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Thermal rectification effect refers to an asymmetric heat transfer phenomenon (namely, the amount of heat flux depends on the direction of temperature gradient). A two-segment bar made of two materials that have thermal conductivities with different temperature-dependence, can realize the thermal rectification effect. In the present paper, we propose to use porous structure on the bulk material to modify the thermal conductivity of bulk material. It is found that the thermal rectification effect can be enhanced by the porous structure. The finite element method and effective medium approximation are used to analyze the influence of porosity on the thermal rectification ratio of the two-segment system. The calculation results are consistent with each other. Under low temperature bias, the effect of the porosity is weak, while its influence becomes very significant when the temperature difference is high. Usually, thermal rectification ratio decreases if the porous structure is made on the segment whose thermal conductivity increases with temperature increasing. If the porous structure is made on the segment with negative temperature-dependent thermal conductivity, an optimal porosity can be found. For low porosity, the forward heat flux keeps almost unchanged while the reverse heat flux decreases by more than half, and the thermal rectification ratio can be increased to twice or more than thrice that in the case of no porous structure. For a fixed temperature difference, the influence of porosity on the thermal rectification ratio increases with the augment of the power exponent value.
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Keywords:
- thermal rectification /
- thermal conductivity /
- porous media /
- effective medium approximation
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图 1 两段式复合体材料热整流系统示意图
Figure 1. Schematic diagram of the two-segment thermal rectifier.
图 2 (α1, α2)=(+3, –3)时, 正反热流量及热整流系数随无量纲温差的变化趋势
Figure 2. For the case of (α1, α2)=(+3, –3), the heat flux and thermal rectification ratio versus the dimensionless temperature difference.
图 3 |Δ| = 1.5时, 正反模式下热整流器内部的温度分布和局域热导率分布
Figure 3. For the case of |Δ| = 1.5, temperature and local thermal conductivity distribution under forward and reverse cases.
图 4 (a) 材料1中的多孔结构; (b) 热整流系数(左)及正反热流(右)随材料1或材料2孔隙率f的变化趋势
Figure 4. (a) Schematic diagram of the porous structure of the thermal rectifier (drill on segment 1); (b) thermal rectification ratio (left) and heat flux (right) versus porosity.
图 5 两段式体材料热整流器内的热阻分布 (a) 正向模式; (b) 反向模式
Figure 5. Local thermal resistance distribution in two-segment thermal rectifier: (a) Forward case; (b) reverse case.
图 6 (α1, α2) = (+3, –3)时, (a) 不同温差下热整流系数随孔隙率的变化趋势, (b) 不同温差下无孔热整流系数和有孔最佳热整流系数及对应孔隙率
Figure 6. For the case of (α1, α2) = (+3, –3), (a) thermal rectification ratio versus porosity under different dimensionless temperature differences, (b) thermal rectification ratio without porous structure and the optimal thermal rectification ratio under different dimensionless temperature differences.
图 7 |Δ| = 1.5时, (a) 改变幂指数大小和 (b) 改变幂指数组合时, 热整流系数随孔隙率的变化趋势
Figure 7. For the case of |Δ| = 1.5, thermal rectification ratio versus porosity under (a) different magnitude of the power exponent and (b) different combination of power exponent.
图 8 |Δ| = 1.5时, 不同孔隙率下, 热辐射对热整流系数的影响
Figure 8. For the case of |Δ| = 1.5, thermal rectification ratio versus porosity under ε = 0 and ε = 1.
图 9 热整流系数(左)及正反热流(右)随铍镁合金或金属锌孔隙率f的变化趋势
Figure 9. Thermal rectification ratio (left) and heat flux (right) versus porosity in a Be & Mg alloy-Zn two-segment system.
图 10 多孔介质模型示意图(均匀分布10 × 15个圆形孔)
Figure 10. Schematic diagram of porous media (10 × 15 circular holes are uniformly distributed).
图 11 (a) 多孔介质有效热导率随孔隙率的变化关系; (b) |Δ| = 1.5时, EMA与FEM计算所得热流与孔隙率的变化关系
Figure 11. (a) The relationship between the effective thermal conductivity of the porous medium and the porosity; (b) the comparison of the heat flux calculated by EMA and FEM for the case of |Δ| = 1.5.
图 12 |Δ| = 1.5时, EMA与FEM计算所得热整流系数随材料1或材料2孔隙率的变化趋势
Figure 12. Comparison of the thermal rectification ratio calculated by EMA and FEM for the case of |Δ| = 1.5.
图 13 热整流系数随热导率参数比值的变化趋势
Figure 13. Thermal rectification ratio versus thermal conductivity parameter ratio.
