基于CFD-DEM的上吸风碾米机碾白室颗粒运动与受力分布特性研究OA

To clarify how inlet air velocity governs particle motion and force distribution within the whitening chamber of an up-suction rice whitening machine and to elucidate the influence mechanism of the suction parameters,this study coupled Computational Fluid Dynamics with the Discrete Element Method(CFD-DEM)and simulated several inlet velocity conditions.The analysis examined the particle velocity field,force response,and statistical features,including the coefficient of variation and Pearson correlation.Particle flow showed marked spatial and temporal nonuniformity and reached a quasi-steady state after about 0.8 s.Axial velocity combined forward transport near the inlet with local backflow downstream,peaking near measurement point 4.Force varied axially as rise,decline,then recovery,concentrating in the front-middle region and changing nonmonotonically with velocity.At low velocity,particle velocity and force were significantly negatively correlated;this correlation weakened with increasing velocity and became statistically nonsignificant at inlet velocities of 12 m·s-1 and above.Inlet air velocity strongly regulates gas-solid behavior:the 8～12 m·s-1 range keeps particle velocity transport relatively coordinated,while force-distribution uniformity is best at 12 m·s-1,which gives the lowest force coefficient of variation(29.39％).These results provide a theoretical basis for optimizing the suction parameters of up-suction rice mills.