Prediction Model of Thermal Conductivity of Foam Slurry Thermal Insulation Materials

Thermal conductivity is a crucial parameter governing material thermal properties. To investigate the gas-solid-coupled effective thermal conductivity of foamed slurry insulation materials, this study combined a resistance-network model with fractal theory to propose a computational model for thermal conductivity of waste-derived foamed slurry insulation materials, which was validated through material preparation and experimental testing. The results demonstrate that: when the fractal dimension is specified to two decimal places, the computational deviation is less than 5 %; the series-parallel-fractal model with a fractal dimension of 2.96 can effectively predict the thermal conductivity of foamed slurry insulation materials; the increase in liquid water content significantly influences thermal conductivity, and the combined increase in moisture content and liquid water content leads to a marked increase in the material's thermal conductivity. This not only confirms the accuracy of the series-parallel-fractal model for calculating the thermal conductivity of solid-liquid-gas composite materials, but also enables further determination of the gas- and liquid-phase contents within the insulation material.