Numerical predictions of the effective thermal conductivity of the rigid polyurethane foam

Wenzhen Fang , Yuqing Tang , Hu Zhang , Wenquan Tao

Journal of Wuhan University of Technology Materials Science Edition ›› 2017, Vol. 32 ›› Issue (3) : 703 -708.

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Journal of Wuhan University of Technology Materials Science Edition ›› 2017, Vol. 32 ›› Issue (3) : 703 -708. DOI: 10.1007/s11595-017-1655-1
Organic Materials

Numerical predictions of the effective thermal conductivity of the rigid polyurethane foam

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Abstract

A reconstruction method is proposed for the polyurethane foam and then a complete numerical method is developed to predict the effective thermal conductivity of the polyurethane foam. The finite volume method is applied to solve the 2D heterogeneous pure conduction. The lattice Boltzmann method is adopted to solve the 1D homogenous radiative transfer equation rather than Rosseland approximation equation. The lattice Boltzmann method is then adopted to solve 1D homogeneous conduction-radiation energy transport equation considering the combined effect of conduction and radiation. To validate the accuracy of the present method, the hot disk method is adopted to measure the effective thermal conductivity of the polyurethane foams at different temperature. The numerical results agree well with the experimental data. Then, the influences of temperature, porosity and cell size on the effective thermal conductivity of the polyurethane foam are investigated. The results show that the effective thermal conductivity of the polyurethane foams increases with temperature; and the effective thermal conductivity of the polyurethane foams decreases with increasing porosity while increases with the cell size.

Keywords

polyurethane foam / effective thermal conductivity / lattice Boltzmann method / radiation / hot disk

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Wenzhen Fang, Yuqing Tang, Hu Zhang, Wenquan Tao. Numerical predictions of the effective thermal conductivity of the rigid polyurethane foam. Journal of Wuhan University of Technology Materials Science Edition, 2017, 32(3): 703-708 DOI:10.1007/s11595-017-1655-1

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