometer level, the thermal resistance on the solid-liquid interface cannot be ignored in the heat transfer process. Usually, the interfacial thermal transport can be enhanced by using nanostructures on the solid surface because of the confinement effect of the fluid molecules filling up the nano-grooves and the increase of the solid-liquid interfacial contact area. However, in the case of weak interfacial couplings, the fluid molecules cannot enter into the nano-grooves and the interfacial thermal transport is suppressed. In the present work, the heat transfer system between two parallel metal plates filled with deionized water is investigated by molecular dynamics simulation. Electronic charges are applied to the upper plate and lower plate to create a uniform electric field that is perpendicular to the surface, and three types of nanostructures with varying size are arranged on the lower plate. It is found that the wetting state at the solid-liquid interface can change from Cassie state into Wenzel state with strength of the electric field increasing. Owing to the transition from the dewetting state to wetting state (from Wenzel to Cassie wetting state), the Kapitza length can be degraded and the solid-liquid interfacial heat transfer can be enhanced. The mechanism of the enhancing hart transfer is discussed based on the calculation of the number density distribution of the water molecules between the two plates. When the charge is further increased, electrofreezing appears, and a solid hydrogen bonding network is formed in the system, resulting in the thermal conductivity increasing to 1.2 W/(m·K) while the thermal conductivity remains almost constant when the electric charge continues to increase.
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Keywords:
- electrowetting /
- nanostructure /
- external electric field /
- solid-liquid interfacial thermal resistance /
- molecular dynamics
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Google Scholar
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Google Scholar
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Google Scholar
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图 1 纳米结构界面的固-液传热系统模型
Figure 1. Heat transfer system at nanostructured interface.
图 2 纳米结构界面的结构示意图
Figure 2. Structure diagram of nanostructured interface
图 3 Case1, Case 2, Case 3和Case 4 在不同电荷量下的系统快照图
Figure 3. Snapshots of Case 1, Case 2, Case 3 and Case 4 at different electrode charges.
图 4 Case 1和Case 3在不同电荷量下的密度分布 (a), (b) Case 1; (c), (d) Case 3
Figure 4. Density distribution of Case 1 and Case 3 at different electrode charges: (a), (b) Case 1; (c), (d) Case 3.
图 5 Case 1和Case 3在不同电荷量下的温度分布
Figure 5. Temperature distribution of Case 1 and Case 3 at different electrode charges.
图 6 Case1, Case 2, Case 3和 Case 4 在不同电荷量下的LK (a)高温端; (b)低温端
Figure 6. Kapitza length of Case 1, Case 2, Case 3 and Case 4 at different electrode charges: (a) High-temperature end; (b) low-temperature end.
图 7 在不同电荷量下Case 1, Case 2, Case 3和 Case 4中水的热导率
Figure 7. Thermal conductivity of waters of Case 1, Case 2, Case 3 and Case 4 at different electrode charges.
图 8 在不同电荷量下Case 1, Case 2, Case 3和 Case 4中水的热流密度
Figure 8. Heat flux of waters of Case 1, Case 2, Case 3 and Case 4 at different electrode charges.
表 1 4种纳米结构的参数
Table 1. Parameters of four nanogroove configurations.
d/nm w/nm s/nm Case 1 — — — Case 2 1.02 0.816 0.816 Case 3 1.02 1.02 1.02 Case 4 1.02 2.04 2.04 
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表 2 L-J势函数的具体参数
Table 2. Parameters of L-J potential.
