Abstract
We present a critical comparative analysis between numerical and experimental results of quasi-two-dimensional silo and hopper flows. In our approach, the Discrete Element Method was employed to describe a single-layer mono-disperse sphere confined by two parallel walls with an orifice at the bottom. As a first step, we examined the discharge process, varying the size of the outlet and the hopper angle. Next, we set the simulation parameters fitting the experimental flow rate values obtained experimentally. Remarkably, the numerical model captured the slight non-monotonic dependence of the flow rate with the hopper angle, which was detected experimentally. Additionally, we analyzed the vertical velocity and solid fractions profiles at the outlet numerically and experimentally. Although numerical results also agreed with the experimental observations, a slight deviation appeared systematically between both approaches. Finally, we explored the impact of the system’s confinement on this process, examining the consequences of particle-particle and particle-wall friction on the system macroscopic response. We mainly found that the degree of confinement and particle-wall friction have a relevant impact on the outflow dynamics. Our analysis demonstrated that the naive 2D approximation of this 3D flow process fails to describe it accurately.
Highlights
Filling, storing, and discharging of granular media are conventional industrial procedures, which are highly automated
We examined the discharging of silos and hoppers, resembling the experimental conditions of Ref. [18, 25]
We demonstrate that these parameters have the most significant impact on numerical outcomes
Summary
Filling, storing, and discharging of granular media are conventional industrial procedures, which are highly automated. These processes are designed empirically and need manual intervention: any failure in these devices could eventually lead to devastating consequences [1,2,3]. Quasi-two-dimensional experimental setups are often developed [4,5,6,7,8,9,10,11,12], because they capture the particle dynamics precisely. It is relatively easy to implement, and it has the advantage of being parallelizable
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