基于离散元的盘式磨粉机颗粒研磨仿真及参数优化
CSTR:
作者:
作者单位:

河南工业大学机电工程学院,河南 郑州 450001

作者简介:

通讯作者:

吴兰(1981—),女,河南工业大学教授,博士。E-mail:wulan@haut.edu.cn

中图分类号:

基金项目:

河南省科技创新领军人才(编号:244200510021);河南省高校科技创新团队(编号:24IRTSTHN030)


Particle grinding simulation and parameter optimization of disc mill based on discrete element
Author:
Affiliation:

School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, Henan 450001, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的 研究盘式磨粉机粉碎不同物料时不同工作参数对工艺效果的影响,并对其工作参数进行优化。方法 采用Rocky DEM离散元软件对盘磨研磨过程进行模拟,变量包括入料速度、磨盘间距、动磨盘转速和入料种类。分析这些因素对取粉率、耗电量和粉碎时间的影响,并使用正交试验设计和矩阵分析方法对数值模拟结果进行综合评估。结果 盘磨研磨过程中不同入料参数对应的最优参数组合方案为:粉碎小麦时磨盘间距2.70 mm、入料速度0.75 kg/min、动磨盘转速1 000 r/min;粉碎玉米时磨盘间距2.80 mm、入料速度0.75 kg/min、动磨盘转速1 400 r/min;粉碎荞麦时磨盘间距2.60 mm、入料速度0.75 kg/min、动磨盘转速600 r/min,得到了不同颗粒大小与杨氏模量对应不同盘磨间距与动磨盘转速的回归模型。结论 通过正交试验与矩阵分析优化了小麦、玉米和荞麦的粉碎工艺,并构建了自适应回归模型,提升了磨粉机的操作效率和能效。

    Abstract:

    Objective To investigate the effects of different operating parameters on the grinding performance of a disk mill when processing different materials, and to optimize its working parameters.Methods The grinding process of the disk mill was simulated using Rocky DEM discrete element software. Variables included feeding speed, grinding disc spacing, rotational speed of the dynamic disc, and material type. The effects of these factors on powder yield, energy consumption, and grinding time were analyzed. An orthogonal experimental design and matrix analysis were used to comprehensively evaluate the simulation results.Results The optimal parameter combinations for different feed materials in the disk milling process were determined as follows. For wheat: grinding disc spacing of 2.70 mm, feeding speed of 0.75 kg/min, and dynamic disc speed of 1 000 r/min; For corn: disc spacing of 2.80 mm, feeding speed of 0.75 kg/min, and disc speed of 1 400 r/min; For buckwheat: disc spacing of 2.60 mm, feeding speed of 0.75 kg/min, and disc speed of 600 r/min. Regression models were established to describe the relationship between different particle sizes and Young's modulus under varying grinding disc spacings and dynamic disc speeds.Conclusion The grinding processes for wheat, corn, and buckwheat were optimized through orthogonal testing and matrix analysis, and an adaptive regression model was developed to improve the operational efficiency and energy performance of the disk mill.

    参考文献
    相似文献
    引证文献
引用本文

吴兰,于少博.基于离散元的盘式磨粉机颗粒研磨仿真及参数优化[J].食品与机械,2025,41(6):102-111.
WU Lan, YU Shaobo. Particle grinding simulation and parameter optimization of disc mill based on discrete element[J]. Food & Machinery,2025,41(6):102-111.

复制
相关视频

分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-09-02
  • 最后修改日期:2025-04-07
  • 录用日期:
  • 在线发布日期: 2025-07-04
  • 出版日期:
文章二维码