## 4 Experimental Analysis  
In order to ensure the accuracy of numerical simulation, comparative test verification was carried out on the self-constructed test platform. The inner diameter of the physical model of the chute is 500 mm, the angle between the dustpan wall and the horizontal plane is set to 14 degrees, and the tilt opening is 45 degrees. The six-stage dustpan is arranged uniformly and symmetrically interacts with each other, the materials are selected from soybeans and corn, and the conveying height is defined as from the upper edge of the inlet to the lower edge of the discharge port, which is 3000 mm; the parameters of the chute and the material particles of the numerical simulation are consistent with those of the physical experiments. In the test, in order to ensure the accuracy of the test, the sensors are arranged in different collection locations for multiple sets of test verification. The test setup is shown in Figure 6.  
As realized by setting parameters and simulation, the force chain formation contributes positively to conveying, and after the material leaves the outlet, it is assumed that it continues to flow at an internal friction angle of 50\({}^{\circ}\) until it flows out of the outlet. The \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Form** & **Project** & **Parameter** & **Numerical Value** \\ \hline \multirow{6}{*}{materials} & \multirow{3}{*}{corn} & density (kg/m\({}^{3}\)) & 1120 \\  & & modulus of elasticity (MPa) & 246.72 \\  & & Poisson’s ratio & 0.32 \\  & & density & 7930 kg/m\({}^{3}\) \\  & steel & modulus of elasticity (GPa) & 193 \\  & & Poisson’s ratio & 0.3 \\ \hline \multirow{6}{*}{contact condition} & \multirow{3}{*}{particle–particle} & coefficient of recovery & 0.6 \\  & & static coefficient of friction & 0.38 \\ \cline{1-1}  & & coefficient of sliding friction & 0.33 \\ \cline{1-1}  & & contact model & Hertz–Mindlin (no slip) \\ \cline{1-1}  & particle–boundary & coefficient of recovery & 0.55 \\ \cline{1-1}  & & static coefficient of friction & 0.34 \\ \cline{1-1}  & & coefficient of sliding friction & 0.3 \\ \cline{1-1}  & & contact model & Hertz–Mindlin (no slip) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: DEM numerical simulation parameters. Figure 6: Structure and working principle of the test device. 1—Multi-stage chute dustpan; 2—acquisition software; 3—multi-channel stress–strain sensors; 4—material handling timer. As shown in Figure 7, the impact load rapidly rises to 35 kpa in the vertical free conveying section of 0.45 m. The three conveying heights of 4 m, 6 m and 8 m sections are simulated, and the simulation results show similar effects. As shown in Figure 8, during the conveying process, the average internal energy of the material group is 0-10 s, which slowly decreases from 28 N.m to below 12 N.m, effectively achieving a slow material drop. As shown in Figure 9, in the confined space where the material is transported in the rink, the tremor frequency in the XYZ direction gradually moves from disorder to regular movement, conforming to the set flow trajectory. As shown in Figure 10, different angles of multiple points of collision strength of the collection of information in the 30-50 degree arrangement state dustpan impact load presents a step-by-step trend of slowing down; in the 40 degrees after the arrangement of the program, the material conveying efficiency is greatly reduced, and the average feeding time compared to the following 40 degrees of the program increased by 16%. A comprehensive analysis of the choice of a 40-degree dustpan is more reasonable. Using a high-speed camera to capture the metropolis particles and corn particles for comparison, as shown in Figure 11, the same drop, the rebound height in the free-fall pipeline in 8-12 cm, after passing through the multi-stage dustpan buffer, the overall conveying attitude slows down, and the particle group rebound height is between 6-9 cm.