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The discontinuous finite element method (DFEM) is used to investigate the coupled radiation-conduction heat transfer in an irregular medium, and the highly accurate solutions for several typical media are numerically obtained. Comparing with the traditional continuous finite element method, the computational domain in the DFEM application is discretized into unstructured meshes that are assumed to be separated from each other. The shape function construction, field variable approximation, and numerical solutions are obtained for every single element. The continuity of the computational domain is maintained by modeling a numerical flux with the up-winding scheme. Thus the DFEM has the salient feature of geometry flexibility and simultaneously supports locally conservative solutions. The DFEM discretization for the radiative transfer equation and the energy diffusion equation are first presented, and the accuracies of the DFEM for coupled radiation-conduction heat transfer problems are verified. Combined radiation-conduction heat transfer problems in several irregular media are afterward solved, and the highly accurate DFEM solutions are presented.
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Keywords:
- radiation-conduction /
- coupled heat transfer /
- numerical simulation /
- discontinuous finite element method
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Google Scholar
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图 1 (a)空间网格; (b)相邻单元间数值通量示意图
Figure 1. (a) Spatial mesh; (b) sketch of numerical flux across the adjacent elements.
图 2 方形介质对称线x/L = 0.5上无量纲温度T/Tb分布 (a)不同空间网格划分; (b)不同角度划分
Figure 2. Dimensionless temperature T/Tb along the symmetry line x/L = 0.5 for the cases: (a) Different spatial discretization schemes; (b) different angular discretization schemes.
图 3 方形介质对称线x/L = 0.5上无量纲温度的DFEM结果和DTM结果对比 (a)不同普朗克数; (b)不同散射反照率
Figure 3. Comparison of dimensionless temperature along the square medium symmetry line x/L = 0.5 obtained by DFEM and DTM for the cases: (a) Different Planck numbers; (b) different scattering albedos.
图 4 不同数值方法得到的方形介质对称线上的无量纲温度对比
Figure 4. Comparison of dimensionless temperature along the square medium symmetry line x/L = 0.5 obtained by different numerical methods.
图 5 内含圆形热壁面的半圆形介质 (a)结构示意图; (b)网格划分
Figure 5. Semicircle medium with an inner circle hot boundary: (a) Geometry sketch; (b) spatial discretization.
图 6 不同数值方法得到的半圆介质对称线上温度分布 (a) y = [0.0, 0.2]; (b) y = [0.6, 1.0]
Figure 6. Temperature distributions along the symmetric line of the semicircle medium obtained by different numerical algorithms: (a) y = [0.0, 0.2]; (b) y = [0.6, 1.0].
图 7 不同普朗克数条件下半圆介质底边上总热流密度分布 (a) Npl = 0.1, (b) Npl = 1.0
Figure 7. Total flux distributions along the bottom boundary of the semicircle medium under the situations with different Plank numbers: (a) Npl = 0.1; (b) Npl = 1.0.
图 8 内含圆形热边界的非规则形状介质 (a)结构示意图; (b)网格划分
Figure 8. Irregular medium with an inner hot boundary: (a) Geometry sketch; (b) spatial discretization.
图 9 (a)普朗克数Npl = 0.1和1.0时内含圆形热边界的非规则形状介质中线上温度分布; (b) Npl = 0.1时介质温度分布; (c) Npl = 1.0时介质温度分布
Figure 9. (a) Temperature distributions along the centerline of the irregular medium with an inner hot boundary; (b) temperature distribution within the computation domain for the case of Npl = 0.1; (c) temperature distribution within the computation domain for the case of Npl = 1.0.
图 10 内含两个圆形热边界的矩形介质 (a)结构示意图; (b)网格划分
Figure 10. The medium the square medium with two circular hot boundaries: (a) Geometry sketch; (b) spatial discr etization.
