孙撼林, 方海峰, 刘 锐, 戎 铮, 徐君成

（江苏科技大学 机械工程学院, 江苏 镇江 212003）

引用格式：孙撼林, 方海峰, 刘锐, 等. 工装篮烘干筒内硅料颗粒混合过程的数值模拟[J]. 中国粉体技术, 2023, 29(4): 22-35.

SUN H L, FANG H F, LIU R, et al. Numerical simulation of mixing process of silicon particles in drying cylinder of tooling basket[J]. China Powder Science and Technology, 2023, 29(4): 22-35.

DOI：10.13732/j.issn.1008-5548.2023.04.003

收稿日期：2022-10-20，修回日期：2022-12-21，在线出版时间：2023-05-19 10:15。

基金项目：国家自然科学基金项目,编号:51906091;江苏省青蓝工程人才项目,编号:202126601。

第一作者简介：孙撼林(1996—),男,硕士研究生,研究方向为仿真优化。E-mail: 1755505374@qq.com。

通信作者简介：刘锐(1988—),男,副教授,博士,研究方向为流体力学传热传质多相流。E-mail: 745547903@qq.com。

摘要：硅料的烘干是全自动超声波清洗机在生产过程中最重要的环节，研究该环节工装篮烘干筒内硅料颗粒的烘干过程对烘干装置节能和工装篮烘干筒结构优化具有重要意义。通过DEM离散软件，在搅棒形状、搅棒数、烘干筒外框转速、颗粒状硅料填充率等影响因素下对工装篮烘干筒内颗粒状硅料的混合过程进行数值模拟和分析。通过单因素和多因素正交实验模拟及Lacey指数M对混合均匀性进行定量分析，得到各参数最佳工况。结果表明：与其他形状的搅棒相比，长方体搅棒的烘干筒内颗粒混合效果最好；当搅棒数为6时，混合程度达到最佳值，颗粒群混合效果随着填充率的增加而下降。与填充率为31.73%和41.40%相比，填充率为23.60%时对流混合作用影响最强，混合效果更好。烘干筒转速为8.91 rad/s时，可以提高硅料颗粒混合的均匀性和质量，从而提高混合效率。通过正交分析得出，影响因素中烘干筒外框转速影响最大，其次为颗粒填充率、搅棒数、搅棒形状。

关键词：工装篮烘干筒; 硅料; 颗粒运动; 数值模拟

Abstract：The drying of silicon material is one of the most important parts of the automatic ultrasonic cleaning machine in the production process. The study of the drying process of silicon material particles in the work basket drying cylinder in this link is of great significance for the energy saving of the drying device and the optimization of the work basket drying cylinder structure. Through DEM discrete software, the mixing process of granular silicon in drying cylinder of tooling basket was numerically simulated and analyzed under the influence of shapes and numbers of agitators, the rotating speed of the outer frame of drying cylinder and the fill-rate of granular polysilicon. The quantitative analysis of mixing uniformity was conducted with the use of univariate and multi-factor orthogonal experimental simulations and Lacey index M to obtain the optimal working conditions of each parameter. The results show that the mixing granules in dryer of the rectangular plate has the best effect compared with other shaped agitators. It is found that the mixing degree reached the optimal value when there are 6 agitators. The granules swarm mixing effect decreases as the increase of fill rate. Compared with the filling rate of 31.73% and 41.40%, the filling rate of 23.60% has the strongest impact on convection mixing effect, as well as better mixing effect. The drying drum speed of 8.91 rad/s can not only improve uniformity and quality of polysilicon particle mixing quality, but also improve mixing efficiency. Through orthogonal analysis, among all the influencing factors, the speed of outer frame of drying drum has the greatest influence, the particle filling rate is the second, the number of agitators is the third, and the shape of agitator has the least effect.

Keywords：tooling basket drying cylinder; silicon material; particle motion; numerical simulation

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