Abstract
This research involved the three-dimensional drying models of corn kernels that were developed based on one-component homogeneity (OH), multi-component heterogeneity of moisture diffusion coefficient (MD) and multi-component heterogeneity of initial moisture content and moisture diffusion coefficient (MMD), respectively. Simulation results were fully evaluated by the experiments of nuclear magnetic resonance imaging (MRI) and infrared thermal imaging. Results showed that MMD model could accurately describe the temperature and moisture distribution in different components during drying. Germ had higher moisture content and lower temperature than endosperm. The larger moisture and heat flux around germ resulted in higher drying rate of germ than that of endosperm. Although moisture transfer from germ to endosperm delayed its drying, the endosperm still dominated the drying of corn kernel. The results provided a better option for accurate prediction of moisture and temperature distribution inside corn kernels during drying process.
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