Computational simulation is an important tool for design and improvement of industrial units. Computational fluid dynamics (CFD) coupled with the discrete element method (DEM) has been applied to simulate drying equipment that usually involves gas–solid flow. For reliable results of CFD–DEM simulations, the properties related to the interactions of the material within the industrial equipment, such as the restitution or friction coefficients, must be known. In this study, CFD–DEM was applied to simulate the fluid dynamics inside a conical spouted bed operating with sorghum grains. The physical properties of the particulate phase and the particle–particle and particle–wall interaction parameters were determined by the direct measurement approach and applied to CFD–DEM. The interaction parameters were experimentally determined, including the particle–particle interaction parameters of η = 0.46, μ_S = 0.79, and μ_R = 0.70, and the particle–wall interaction parameters of η = 0.56, μ_S = 0.75, and μ_R = 0.40. The simulated minimum spouting velocity and characteristic curves were compared with the experimental results. There was good agreement between the simulated and experimental results.

计算仿真是工业单元设计和改进的重要工具。计算流体动力学（CFD）与离散元方法（DEM）结合已用于模拟通常涉及气固两相流动的干燥设备。为了获得可靠的CFD–DEM模拟结果，必须知道与工业设备内材料相互作用有关的特性，例如恢复或摩擦系数。在这项研究中，CFD–DEM用于模拟在高粱粒运行的锥形喷头内的流体动力学。颗粒相的物理性质以及颗粒-颗粒和颗粒-壁相互作用参数通过直接测量方法确定，并应用于CFD-DEM。互动参数是通过实验确定的，η  =  0.46，μ_小号 =  0.79，和μ _{- [R}  =  0.70，的颗粒-壁相互作用参数η  =  0.56，μ_小号 =  0.75，μ _{- [R}  =  0.40。将模拟的最小喷出速度和特性曲线与实验结果进行了比较。模拟结果和实验结果之间有很好的一致性。