小粒牧草种子丸粒化包衣数值模拟与试验

    Numerical simulation and experimental study on the pelletized coating of small grain forage seeds

    • 摘要: 针对小粒牧草种子丸粒化包衣时包衣质量不高、丸化合格率较低等问题,该研究采用理论方法,分析种粉颗粒在包衣锅内的运动过程、受力情况,构建种粉颗粒与包衣锅相互作用力学模型,获取影响种子包衣质量的主要因素。利用EDEM软件模拟包衣设备中不同结构参数下物料混合情况,探究结构参数对种粉混合效果的影响,以粉料的变异系数为评价指标,以包衣机甩盘直径、包衣机边缘倾角和包衣机转速为影响因素开展优化试验,得到最优参数组合为包衣机甩盘直径309.9 mm、包衣机边缘倾角61.9°和包衣机转速10.1 r/s。利用搭建的物理试验平台进行种子丸粒化包衣验证试验,结构参数优化后的包衣锅物理试验平均丸化合格率得到提升。进一步优化种子丸粒化包衣质量,探究粘结过程中粉料、药液对丸粒化包衣的影响。对丸粒化包衣机进行工艺参数正交试验,得到最佳工艺参数组合为单次供粉量为10 g、单次供液量为15 mL和包衣时长为7 min。在最优工作结构参数与工艺参数组合下,种子丸粒化包衣试验质量较高,研究结果可为其他不规则种子包衣提供参考。

       

      Abstract: Abstract: Pelleting coating can be widely used to improve the accuracy and emergence rate of mechanized precision sowing of seeds in modern agriculture. There are low quality and qualification rates of pelleting during pelleting, due to small particle size and irregular shape. In this study, a theoretical analysis was implemented to determine the motion process and force of seed powder particles during pelleting. A mechanical interaction model between the seed powder particles and coating pot was also established to obtain the main influencing factors on the seed coating quality. Taking the red clover seeds as the research object, the subject was then modified for the numerical simulation of Hertz-Mindlin with the JKR model in EDEM software. Specifically, the macroscopic and microscopic characteristics of particle flow were also obtained in the coating pot, in order to reveal the seed movement and the mixing effect of seed powder. The mixing of materials in the coating equipment was selected to simulate the seed movement using EDEM software, in order to explore the influence of structural parameters on the mixing effect of seed powder. Furthermore, a single-factor test was performed on the coating machine under different diameters, the edge inclination angle, and the speed. The coefficient of variation of the powder decreased monotonously with the increase of the coating time. Nevertheless, there was no variation in the coefficient of variation after the mixing process lasted for a period of time. The particles reached a better mixing degree during this time. Box-Behnken optimization test was carried out with the coefficient of variation as the evaluation index, while the casting disc diameter, the edge angle, and the speed of the coating machine as the influencing factors. The optimal combination of the parameter was obtained: The casting disc diameter of the coating machine was 309.9 mm, the edge Angle of the coating machine was 61.9°, and the speed of the coating machine was 10.1 r/s. The seed pelleting coating test was carried out on the physical test platform, where the average pellet coating pass rate of the optimized coating pot physical test increased from 78.6% to 93.1%. The results showed that the developed pelletizing coating machine fully met the relevant industry standards in practical production. The seed pelleting coating quality was further optimized after the experiment. The qualified pelleting rate differed greatly between different batches, in order to explore the influence of powder and liquid on the seed pelleting coating in the process of bonding. The orthogonal test was conducted on the process parameters for the pill granulation coating machine. The best combination of process parameters was obtained with a single powder supply of 10 g, a single liquid supply of 15 mL, and a coating time of 7 min. The single power supply was the most significant influencing factor on the test after the extreme difference analysis, while there was less influence of coating length on the test. Consequently, the seed pelletizing coating test can be expected to obtain high quality with the optimal combination of working structure and process parameters. The finding can also provide a strong reference basis for the irregular seed coatings.

       

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