森林工程2025，Vol.41Issue(5)：1034-1041,8.DOI:10.7525/j.issn.1006-8023.2025.05.016
基于相似准则的林业无土栽培基质混合分析
Mixed Analysis of Forestry Soilless Culture Substrate Based on Similarity Criterion
摘要
Abstract
Aiming at the problems of insufficient substrate mixing in the process of soilless culture substrate production and inaccurate simulation results due to too large a model and too many particles when using the discrete element method,we established a simulation model of fertilizer and soil particles by setting up a similar theoretical mixing model and utilizing the Hertz-Mindlin(no slip)contact model,and then three variable factors which affected the mixing unifor-mity and efficiency of the mixer,such as the feeding mode,the blade spacing of the stirred mixer and the stirrer rota-tional speed,were simulated and analyzed based on discrete element analysis.The results showed that:the similar theo-retical mixing model can be used for the scaling of the simulation model to achieve the effect of reducing the amount of calculation and improving the accuracy of the simulation;in the case of using the flat feeding mode,the mixing effect was better because the upper particles would accelerate the mixing of the particles under the action of gravity;the better spacing between the blades in the model was 20 mm with similarity model;the mixing effect and the economy were the best when the blade rotational speed was at 50 r/min;the mixing efficiency and effect were greatly improved compared with manual mixing,and the blind zones can be avoided.The simulation results can provide theoretical reference for the design and optimization of stirred mixer.关键词
育苗基质/搅拌装置/相似准则/离散元分析/Event driven execution manager(EDEM)离散元仿真软件Key words
Seedling substrate/stirring device/similarity criterion/discrete element analysis/event driven excution manager(EDEM)分类
农业科技引用本文复制引用
沈嵘枫,钟文斌,王沅栋,黄俊疆,张文悦,杨诗嘉..基于相似准则的林业无土栽培基质混合分析[J].森林工程,2025,41(5):1034-1041,8.基金项目
福建省科技厅工业引导性(重点)项目(2023H0063) （重点）
福建省林业科技项目(2023FKJ01 （）
2025FKJ1) （）
福建省级科技创新重点项目(高校类)(2021G02024) （高校类）
福建农林大学科技创新专项基金项目(KFb22119XA （）
KFB24055A). （）
