浙江农业学报 ›› 2025, Vol. 37 ›› Issue (12): 2615-2624.DOI: 10.3969/j.issn.1004-1524.20241088

• 生物系统工程 • 上一篇    下一篇

党参种子丸粒化包衣性能仿真与试验

朱高烁1(), 高爱民1,*(), 李百成2, 刘康康1   

  1. 1.甘肃农业大学 机电工程学院,甘肃 兰州 730070
    2.国家种子加工装备工程技术研究中心,甘肃 兰州 730070
  • 收稿日期:2024-12-13 出版日期:2025-12-25 发布日期:2026-01-09
  • 作者简介:朱高烁(2000—),男,湖北襄阳人,硕士研究生,研究方向为农业工程技术与装备。E-mail:550079078@qq.com
  • 通讯作者: *高爱民,E-mail:Gam0624@163.com
  • 基金资助:
    甘肃农业大学横向项目(GSAU-JSZR-2024-004)

Simulation and experiment on pelleting coating performance of Codonopsis pilosula seeds

ZHU Gaoshuo1(), GAO Aimin1,*(), LI Baicheng2, LIU Kangkang1   

  1. 1. Mechanical and Electrical Engineering College, Gansu Agricultural University, Lanzhou 730070, China
    2. National Seed Processing Equipment Engineering Technology Research Center, Lanzhou 730070, China
  • Received:2024-12-13 Online:2025-12-25 Published:2026-01-09

摘要: 为研究椭球形小籽粒党参种子丸粒化包衣工艺参数对包衣效果的影响,提升党参种子包衣合格率,借助颗粒接触理论,分析党参种子与包衣锅的接触过程,确定党参种子和包衣锅的基本参数。利用EDEM软件构建党参种子和包衣锅的离散元仿真模型,采用单因素试验分别研究包衣锅转速、包衣锅倾角和水粉比例对包衣合格率和离散系数的影响,利用正交试验建立以包衣合格率为响应参数的数学回归模型,通过方差分析得到影响包衣合格率的主次因素,通过响应曲面分析各因素交互作用对包衣合格率的影响。结果表明:影响党参种子包衣合格率的因素从高到低依次是包衣锅倾角>包衣锅转速>水粉比例。基于构建的回归方程得到如下最优参数:包衣锅转速30.7 r·min-1,包衣锅倾角40.7°,水粉比例0.85,此时,包衣合格率可达93%以上。

关键词: 党参种子, 包衣机, 丸粒化, 小粒种子

Abstract:

To investigate the effects of pelleting coating process parameters on the coating quality of ellipsoidal small Codonopsis pilosula seeds and improve their coating qualification rate, this study analyzed the contact process between seeds and coating pan using particle contact theory to determine the basic parameters of both components. A discrete element method (DEM) simulation model was established in EDEM software to simulate the interaction dynamics. Single-factor experiments were conducted to evaluate the influences of coating pan rotational speed, coating pan inclination angle, and water-powder ratio on coating qualification rate and coefficient of variation. Orthogonal experimental design was employed to develop a mathematical regression model with coating qualification rate as the response parameter. The primary and secondary factors affecting coating quality were indentified via analysis of variance (ANOVA), while interactions of factors were explored by response surface methodology (RSM). Results indicated that the influence of factors descended in the order as coating pan incination angle>coating pan rotational speed>water-powder ratio. The optimal parameters were determined based on the constructed regression model as coating pan rotational speed of 30.7 r·min-1, coating pan incination angle of 40.7°, and water-powder ratio of 0.85, achieving a coating qualification rate above 93%.

Key words: Codonopsis pilosula seeds, coating machine, pelletizing, small seed

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