1996 年 2 巻 2 号 p. 86-91
A model was developed to predict the temperature and relative humidity of air and the temperature and moisture content of polished rice in deep-bed sorption. The model was based on one-dimensional heat and mass transfer equations with the appropriate boundary conditions and was solved using the finite difference method. Inlet temperature and inlet relative humidity were used as model inputs. For validation of the model, data were collected by ventilating the height of a 1 m polished rice column in a circular (0.14 m diameter) bin with moist air. Measured and predicted temperatures, relative humidity and grain moisture at different layers were in close agreement over a test period of 72 h. Thus the model and the parameter values used are applicable for predicting moisture content in deep-bed sorption.