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[1] Roberts N A, Walker D G 2011 Inter. J. Therm. Sci. 50 648
Google Scholar
[2] Wehmeyer G, Yabuki T, Monachon C, Wu J, Dames C 2017 Appl. Phys. Rev. 4 041304
Google Scholar
[3] Li N, Ren J, Wang L, Zhang G, Hänggi P, Li B 2012 Rev. Mod. Phys. 84 1045
Google Scholar
[4] Varga S, Oliveira A C, Afonso C F 2002 Energy and Buildings 34 227
Google Scholar
[5] Kuo D M T, Chang Y C 2010 Phys. Rev. B 81 205321
Google Scholar
[6] Wang L, Li B 2007 Phys. Rev. Lett. 99 177208
Google Scholar
[7] Paolucci F, Marchegiani G, Strambini E, Giazotto F 2018 Phys. Rev. Appl. 10 024003
Google Scholar
[8] Dames C 2009 J. Heat Trans. 131 061301
Google Scholar
[9] Henry A, Prasher R, Majumdar A 2020 Nat. Energy 5 635
Google Scholar
[10] Starr C 1935 J. Appl. Phys. 7 15
[11] Rogers G F C 1961 Intern. J. Heat Mass Tran. 2 150
Google Scholar
[12] Somers R R, Fletcher L S, Flack R D 1987 AIAA J. 25 620
Google Scholar
[13] Wang H, Hu S, Takahashi K, Zhang X, Takamatsu H, Chen J 2017 Nat. Commun. 8 15843
Google Scholar
[14] Yang N, Zhang G, Li B 2009 Appl. Phys. Lett. 95 033107
Google Scholar
[15] 李威, 冯妍卉, 唐晶晶, 张欣欣 2013 62 076107
Google Scholar
Li W, Feng Y H, Tang J J, Zhang X X 2013 Acta Phys. Sin. 62 076107
Google Scholar
[16] 鞠生宏, 梁新刚 2013 62 026101
Google Scholar
Ju S H, Liang X G 2013 Acta Phys. Sin. 62 026101
Google Scholar
[17] 温家乐, 徐志成, 古宇, 郑冬琴, 钟伟荣 2015 64 216501
Google Scholar
Wen J L, Xu Z C, Gu Y, Zheng D Q, Zhong W R 2015 Acta Phys. Sin. 64 216501
Google Scholar
[18] Li B, Wang L, Casati G 2004 Phys. Rev. Lett. 93 184301
Google Scholar
[19] Hoff H 1985 Physica A:Stat. Mech. Appl. 131 449
Google Scholar
[20] Hu B, He D, Yang L, Zhang Y 2006 Phys. Rev. E 74 060201
[21] Go D, Sen M 2010 J. Heat Trans. 132 124502
Google Scholar
[22] Herrera F A, Luo T, Go D B 2017 J. Heat Trans. 139 091301
Google Scholar
[23] 朱玉鑫, 王珏, 罗爽, 王军, 夏国栋 2016 中国科学: 技术科学 46 175
Google Scholar
Zhu Y X, W Y, Luo S, Wang J, Xia G D 2016 Sci. Sin. Tech. 46 175
Google Scholar
[24] 赵建宁, 刘冬欢, 魏东, 尚新春 2020 69 056501
Google Scholar
Zhao J N, Liu D H, Wei D, Shang X C 2020 Acta Phys. Sin. 69 056501
Google Scholar
[25] Sawaki D, Kobayashi W, Moritomo Y, Terasaki I 2011 Appl. Phys. Lett. 98 081915
Google Scholar
[26] Kobayashi W, Teraoka Y, Terasaki I 2009 Appl. Phys. Lett. 95 171905
Google Scholar
[27] Yang Y, Chen H, Wang H, Li N, Zhang L 2018 Phys. Rev. E 98 042131
[28] Ren J, Zhu J X 2013 Phys. Rev. B 87 241412
[29] Li B, Lan J, Wang L 2005 Phys. Rev. Lett. 95 104302
Google Scholar
[30] Kang H, Yang F, Urban J 2018 Phys. Rev. Appl. 10 024034
Google Scholar
[31] Zhao J, Wei D, Gao A, Dong H, Bao Y, Jiang Y, Liu D 2020 Appl. Thermal Engineering 176 115410
Google Scholar
[32] Kasali S O, Ordonez-Miranda J, Joulain K 2020 Inter. J. Heat and Mass Transfer 154 119739
Google Scholar
[33] Zhu W, Wu G, Chen H, Ren J 2018 Frontiers in Energy Research 6 9
Google Scholar
[34] 王子, 张丹妹, 任捷 2019 68 220302
Google Scholar
Wang Z, Zhang D M, Ren J 2019 Acta Phys. Sin. 68 220302
Google Scholar
[35] Garnett J 1904 Philos. Trans. R. Soc. London 203 385
Google Scholar
[36] Bruggeman D A G 1935 Annalen der Physik 416 636
Google Scholar
[37] Levy O, Stroud D 1997 Phys. Rev. B 56 8035
Google Scholar
[38] Huang J P, Yu K W 2006 Physics Reports 431 87
Google Scholar
[39] Gu G, Yu K W, Hui P M 1998 Phys. Rev. B 58 3057
Google Scholar
[40] Dai G, Huang J 2020 Intern. J. Heat and Mass Transfer 147 118917
Google Scholar
[41] Touloukian Y S, Powell R W, Ho C Y, Klemens P 1970 Thermophysical Properties of Matter—The TPRC Data Series. (Vol.1) New York, pp1–1595
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