中国烟草学报2024，Vol.30Issue(4)：55-66,12.DOI:10.16472/j.chinatobacco.2022.T0209
基于图像识别的叶丝形态表征及其数值模拟
Image-based morphological characterization of cut tobacco and its numerical simulation
摘要
Abstract
[Background and Purpose]This study investigates a method for the characterization of particle size and shape of cut tobacco,which can be used for modeling in its numerical simulation.[Method]Image analysis technology is used to determine the equivalent diameter of the area circle,maximum Feret diameter,circularity,and aspect ratio of each cut tobacco strand dispersed on a two-dimensional plane.[Results](1)Using the proposed method of cut tobacco particle image acquisition and processing,and through statistical analysis of cut tobacco sample data,the probability density distribution curves of particle size and shape of cut tobacco materials were determined.This achieved the characterization of particle size and shape for cut tobacco materials of four different lengths:long,medium,short,and broken strands.The characterization parameters quantitatively reflect the differences in particle size and shape of different samples.(2)Numerical simulation results using the discrete element method show that the particle size and shape properties of cut tobacco have a significant impact on the material's stacking height.Based on the experimentally measured particle size and shape probability distribution curves,a numerical model of cut tobacco particles consistent with the actual morphological distribution was generated.The deviation of numerical simulation results from experimental results is within 1.3%.[Conclusion]The proposed method quantitatively characterizes cut tobacco particles in terms of particle size and shape.On one hand,the characterization results reflect the differences in properties of different materials,and on the other hand,they can be directly used to establish numerical models close to actual conditions,thereby accurately predicting the stacking height of cut tobacco particles of different lengths.关键词
叶丝/粒形表征/粒度表征/离散单元法Key words
cut tobacco particles/particle shape characterization/particle size characterization/discrete element method引用本文复制引用
沈凯,朱强,林建忠,夏琛,潘凡达,樊虎,韩乐园,李旭,王思远,韩家伟,汪鹏,郭宇,王灿星..基于图像识别的叶丝形态表征及其数值模拟[J].中国烟草学报,2024,30(4):55-66,12.基金项目
浙江省自然科学基金杰出青年项目"复杂颗粒材料的流动本构关系和微观机理研究"(No.LR19A020001) （No.LR19A020001）
浙江大学-浙江中烟联合实验室项目"烟草制丝过程多相流动数值仿真研究及应用"(No.ZJDX202011) （No.ZJDX202011）
