【摘要】 针对传统烟丝检测技术存在人为干扰、检测维度单一的问题，构建基于数字图像处理技术的集成化检测系统。通过数码相机离线采集烟丝图像，结合灰度转换、自适应阈值分割及Canny边缘检测等算法，实现烟丝轮廓提取与形态参数量化分析，并辅以多组分颗粒计算流体力学数值模拟及烟丝颗粒运动特性试验验证。结果显示，烟丝长度、周长和面积的概率密度峰值分别为20 mm,45 mm和25 mm~2；圆形度、矩形度与球形度分布峰值分别为0.12,0.20,0.16；实测烟丝平均密度为933 kg/m~3，泊松比为0.270。CFD模拟表明，烟丝长径比从4∶1增至6∶1时，气固两相动量传递效率下降，聚团效应加剧。研究为进一步提升卷烟生产过程中烟丝的加工适配性与成品烟的抽吸品质提供参考。更多还原

【Abstract】 To address the issues of human interference and limited detection dimensions in traditional cut tobacco inspection techniques,an integrated detection system based on digital image processing technology was constructed.Cut tobacco images were acquired offline using a digital camera.Algorithms such as grayscale conversion,adaptive threshold segmentation,and Canny edge detection were employed to achieve contour extraction and quantitative analysis of morphological parameters of the cut tobacco.This was supplemented by computational fluid dynamics(CFD) numerical simulation of multi-component particles and experimental validation of the motion characteristics of cut tobacco particles. The results showed that the peak probability densities for cut tobacco length,perimeter,and area were 20 mm,45 mm,and 25 mm~2,respectively.The distribution peaks for circularity,rectangularity,and sphericity were 0.12,0.20,and 0.16,respectively.The measured average density of the cut tobacco was 933 kg/m~3,with a poisson’s ratio of 0.270. CFD simulations indicated that as the aspect ratio of cut tobacco increased from 4:1 to 6:1,the momentum transfer efficiency in the gas-solid two-phase flow decreased,and the agglomeration effect intensified.This research provides a reference for further enhancing the processing adaptability of cut tobacco in cigarette production and the smoking quality of finished cigarettes.更多还原