To address the serious shortage of automatic classification of grain pile in squat silo, it is critical to design a distributor capable of producing grain pile with uniform porosity distribution and good ventilation effect. The research object in this paper is soybean, and a non-spherical particle model of soybean is reconstructed using the measured physical parameters of soybean particles. Using ventilation uniformity as indicator, a squat silo packing distributor was designed and optimized. Computational Fluid Dynamics (CFD) and Discrete Element Method (DEM) coupled calculations were used to investigate the static grain pile ventilation process. The results show that, when compared to CFD, the coupled calculation method can more accurately reflect the flow and heat transfer laws within the actual grain pile. The distributor application can effectively avoid the situation in which the porosity of the grain pile is too large or too small. When the distributor structure is six-arm and the rotation speed is six revolutions per minute (rpm). The grain pile ventilation uniformity and porosity distribution are the best.
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