原子类型 σ/nm ε/eV q O-O 0.3166 0.0068 –0.8476e H-H 0 0 +0.4238e Au-O 0.2867 0.0114 — Au-H 0 0 —
DownLoad: CSV
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[1] Razeeb K M, Dalton E, Cross G L W, Robinson A J 2018 Int. Mater. 63 1
Google Scholar
[2] Pop E 2010 Nano Res. 3 147
Google Scholar
[3] Kapitza P L 1971 J. Phys. U.S.S.R. 4 181
Google Scholar
[4] Shenogina N, Godawat R, Keblinski P, Garde S 2009 Phys. Rev. Lett. 102 156101
Google Scholar
[5] Harikrishna H, Ducker W A, Huxtable S T 2013 Appl. Phys. Lett. 102 251606
Google Scholar
[6] Park S C, Cho H R, Kim D, Choi S H, Choi C, Yu D I 2024 Int. J. Heat Fluid Flow 107 109388
Google Scholar
[7] Song G, Min C 2013 Mol. Phys. 111 903
Google Scholar
[8] Rashidi M M, Ghahremanian S, Toghraie D, Roy P 2020 Int. Commun. Heat Mass 117 140741
Google Scholar
[9] 张程宾, 许兆林, 陈永平 2014 63 214706
Google Scholar
Zhang C B, Xu Z L, Chen Y P 2014 Acta Phys. Sin. 63 214706
Google Scholar
[10] Chakraborty P, Ma T, Cao L, Wang Y 2019 Int. J. Heat Mass. Tran. 136 702
Google Scholar
[11] Yao S T, Wang J S, Jin S F, Tan F G, Chen S P 2024 Int. J. Therm. Sci. 203 109161
Google Scholar
[12] Qin S Y, Chen Z X, Wang Q, Li W G, Xing H W 2024 Int. Commun. Heat Mass 151 107257
Google Scholar
[13] Cassie A B D 1948 Disscussions of the Faraday Society 3 11
Google Scholar
[14] Wenzel R N 1936 Ind. Eng. Chem. 28 988
Google Scholar
[15] Bormashenko E 2015 Adv. Colloid Interface Sci. 222 92
Google Scholar
[16] Bormashenko E, Pogreb R, Stein T, Whyman G, Erlich M, Musin A, Machavariani V, Aurbach D 2008 Phys. Chem. Chem. Phys 10 4056
Google Scholar
[17] 李文, 马骁婧, 徐进良, 王艳, 雷骏鹏 2015 70 126101
Google Scholar
Li W, Ma X J, Xu J L, Wang Y, Lei J P 2015 Acta Phys. Sin. 70 126101
Google Scholar
[18] Sur A, Lu Y, Pascente C, Ruchhoeft P, Liu D 2018 Int. J. Heat Mass Tran. 120 202
Google Scholar
[19] Lippmann G 1875 Ann. de Chim. et de Phys. 5 494
(in Chinese) [20] Orejon D, Sefiane K, Shanahan M E 2013 Appl. Phys. Lett. 102 201601
Google Scholar
[21] Daub C D, Bratko D, Leung K, Luzar A 2007 J. Phys. Chem. C 111 505
Google Scholar
[22] Song F H, Li B Q, Liu C 2013 Langmuir 29 4266
Google Scholar
[23] Lee M W, Latthe S S, Yarin A L, Yoon S S 2013 Langmuir 29 7758
Google Scholar
[24] Zhang B X, Wang S L, He X, Yang Y R, Wang X D, Lee D J 2021 J. Mol. Liq. 342 117468
Google Scholar
[25] Luedtke W D, Gao J P, Landman U 2011 J. Phys. Chem. C 115 20343
Google Scholar
[26] Zhu X Y, Yuan Q Z, Zhao Y P 2014 Nanoscale 6 5432
Google Scholar
[27] Sun W, Xu X B, Zhang H, Xu C X 2008 Cryobiology 56 93
Google Scholar
[28] Zangi R, Mark A E 2004 J. Chem. Phys. 120 7123
Google Scholar
[29] Jinesh K B, Frenken J W M 2008 Phys. Rev. Lett. 101 036101
Google Scholar
[30] Ahmad I, Ranjan A, Pathak M, Khan M K 2023 Int. J. Therm. Sci. 192 108440
Google Scholar
[31] Lu Y, Liu D 2023 Int J Heat Mass Tran. 208 124055
Google Scholar
[32] 胡剑, 张森, 娄钦 2023 72 176401
Google Scholar
Hu J, Zhang S, Lou Q 2023 Acta Phys. Sin. 72 176401
Google Scholar
[33] Mugele F, Baret J C 2005 J. Phys.: Condens. Matter 17 R705
Google Scholar
[34] Plimpton S 1995 J. Comput. Phys. 117 1
Google Scholar
[35] Yenigun O, Barisik M 2019 Nanoscale Microscale Thermophys. Eng 4 304
Google Scholar
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