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• Conical spouted bed fluid dynamics evaluated by CFD–DEM.
• The measured properties were used as DEM input parameters.
• The minimum spouting velocity was determined using a fluid dynamics curve.
• Small deviations indicated that the flow dynamics can be described by CFD–DEM.
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, μS = 0.79, and μR = 0.70, and the particle–wall interaction parameters of η = 0.56, μS = 0.75, and μR = 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.