Abstract:In response to the complex mechanical behavior of branches during tea tree pruning and the variable cutting conditions, in order to improve the accuracy and reliability of the discrete element method in guiding the optimization design of the tea branch cutting device, a discrete element model of the aggregate was established, and on this basis, the cutting blade was optimized through the discrete element method (DEM) simulation. Taking mature tea trees as the object, the intrinsic parameters and surface contact parameters of the tea branches were measured through physical experiments. Based on the calibrated parameters, an EDEM simulation model of the cutting device was constructed, focusing on the three core parameters of the cutting angle, the blade angle, and the cutting speed. With the goal of maximum cutting force, Box-Behnken experiments were carried out to optimize the parameters of the cutting blade. A shear simulation experiment was conducted by using the calibrated discrete element parameters of the tea branch, and the relative error between the maximum cutting force obtained and the measured maximum cutting force was 2.25%. The optimal parameter combination of the blade was the cutting angle of 16.7°, the blade angle of 38.8°, and the cutting speed of 0.43 m/s. The EDEM simulation of the optimal parameter combination verified the relative error between the maximum cutting force and the regression equation prediction as 1.75%. The parameter calibration results of the tea branch aggregate discrete element model can provide a reference for tea tree cutting discrete element simulation, and the optimization design results of the cutting blade can be used for the subsequent development of tea harvesting equipment.