[1] Li S.K., Liu B., Jia X., Xu M., Zong R.Y., Liu G.H., Huai X.L., Optimization of thermal conductivity of alumina-filled composites by numerical simulations. Journal of Thermal Science, 2023, 32(4): 1569–1582.
[2] Fang Z.N. Li M., Wang S.K., Gu Y.Z., Li Y.X., Zhang Z.G., Through-thickness thermal conductivity enhancement of carbon fiber composite laminate by filler network. International Journal of Heat and Mass Transfer, 2019, 137: 1103–1111.
[3] Yang D.D., Dong S., Hong C.Q., Zhang X.H., Preparation, modification, and coating for carbon-bonded carbon fiber composites: A review. Ceramics International, 2022, 48: 14935–14958.
[4] Oluwalowo A., Nguyen N., Zhang S.L., Park J.G., Liang R., Electrical and thermal conductivity improvement of carbon nanotube and silver composites. Carbon, 2019, 146: 224–231.
[5] Wang H., Ji R.T., Qu F., Bai J.Q., Fu Q.G., Li H.J., Three-dimensional pore-scale study of the directional heat transfer in a high thermal conductivity carbon/carbon composite protection system. Aerospace Science and Technology, 2021, 112: 106609.
[6] Feng G.H., Li H.J., Yao X.Y., Sun J., Jia Y.J., An optimized strategy toward multilayer ablation coating for SiC-coated carbon/carbon composites based on experiment and simulation. Journal of the European Ceramic Society, 2022, 42: 3802–3811.
[7] Gao Y., Zha B.L., Wang J.J., Sun Z.S., Zheng R., Wang L.L., Ablation mechanism of carbon/carbon composites in internal flow field comprising supersonic multiphase flow coupled with ground simulation supersonic ablation. Journal of the European Ceramic Society, 2023, 43: 5136–5147.
[8] Wang H., Qu Z.G., Yin Y., Zhang J.F., Ming P.W., Thermal management for hydrogen charging and discharging in a screened metal-organic framework particle tank. ACS Applied Materials and Interfaces, 2021, 13(51): 61838–61848.
[9] Golparvar A., Zhou Y.F., Wu K.J., Ma J.S., Yu Z.X., A comprehensive review of pore scale modeling methodologies for multiphase flow in porous media. Advances in Geo-Energy Research, 2018, 4(2): 115–125.
[10] Wang H.X., Gong J.X., Pei Y.M., Xu Z.P., Thermal transfer in graphene-interfaced materials: contact resistance and interface engineering. ACS Applied Materials & Interfaces, 2013, 5(7): 2599–2603.
[11] Gardea F., Naraghi M., Lagoudas D., Effect of thermal interface on heat flow in carbon nanofiber composites. ACS Applied Materials & Interfaces, 2014, 6(2): 1061–1072.
[12] Korichi A., Oufer L., Numerical heat transfer in a rectangular channel with mounted obstacles on upper and lower walls. International Journal of Thermal Sciences, 2005, 44(7): 644–655.
[13] Zhu Y.X., Qiu Y., Comparison of thermal performance between annular fins and longitudinal fins in latent heat storage unit. Journal of Thermal Science, 2023, 32(3): 1227–1238.
[14] Fang W.Z., Gou J.J., Zhang H., Kang Q.J., Tao W.Q., Numerical predictions of the effective thermal conductivity for needled C/C-SiC composite materials. Numerical Heat Transfer, Part A: Applications, 2016, 70: 1101–1117.
[15] Chao X.J., Qi L.H., Cheng J., Tian W.L., Zhang S.Y., Li H.J., Numerical evaluation of the effect of pores on effective elastic properties of carbon/carbon composites. Composite Structures, 2018, 196: 108–116.
[16] Luts J., Ojeda F., Plas R.V., Moor B.D., Huffel S.V., Suykens J.A.K., A tutorial on support vector machine-based methods for classification problems in chemometrics. Analytica Chimica Acta, 2010, 665: 129–145.
