Optimization of a three-row air-suction Brassica chinensis precision metering device based on CFD-DEM coupling simulation

Abstract

This study aimed to optimize a three-row air-suction Brassica chinensis precision metering device to improve the low seeding performance. ANSYS 17.0 Software was used to analyze the effect of different numbers of suction holes and different suction hole structures on the airflow field. It was found that a suction hole number of 60 was beneficial to the flow field stability and a conical hole structure was beneficial to the adsorption of seeds. Box-Behnken design experiments were carried out with negative pressure, rotational speed, and hole diameter as the experimental factors. The optimal parameter combination was achieved when the negative pressure was 3.96 kPa, the rotational speed of the seeding plate was 1.49 rad/s and the hole diameter was 1.10 mm. The qualification rate of inner, middle, and outer rings were 87.580%, 90.548%, and 90.117%, respectively, and the miss seeding rate of inner, middle, and outer rings were 10.915%, 7.139%, and 5.920%, respectively.

Performance Optimization of a Spoon Precision Seed Metering Device Based on a Maize Seed Assembly Model and Discrete Element Method

“…For example, Shi et al [24,27,28] established differently shaped DEM models such as spheres, pies, and wedges. Sun et al [29][30][31][32][33][34] established a corresponding DEM model for differently shaped maize seeds based on the multi-sphere filling method, and a single maize seed DEM model was generated according to the corresponding percentage in the simulation process. The generated maize seed model has a population characteristic, to a certain extent, consistent with the actual maize seed, and the size of the above-mentioned DEM model is a uniform distribution, but the size of the actual maize seed is approximately a normal distribution [19,26,35].…”