介观物理学
材料科学
热导率
复合材料
热传导
保温
传热
热的
聚氨酯
热流密度
导电体
热能储存
管道保温
细胞结构
绝缘系统
传热系数
蒙特卡罗方法
电导率
热扩散率
作者
Guowei Ma,Chenglong Fan,Panpan Xie,YuLiang Zhang,Yun Chen
标识
DOI:10.1016/j.conbuildmat.2025.145073
摘要
Lightweight and highly insulating rigid polyurethane foams (RPUF) play a vital role in LNG storage, where low thermal conductivity is essential under cryogenic conditions. In this study, a novel cell adaptive-growth model (CAM) was proposed to replicate the natural foaming behavior of RPUF. This model simulates the random nucleation, expansion, and interaction of cells with fully controllable parameters, including average cell size, wall thickness, and the statistical distribution of cell diameters—capturing the stochastic nature of real foam structures. Based on the generated mesoscopic geometries, a comprehensive numerical study is conducted to evaluate the influence of cell morphology on macroscopic insulation performance under coupled conductive and radiative heat transfer conditions. The results reveal that larger average cell sizes and thinner wall structures significantly increase the effective thermal conductivity (ETC) of RPUF. In contrast, nonuniformity in cell size affects only local heat flux distribution without compromising bulk thermal performance due to structural homogenization. At cryogenic temperatures (The operating temperature of LNG storage tanks is 110 K), conduction dominates the heat transfer process, and wall thickness becomes the most critical design parameter. Finally, a cell morphology-based ETC model is established using numerical results to predict thermal conductivity across various mesostructures. This model offers a reliable theoretical framework for the precise thermal design and performance optimization of RPUF insulation systems, especially for underground LNG storage applications under extreme conditions. • A cell adaptive-growth model is proposed to reconstruct mesoscopic RPUF geometry. • The effects of cell geometric properties on ETC are analyzed with low temperatures. • A cell morphology-based ETC model is proposed to evaluate RPUF’s thermal insulation.
科研通智能强力驱动
Strongly Powered by AbleSci AI