ALTERNATING DIRECTION IMPLICIT METHOD FOR SOLVING EQUATIONS OF 2-D HETEROGENEOUS MODEL OF DEEP-BED GRAIN DRYING

Abstract

In this paper, numerical studies of two-dimensional mathematical model are presented for deep-bed grain drying based on heat and mass transfer. The two-dimensional dynamic equations are solved numerically by finite difference method with alternating direction implicit algorithm and then applied to simulate humidity and temperature profile of drying gas across dryers together with moisture content and temperature of grain. Line by line algorithm was applied to overcome multidimensional direction. The capabilities of these models were compared with experimental data had been conducted, under variable conditions such as temperature and absolute humidity of drying gas and moisture content of grains. The simulation results show that the two-dimensional dynamic modelling of corn-grain drying can predict the dynamic of drying process.