图 11 (a)普朗克数Npl = 0.1和1.0时内含两个圆形热边界的矩形介质中线上温度分布; (b) Npl = 0.1时介质温度分布; (c) Npl = 1.0时介质温度分布
Figure 11. (a) Temperature distributions along the centerline of the square medium with two circular hot boundaries; (b) temperature distribution within the computation domain for the case of Npl = 0.1; (c) temperature distribution within the computation domain for the case of Npl = 1.0
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[1] Viskanta R 1965 J. Heat Transf. 87 143
Google Scholar
[2] Viskanta R, Incropera F P 1985 J. Sol. Energy Eng. 107 29
Google Scholar
[3] Wang P Y, Tan H P, Liu L H, Tong T W 2000 J. Thermophys. Heat Transf. 14 512
Google Scholar
[4] Zhang J Q, Nie L R, Chen C Y, Zhang X Y 2016 AIP Adv. 6 075212
Google Scholar
[5] Chen R Y, Pan W L, Zhang J Q, Nie L R 2016 Chaos 26 093113
Google Scholar
[6] Chen R Y, Tong L M, Nie L R, Wang C J, Pan W L 2017 Physica A 468 532
Google Scholar
[7] 李树, 李刚, 田东风, 邓力 2013 62 249501
Google Scholar
Li S, Li G, Tian D F, Deng L 2013 Acta Phys. Sin. 62 249501
Google Scholar
[8] Sun B, Wang H, Sun X B, Hong J, Zhang Y J 2012 Chin. Phys. B 21 129501
Google Scholar
[9] Chen R Y, Nie L R, Chen C Y, Wang C J 2017 J. Stat. Mech.- Theory Exp. 013201
Google Scholar
[10] Chen R Y, Nie L R, Chen C Y 2018 Chaos 28 053115
Google Scholar
[11] 梁子长, 金亚秋 2003 52 1319
Google Scholar
Liang Z C, Jin Y Q 2003 Acta Phys. Sin. 52 1319
Google Scholar
[12] Ben X, Yi H L, Tan H P 2014 Chin. Phys. B 23 099501
Google Scholar
[13] 赵军明 2007 博士学位论文 (哈尔滨: 哈尔滨工业大学)
Zhao J M 2007 Ph. D. Dissertation (Harbin: Harbin Institute of Technology) (in Chinese)
[14] 赵军明, 刘林华 2007 化工学报 58 1110
Zhao J M, Liu L H 2007 J. Chem. Ind. Eng. 58 1110
[15] 胡帅, 高太长, 刘磊, 易红亮, 贲勋 2015 64 094201
Google Scholar
Hu S, Gao T C, Liu L, Yi H L, Ben X 2015 Acta Phys. Sin. 64 094201
Google Scholar
[16] Wang C H, Yi H L, Tan H P 2017 J. Quant. Spectrosc. Radiat. Transf. 189 383
Google Scholar
[17] 高效伟, 王静, 崔苗 2011 中国科学: 物理学 力学 天文学 41 302
Google Scholar
Gao X W, Wang J, Cui M 2011 Sci. Sin. Phys. Mech. Astron. 41 302
Google Scholar
[18] 孙杰 2016 博士学位论文 (哈尔滨: 哈尔滨工业大学)
Sun J 2016 Ph. D. Dissertation (Harbin: Harbin Institute of Technology) (in Chinese)
[19] Wang C H, Feng Y Y, Yue K, Zhang X X 2019 Int. Commun. Heat Mass Transf. 108 104287
Google Scholar
[20] Sun Y J, Zheng S Jiang B, Tang J C, Liu F S 2019 Int. J. Heat Mass Transf. 145 118777
Google Scholar
[21] Tan J Y, Liu L H, Li B X 2006 Numer. Heat Transf. Part B-Fundam. 49 179
Google Scholar
[22] Wang C H, Qu L, Zhang Y, Yi H L 2018 J. Quant. Spectrosc. Radiat. Transf. 208 108
Google Scholar
[23] Liu L H, Tan J Y, Li B X 2006 J. Quant. Spectrosc. Radiat. Transf. 101 237
Google Scholar
[24] Wang C H, Feng Y Y, Ben X, Yue K, Zhang X X 2019 Opt. Express 27 A981
Google Scholar
[25] Sun S C, Wang G J, Chen H, Zhang D Q 2019 Int. J. Heat Mass Transf. 134 574
Google Scholar
[26] Zheng S, Yang Y, Zhou H 2019 Int. J. Heat Mass Transf. 129 1232
Google Scholar
[27] 张克瑾, 刘磊, 曾庆伟, 高太长, 胡帅, 陈鸣 2019 68 194207
Google Scholar
Zhang K J, Liu L, Zeng Q W, Gao T C, Hu S, Chen M 2019 Acta Phys. Sin. 68 194207
Google Scholar
[28] Mishra S C, Krishna C H, Kim M Y 2011 Numer. Heat Transf. Part A-Appl. 60 254
Google Scholar
[29] Mishra S C, Roy H K 2007 J. Comput. Phys. 223 89
Google Scholar
[30] Howell J R, Menguc M P 2018 J. Quant. Spectrosc. Radiat. Transf. 221 253
Google Scholar
[31] Zabihi M, Lari K, Amiri H 2017 J. Braz. Soc. Mech. Sci. Eng. 39 2847
Google Scholar
[32] Hesthaven J S, Warburton T 2007 Nodal Discontinuous Galerkin Methods: Algorithms, Analysis, and Applications (New York: Springer Science & Business Media)
[33] Cui X, Li B Q 2005 J. Quant. Spectrosc. Radiat. Transf. 96 383
Google Scholar
[34] Liu L H, Liu L J 2007 J. Quant. Spectrosc. Radiat. Transf. 105 377
Google Scholar
[35] 王存海, 易红亮, 谈和平 2017 工程热 38 833
Wang C H, Yi H L, Tan H P 2017 J. Eng. Thermophys. 38 833
[36] Wang C H, Yi H L, Tan H P 2017 Appl. Opt. 56 1861
Google Scholar
[37] Wang C H, Yi H L, Tan H P 2017 Opt. Express 25 14621
Google Scholar
[38] Feng Y Y, Wang C H 2018 Int. J. Heat Mass Transf. 126 783
Google Scholar
[39] Mishra S C, Talukdar P, Trimis D, Durst F 2003 Int. J. Heat Mass Transf. 46 3083
Google Scholar
[40] Sun Y, Zhang X 2018 Int. J. Heat Mass Transf. 121 1039
Google Scholar
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