Numerical Study of Joint Heat and Moisture Transfer Taking into Account Pressure in Heterogeneous Porous Bodies
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Abstract
This article develops a model and numerical algorithm with second-order accuracy in time and spatial variables for solving problems of combined heat and moisture transfer during the storage and drying of heterogeneous porous materials. These algorithms are used for research, forecasting, and management decision-making, a pressing issue in the storage and processing of agricultural products and raw materials. The spatial-temporal dependences of the temperature, moisture, and pressure distributions within the heterogeneous porous material are obtained. The results of numerical experiments on a computing system demonstrate that increasing the humidity of the porous material significantly affects the internal temperature, leading to significant quality losses. The developed mathematical tool is used to study heat transfer processes in materials exposed to solar radiation.
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