CALIBRATION OF WHITE RICE SIMULATION PARAMETERS BASED ON DISCRETE ELEMENT METHOD
CALIBRATION OF WHITE RICE SIMULATION PARAMETERS BASED ON DISCRETE ELEMENT METHOD
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DOI：
10.35633/inmateh-71-18
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发表时间：
2023-12
期刊：
影响因子：
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通讯作者：
Biao Xie;Jinyin Bai;Jiagang Yan;Shibo Zhao;Nian Liu;Qiang Zhang
中科院分区：
文献类型：
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作者：
Biao Xie;Jinyin Bai;Jiagang Yan;Shibo Zhao;Nian Liu;Qiang Zhang
针对大米抛光、分级、色选等工艺及设备缺乏离散元仿真模型和参数，难以通过仿真指导设备设计和优化的问题，基于休止角（AOR）试验和仿真方法对白色大米仿真参数进行标定。以黄花占和东农429白色稻为研究对象。采用多球填充法建立了白色大米的数学模型。根据物理试验和文献资料，确定了白色米粒的模拟参数范围。采用Plackett-Burman检验筛选参数，发现颗粒间静摩擦系数和颗粒间滚动摩擦系数对白色稻米的AOR有显著影响。根据中心组合设计方法，建立了AOR与显著性参数之间的回归模型。通过优化设计，确定了对物理气油比影响显著的模拟参数组合，并通过模拟试验进行了验证。将模拟AOR与物理AOR进行了比较，两种白色稻米的AOR相对误差均小于3%。结果表明，本研究提出的标定方法能够较准确地模拟物理AOR试验，可为白色米加工的离散元模拟提供参考。
Aiming at the lack of discrete element simulation models and parameters for rice polishing, grading, color sorting and other technologies and equipment, and the difficulty of guiding equipment design and optimization through simulation, this paper calibrates the simulation parameters of white rice based on angle of repose (AOR) test and simulation methods. Huanghuazhan and Dongnong 429 white rice were selected as research object. Numerical model of white rice was established by multi-sphere filling. According to physical test and references, the simulation parameter range of white rice particles was determined. Plackett-Burman test was used to screen parameters, and it was found that the particle-particle static friction coefficient and particle-particle rolling friction coefficient had significant effects on the AOR of white rice. The regression model between the AOR and the significance parameter was established according to the central composite design method. The simulation parameter combination that has significant influence on the physical AOR was determined through the optimization design, and verified by the simulation test. The simulation AOR was compared with the physical AOR, and the relative error of the two kinds of white rice was less than 3%. The results show that the calibration method proposed in this study can accurately simulate the physical AOR test, which can provide reference for discrete element simulation of white rice processing.