| CONDENSED MATTER: STRUCTURAL, MECHANICAL, AND THERMAL PROPERTIES |
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Local thermal conductivity of inhomogeneous nano-fluidic films:A density functional theory perspective |
| Zongli Sun(孙宗利)1,3,†, Yanshuang Kang(康艳霜)2, and Yanmei Kang(康艳梅)4 |
1 Department of Mathematics and Physics, North China Electric Power University, Baoding 071003, China;
2 College of Science, Hebei Agricultural University, Baoding 071001, China;
3 Hebei Key Laboratory of Physics and Energy Technology, Baoding 071003, China;
4 University of International Relations, Beijing 100091, China |
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Abstract Combining the mean field Pozhar—Gubbins (PG) theory and the weighted density approximation, a novel method for local thermal conductivity of inhomogeneous fluids is proposed. The correlation effect that is beyond the mean field treatment is taken into account by the simulation-based empirical correlations. The application of this method to confined argon in slit pore shows that its prediction agrees well with the simulation results, and that it performs better than the original PG theory as well as the local averaged density model (LADM). In its further application to the nano-fluidic films, the influences of fluid parameters and pore parameters on the thermal conductivity are calculated and investigated. It is found that both the local thermal conductivity and the overall thermal conductivity can be significantly modulated by these parameters. Specifically, in the supercritical states, the thermal conductivity of the confined fluid shows positive correlation to the bulk density as well as the temperature. However, when the bulk density is small, the thermal conductivity exhibits a decrease-increase transition as the temperature is increased. This is also the case in which the temperature is low. In fact, the decrease—increase transition in both the small-bulk-density and low-temperature cases arises from the capillary condensation in the pore. Furthermore, smaller pore width and/or stronger adsorption potential can raise the critical temperature for condensation, and then are beneficial to the enhancement of the thermal conductivity. These modulation behaviors of the local thermal conductivity lead immediately to the significant difference of the overall thermal conductivity in different phase regions.
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Received: 07 November 2023
Revised: 08 December 2023
Accepted manuscript online: 26 December 2023
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PACS:
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65.20.-w
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(Thermal properties of liquids)
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66.10.cd
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(Thermal diffusion and diffusive energy transport)
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66.25.+g
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(Thermal conduction in nonmetallic liquids)
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| Fund: Project supported by the Fundamental Research Fund for the Central Universities of China, and the Research Project for Independently Cultivate Talents of Hebei Agricultural University (Grant No. ZY2023007). |
Corresponding Authors:
Zongli Sun
E-mail: sunzl@ncepu.edu.cn
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Cite this article:
Zongli Sun(孙宗利), Yanshuang Kang(康艳霜), and Yanmei Kang(康艳梅) Local thermal conductivity of inhomogeneous nano-fluidic films:A density functional theory perspective 2024 Chin. Phys. B 33 046503
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[1] Poling B E, Prausnitz J M and O'Connell J P 2001 The Properties of Gases and Liquids (New York:McGrawHill)
[2] Ganvir R B, Walke P V and Kriplani V M 2017 Renew. Sust. Energ. Rev. 75 451
[3] Yuan K J, Shi J M, Aftab W, Qin M L, Usman A, Zhou F, Lv Y, Gao S and Zou R Q 2020 Adv. Funct. Mater. 30 1904228
[4] Galliero G and Boned C 2009 Phys. Rev. E 80 061202
[5] McLinden M O, Klein S A and Perkins R A 2000 Int. J. Refrig. 23 43
[6] Sun T F and Teja A S 2009 J. Chem. Eng. Data 54 2527
[7] Wang X H, Li Y, Yan Y Y, Wright E, Gao N and Chen G M 2020 Int. J. Refrig. 119 316
[8] Arias F J 2023 Int. J. Heat Mass Transfer 209 124111
[9] Zhu J T 2023 Int. J. Heat Mass Transfer 209 124127
[10] Arshad A, Jabbal M and Yan Y Y 2020 Energ. Convers. Manag. 205 112444
[11] Long R, Luo Z Q, Kuang Z F, Liu Z C and Liu W 2020 Nano Energy 67 104284
[12] Wu S F, Yan T, Kuai Z H and Pan W G 2020 Solar Energy 205 474
[13] Zhao Z X, Sun C Z and Zhou R F 2020 Int. J. Heat Mass Transfer 152 119502
[14] Ueki Y, Yamamoto Y, Ohara T and Shibahara M 2023 Int. J. Heat Mass Transfer 202 123746
[15] Giannakopoulos A E, Sofos F, Karakasidis T E and Liakopoulos A 2012 Int. J. Heat Mass Transfer 55 5087
[16] Hyzorek K and Tretiakov K V 2016 J. Chem. Phys. 144 194507
[17] Jin L, Noraldeen S F M, Zhou L P and Du X Z 2022 Int. J. Heat Mass Transfer 185 122325
[18] Chilukoti H K, Kikugawa G, Shibahara M and Ohara T 2015 Phys. Rev. E 91 052404
[19] Zhao Z X, Zhou R F and Sun C Z 2020 J. Chem. Phys. 153 234701
[20] Pozhar L A and Gubbins K E 1993 J. Chem. Phys. 99 8970
[21] Pozhar L A and Gubbins K E 1997 Phys. Rev. E 56 5367
[22] Bugel M and Galliero G 2008 Chem. Phys. 352 249
[23] Lautenschlaeger M P and Hasse H 2019 Fluid Phase Equilibr. 482 38
[24] Sung W and Dahler J S 1984 J. Chem. Phys. 80 3025
[25] Johnson J K, Müller E A and Gubbins K E 1994 J. Phys. Chem. 98 6413
[26] Hoang H and Galliero G 2013 J. Phys.:Condens. Matter 25 485001
[27] Percus J K 1981 J. Chem. Phys. 75 1316
[28] Evans R 1979 Adv. Phys. 28 143
[29] Henderson D 1992 Fundamentals of Inhomogeneous Fluids (New York:Dekker)
[30] Yu Y X and Wu J Z 2002 J. Chem. Phys. 117 10156
[31] Roth R, Evans R, Lang A and Kahl G 2002 J. Phys.:Condens. Matter 14 12063
[32] Yu Y X 2009 J. Chem. Phys. 131 024704
[33] Peng B and Yu Y X 2008 J. Phys. Chem. B 112 15407
[34] Yu Y X, Gao G H and Wang X L 2006 J. Phys. Chem. B 110 14418
[35] You F Q, Yu Y X and Gao G H 2005 J. Phys. Chem. B 109 3512
[36] Sun Z L, Kang Y S and Kang Y M 2019 Chin. Phys. B 28 036102
[37] Sun Z L, Kang Y S and Li S T 2022 J. Phys. Chem. B 126 8010
[38] Bitsanis I, Vanderlick T K, Tirrell M and Davis H T 1988 J. Chem. Phys. 89 3152
[39] Rah K and Eu C B 2001 J. Chem. Phys. 115 9370 |
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