Abstract
To solve the poor universality in the existing modelling approaches of soybean particles, we proposed a soybean particle modelling approach by combining five, nine, and 13 balls. The soybean seeds from three varieties (Suinong42, Jidou17, and Zhongdou39 with a sphericity of 94.78%, 86.86%, and 80.6%, respectively) are chosen as the study objects. By the comparisons between the simulation results and the test results in the “self-flow screening” and “piling angle” tests, it is concluded that the soybean particle modelling approach we presented in this paper is a universal modelling approach appropriate for soybean particles with different sphericities. The five-ball model is appropriate for the soybean particles with high sphericity, and the nine- or 13-ball models are applicable to those with low sphericity. The soybean particle modelling approach we presented is also compared with the ellipsoidal equation modelling approach for soybean particles and with the modelling approaches presented by other researchers. From an overall perspective, the soybean particle modelling approach we presented is better than the ellipsoidal equation modelling approach and those modelling approaches presented by other researchers. Additionally, it is shown that the multiple contacts issue in the multi-ball model has a little influence on the simulation results of soybean particle models. The study in this paper provides a new modelling approach for soybean particles in the DEM simulation of the contacts between soybean particles and the related machines.
Highlights
When the contacts between soybean particles and the mechanical parts are analysed using the discrete element method [1], a precise model for soybean seeds needs to be first established
When the multi-ball approach is used for the particle modelling, the multiple contacts exists in the multi-ball model causing the deviation of the simulation results from the test results [10,11]
For the Yan-5B, Xu-5B, Xu-13B, Lv-5B, Lv-9B, and Lv-13B models, their simulation results in the No 1 statistical area are smaller than the test results, and their simulation results in the No 5 statistical area are larger than the test results
Summary
When the contacts between soybean particles and the mechanical parts are analysed using the discrete element method [1], a precise model for soybean seeds needs to be first established. How to establish a universal modelling approach for soybean particles still needs to be studied. For the multi-ball approach and the ellipsoidal equation approach, the model established by which approach is closer to the real soybean particle is not reported in literature. When the multi-ball approach is used for the particle modelling, the multiple contacts exists in the multi-ball model causing the deviation of the simulation results from the test results [10,11]. Wang employed the multi-ball approach to establish the maize particle model [12]. For the soybean particles with different sphericities, when the multi-ball approach is employed to establish the particle model, how much effect the multiple contacts have needs further research. The universality of the modelling approach is verified by the comparisons between the simulation results and the test results for the soybean particles with different sphericities. It is found that the multiple contacts have little influence on the multi-ball model
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