[17] Tian P.J., Liu X.J., Luo K.Y., Li H.K., Wang Y., Deep learning from three-dimensional multiphysics simulation in operational optimization and control of polymer electrolyte membrane fuel cell for maximum power. Applied Energy, 2021, 288: 116632.
[18] Wang J., Zhou J.H., Zhao W.Z., Deep reinforcement learning based energy management strategy for fuel cell/battery/supercapacitor powered electric vehicle. Green Energy and Intelligent Transportation, 2022, 1(2): 100028.
[19] Zhou Z.Y., Liu Y.G., You M.X., Xiong R., Zhou X., Two-stage aging trajectory prediction of LFP lithium-ion battery based on transfer learning with the cycle life prediction. Green Energy and Intelligent Transportation, 2022, 1(1): 100008.
[20] Wang H., Wang Z.L., Qu Z.G., Zhang J.F., Deep-learning accelerating topology optimization of three-dimensional coolant channels for flow and heat transfer in a proton exchange membrane fuel. Applied Energy, 2023, 352: 121889.
[21] Rong Q.Y., Wei H., Huang X.Y., Bao H., Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods. Composites Science and Technology, 2019, 184: 107861.
[22] Wang M.R., Pan N., Modeling and prediction of the effective thermal conductivity of random open-cell porous foams. International Journal of Heat and Mass Transfer, 2008, 51: 1325–1331.
[23] Moze M., Nemanic A., Poredos P., Experimental and numerical heat transfer analysis of heat-pipe-based CPU coolers and performance optimization methodology. Applied Thermal Engineering, 2020, 179: 115720.
[24] Wang H., Chen L., Qu Z.G., Yin Y., Kang Q., Yu B., Tao W.Q., Modeling of multi-scale transport phenomena in shale gas production - A critical review. Applied Energy, 2020, 262: 114575.
[25] Zhao K., Li Q., Xuan Y.M., Investigation on the three-dimensional multiphase conjugate conduction problem inside porous wick with the lattice Boltzmann method. Science in China Series E: Technological Sciences, 2009, 52: 2973–2980.
[26] Wang M.R., Wang J., Pan N., Chen S., Mesoscopic predictions of the effective thermal conductivity for microscale random porous media. Physical Review E, 2007, 75: 036702.
[27] Karani H., Huber C., Lattice Boltzmann formulation for conjugate heat transfer in heterogeneous media. Physical Review E, 2015, 91 (2): 023304.
[28] Zou Q.S., He X.Y., On pressure and velocity boundary conditions for the lattice Boltzmann BGK model. Physics of Fluids, 1997, 9: 591–1598.
[29] Thompson J.R., Irwin J.L., Kruger O.L., Alexander C.A., Thermal properties of carbon Re-entry materials to 3000 degree C. American Ceramic Society Bulletin, 1972, 51(4): 424–444.
[30] Shao H.C., Liu G.W., Qiao G.J., Xiao Z.C., Zhao D.M., Peng Z.G., Hou W.Q., Sun J.M., Factors affecting thermal conductivity of low-density carbon/carbon insulation materials. Journal of Material Science and Engineering, 2013, 31(5): 627–631.
[31] Zhang B., Li X.D., Numerical simulation of thermal response and ablation behavior of a hybrid carbon/carbon composite. Applied Composite Materials, 2018, 25(3): 675–688.
[32] Manocha L.M., Warrier A., Manocha S., Sathiyamoorthy D., Banerjee S., Thermophysical properties of densified pitch based carbon/carbon materials-II. Bidirectional composites. Carbon, 2006, 44: 488–495.
[33] Zhang X.W., Ning S.L., Ma Z. K., Song H.H., Wang D. L., Zhang M., Fan B.L., Zhang S., Yan X., The structural properties of chemically derived graphene nanosheets/ mesophase pitch-based composite carbon fibers with high conductivities. Carbon, 2020, 156: 499–505.
[34] Deb K., Pratap A., Agarwal S., Meyarivan T., A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182–197.
[35] Wu J.W., Sung W.F., Chu H.S., Thermal conductivity of polyurethane foam. International Journal of Heat and Mass Transfer, 1999, 42: 2211–2217.
