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SPECIAL TOPIC—Heat conduction and its related interdisciplinary areas |
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Theoretical study on the effective thermal conductivity of silica aerogels based on a cross-aligned and cubic pore model |
Kuncan Zheng(郑坤灿)1,2,†, Zhendong Li(李震东)1, Yutong Cao(曹豫通)1, Ben Liu(刘犇))1, and Junlei Hu(胡君磊)1 |
1 School of Energy and Environment, Inner Mongolia University of Science and Technology, Baotou 014010, China; 2 Inner Mongolia Key Laboratory of Efficient and Clean Combustion, Baotou 014010, China |
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Abstract Aerogel nanoporous materials possess high porosity, high specific surface area, and extremely low density due to their unique nanoscale network structure. Moreover, their effective thermal conductivity is very low, making them a new type of lightweight and highly efficient nanoscale super-insulating material. However, prediction of their effective thermal conductivity is challenging due to their uneven pore size distribution. To investigate the internal heat transfer mechanism of aerogel nanoporous materials, this study constructed a cross-aligned and cubic pore model (CACPM) based on the actual pore arrangement of SiO$_{2}$ aerogel. Based on the established CACPM, the effective thermal conductivity expression for the aerogel was derived by simultaneously considering gas-phase heat conduction, solid-phase heat conduction, and radiative heat transfer. The derived expression was then compared with available experimental data and the Wei structure model. The results indicate that, according to the model established in this study for the derived thermal conductivity formula of silica aerogel, for powdery silica aerogel under the conditions of $T=298$K, $a_{2} =0.85$, $D_{1} =90μ $m, $\rho =128{\rm kg/m}^{3}$, within the pressure range of 0-10$^{5}$Pa, the average deviation between the calculated values and experimental values is 10.51%. In the pressure range of 10$^{3}$-10$^{4}$Pa, the deviation between calculated values and experimental values is within 4%. Under these conditions, the model has certain reference value in engineering verification. This study also makes a certain contribution to the research of aerogel thermal conductivity heat transfer models and calculation formulae.
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Received: 18 January 2024
Revised: 16 April 2024
Accepted manuscript online: 06 May 2024
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PACS:
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44.30.+v
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(Heat flow in porous media)
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64.70.qd
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(Thermodynamics and statistical mechanics)
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51.30.+i
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(Thermodynamic properties, equations of state)
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61.43.-j
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(Disordered solids)
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Fund: This project is supported by the National Natural Science Foundation of China (Grant Nos. 51764046 and 52160013), the Inner Mongolia Autonomous Region Postgraduate Research Innovation Project of China (Grant No. S20231165Z),and the Research Program of Science and Technology at Universities of Inner Mongolia Autonomous Region of China (Grant Nos. 2023RCTD016 and 2024RCTD008). |
Corresponding Authors:
Kuncan Zheng
E-mail: zhengkunchan@hotmail.com
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Cite this article:
Kuncan Zheng(郑坤灿), Zhendong Li(李震东), Yutong Cao(曹豫通), Ben Liu(刘犇)), and Junlei Hu(胡君磊) Theoretical study on the effective thermal conductivity of silica aerogels based on a cross-aligned and cubic pore model 2024 Chin. Phys. B 33 064401
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[1] Akhter F, Soomro S A and Inglezakis V J 2021 Journal of Porous Materials 28 1387 [2] Fang Y and Li B 2022 Shanghai Plastics 50 14 [3] Malfait W J, Wernery J, Zhao S, Brunner S and Koebel M M 2021 Encyclopedia of Glass Science, Technology, History, and Culture (Westerville: The American Ceramic Society) pp. 981-989 [4] Fu Z Y, Corker J, Papathanasiou T, Wang Y X, Zhou Y H, Madyan O A, Liao F Y and Fan M Z 2022 Journal of Building Engineering 57 104814 [5] Bi C, Tang G H and Tao W Q 2012 Journal of Non-Crystalline Solids 358 3124 [6] Zeng S Q, Hunt A and Greif R 1995 Journal of Non-Crystalline Solids 186 271 [7] Shi Y C 2011 Mechanism and Characteristics of Heat Conduction in Nano-insulation Material (MS dissertation) (Harbin: Harbin Institute of Technology) (in Chinese) [8] Good B S 2006 Symposium on the Hydrogen Cycle held at the 2005 MRS Fall Meeting, November 28-December 02, 2005, Boston, USA, p. 227 [9] Xie T, He Y L and Hu Z J 2013 International Journal of Heat and Mass Transfer 58 540 [10] Wei G S, Liu Y S, Zhang X X, Yu F and Du X Z 2011 International Journal of Heat and Mass Transfer 54 2355 [11] Dan D, Zhang H and Tao W Q 2014 Applied Thermal Engineering 72 2 [12] Cimavilla-Román P, Pérez-Tamarit S, Santiago-Calvo M and Rodríguez-Peréz M A 2020 European Polymer Journal 135 109884 [13] Zeng S Q, Hunt A and Greif R 1995 Journal of Heat Transfer 117 758 [14] Chen G 1996 Journal of Heat Transfer 118 539 [15] Wang B X, Zhou L P and Peng X F 2003 International Journal of Heat and Mass Transfer 46 2665 [16] Daryabeigi K 2003 Journal of Thermophysics and Heat Transfer 17 10 [17] Siegel R, Howell J R and Mengüç M P 2010 Thermal Radiation Heat Transfer, 5nd edn. (Boca Raton: CRC Press) pp. 817-827 [18] Wei G, Zhang Y, Xu C, Du X and Yang Y 2017 International Journal of Heat and Mass Transfer 108 1297 [19] Shen J, Zhou B, Wu G M, Deng Z S, Ni X Y and Wang J 2002 The Chinese Journal of Process Engineering 2 341 [20] Bisson A, Rigacci A, Lecomte D and Achard P 2004 Journal of NonCrystalline Solids 350 379 [21] Huang C 2021 Preparation and Investigation of Nanoporous Super Thermal Insulation: Silica Aerogels (MS dissertation) (Beijing: North China Electric Power University) (in Chinese) [22] Wang L X 2017 Study of Gaseous Conductivity Variation on Nanoporous Silica Aerogel Thermal Insulation Materials (MS dissertation) (Beijing: North China Electric Power University) (in Chinese) |
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