TY - JOUR
T1 - 3D reconstruction and nanoscale simulation of boron/silicon modified phenolic matrix using FIB-SEM imaging and lattice Boltzmann models
AU - Zheng, Qiang
AU - Wang, Xuenan
AU - Xu, Qianghui
AU - Shao, Yi
AU - Yang, Junyu
AU - Li, Maoyuan
AU - Ji, Sudong
AU - Hao, Fuchao
AU - Du, Juan
AU - Shen, Jun
N1 - Publisher Copyright:
© 2025 Elsevier Ltd
PY - 2025/11/1
Y1 - 2025/11/1
N2 - Fiber-reinforced phenolic composites are essential for thermal protection in hypersonic vehicles. However, the mechanisms governing their nanoscale pores, particle networks and heat transfer remain insufficiently understood for various modified phenolic. This study systematically investigated boron- (B-Ph) and silicon-modified (Si-Ph) phenolic matrices, focusing on their synthesis, chemical composition, and thermomechanical properties. The nanoscale morphology was analyzed using two-dimensional scanning electron microscopy (SEM) and three-dimensional focused ion beam-scanning electron microscopy (FIB-SEM), while a diffusion-limited cluster–cluster aggregation (DLCA) algorithm reconstructed realistic structures. A lattice Boltzmann model incorporating Knudsen effects predicted thermal conductivity. Results indicate that boric acid modification increases crosslinking density, yielding denser particle packing and narrower pore distribution, whereas silane modification forms a finer gel network with broader pores. This more complex nanoscale morphology of Si-Ph samples requires a larger bulk representative elementary volume of 4 × 4 × 5.04 սm (400 voxels) for accurate thermal conductivity estimation, compared to 1.78 × 2.04 × 2.1 սm (200 voxels) for B-Ph samples. Compared to the FIB-SEM imaging, structural models generated by the DLCA approach yielded porosity and pore size distributions in better agreement with experimental observations, enabling accurate prediction of effective thermal conductivity while significantly reducing experimental and computational demands. Simulation results revealed that smaller mean pore sizes intensify the influence of Knudsen diffusion, thereby rendering pore size a dominant parameter in thermal transport. These findings offer a mechanistic understanding of nanostructure-governed thermal conductivity in modified phenolic resins and provide guidance for the design of advanced thermal protection materials.
AB - Fiber-reinforced phenolic composites are essential for thermal protection in hypersonic vehicles. However, the mechanisms governing their nanoscale pores, particle networks and heat transfer remain insufficiently understood for various modified phenolic. This study systematically investigated boron- (B-Ph) and silicon-modified (Si-Ph) phenolic matrices, focusing on their synthesis, chemical composition, and thermomechanical properties. The nanoscale morphology was analyzed using two-dimensional scanning electron microscopy (SEM) and three-dimensional focused ion beam-scanning electron microscopy (FIB-SEM), while a diffusion-limited cluster–cluster aggregation (DLCA) algorithm reconstructed realistic structures. A lattice Boltzmann model incorporating Knudsen effects predicted thermal conductivity. Results indicate that boric acid modification increases crosslinking density, yielding denser particle packing and narrower pore distribution, whereas silane modification forms a finer gel network with broader pores. This more complex nanoscale morphology of Si-Ph samples requires a larger bulk representative elementary volume of 4 × 4 × 5.04 սm (400 voxels) for accurate thermal conductivity estimation, compared to 1.78 × 2.04 × 2.1 սm (200 voxels) for B-Ph samples. Compared to the FIB-SEM imaging, structural models generated by the DLCA approach yielded porosity and pore size distributions in better agreement with experimental observations, enabling accurate prediction of effective thermal conductivity while significantly reducing experimental and computational demands. Simulation results revealed that smaller mean pore sizes intensify the influence of Knudsen diffusion, thereby rendering pore size a dominant parameter in thermal transport. These findings offer a mechanistic understanding of nanostructure-governed thermal conductivity in modified phenolic resins and provide guidance for the design of advanced thermal protection materials.
KW - Effective thermal conductivity
KW - FIB-SEM
KW - Lattice Boltzmann method
KW - Modified phenolic matrix
KW - Three-dimensional nanoscale morphology
UR - http://www.scopus.com/pages/publications/105010491859
U2 - 10.1016/j.applthermaleng.2025.127472
DO - 10.1016/j.applthermaleng.2025.127472
M3 - Article
AN - SCOPUS:105010491859
SN - 1359-4311
VL - 278
JO - Applied Thermal Engineering
JF - Applied Thermal Engineering
M1 - 127472
ER -