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作 者:韩振华 沈义俊 杜燕莲 张瑞永 彭甫森 陈立 HAN Zhenhua;SHEN Yijun;DU Yanlian;ZHANG Ruiyong;PENG Fusen;CHEN Li(State Key Laboratory of Marine Resources Utilization in the South China Sea,Hainan University,Haikou 570228,Hainan,China;School of Information and Communication Engineering,Hainan University,Haikou 570228,Hainan,China;School of Marine Science and Engineering,Hainan University,Haikou 570228,Hainan,China)
机构地区:[1]海南大学南海海洋资源利用国家重点实验室,海南海口570228 [2]海南大学信息与通信工程学院,海南海口570228 [3]海南大学海洋科学与工程学院,海南海口570228
出 处:《矿冶工程》2025年第1期1-6,共6页Mining and Metallurgical Engineering
基 金:国家自然科学基金(52231012);海南省重点研发计划(ZDYF2020207);三亚崖州湾深海科技城科研项目(SKJC-2020-01-016)。
摘 要:为研究深海采矿水力提升管道内颗粒的运动特性,提出了一套粒子图像处理技术,包括图像预处理、二值化处理、形态学滤波、颗粒边缘检测、重叠分割等,对水力输送模拟试验中的管道断面颗粒图像进行颗粒信息的识别、提取,并分析颗粒在管道内的分布特征及运动规律。结果表明:管道流体中大颗粒趋向于聚集在流体速度较低的管道壁面,小颗粒主要集中在流体速度较高的管道中心;颗粒的平均速度分布沿管道径向类似于抛物线形状,随着颗粒粒径增大而减小,且从管道中心沿管壁方向逐渐减小。提出的粒子图像处理技术能较好地应用于管内颗粒运动特性分析。To study the motion characteristics of particles in hydraulic lift pipelines during deep⁃sea mining,a set of particle image processing technique was proposed,including image preprocessing,binarization processing,morphological operations,edge detection of particles,and overlapping segmentation.This technique was used to identify and extract particle information from cross⁃sectional images of pipe obtained from hydraulic transportation simulation experiments,and the distribution and motion patterns of particles within the pipeline were also analyzed.The results show that the larger particles tend to aggregate near the pipe wall,where fluid flows at a lower velocity;the smaller particles are mainly concentrated at the center of the pipeline with the fluid at a higher velocity.The distribution of the average particle velocity along the radial direction of the pipeline follows a parabolic law of variation.The average velocity decreases as particle size increases,and also the velocity reaches the maximum at the center of pipe and then gradually decreases towards the wall.It is found that the proposed particle image processing technique can be effective in analyzing the motion characteristics of particles in pipeline.
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