Research and Experiment on Parameter Calibration of Multi‐Scale White Tea Based on EDM ‐ RSM Method

This study takes pan‐fired White Tea as the object and calibrates the multi‐scale White Tea (single leaf, two leaves, three leaves) particle simulation parameters. The physical properties, such as static friction, coefficient of restitution, and rolling friction, were determined through physical testing methods, and the repose angle test of White Tea was carried out. Then, a discrete element model was constructed, combining the Plackett‐Burman experiment; the significant relationships of multiple parameters on the influence of the dislocation element simulation on the angle of repose were analyzed. The range of values for the significant parameters was determined using the steepest ascent test, and on this basis, the Box‐Behnken experiment was conducted to obtain the optimal values of the significant parameters. The verification showed that the error between the simulated angle of repose and the measured value was significantly reduced, being 1.07% and 2.03% respectively. The optimized parameters can effectively improve the simulation accuracy of multi‐scale White Tea granules using the discrete element method. They provide simulation parameter support for the later sorting of famous and excellent White Tea, as well as the development of equipment for shaping, sorting, and selecting White Tea.