[1]蔡园园,房怀英,余文,等.采用数字图像处理的机制砂粒度级配检测方法[J].华侨大学学报(自然科学版),2019,40(5):567-573.[doi:10.11830/ISSN.1000-5013.201903009]
　CAI Yuanyuan,FANG Huaiying,YU Wen,et al.Digital Image Processing Based Particle Size Grading Measurement Method for Machine-Made Sand[J].Journal of Huaqiao University(Natural Science),2019,40(5):567-573.[doi:10.11830/ISSN.1000-5013.201903009]
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采用数字图像处理的机制砂粒度级配检测方法()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第40卷
期数:
2019年第5期
页码:
567-573
栏目:
出版日期:
2019-09-20

文章信息/Info

Title:
Digital Image Processing Based Particle Size Grading Measurement Method for Machine-Made Sand
文章编号:
1000-5013(2019)05-0567-07
作者:
蔡园园1;  房怀英1;  余文1;  黄文景2;  林伟端2;  杨建红1
1. 华侨大学 机电装备过程监测及系统优化福建省高校重点实验室, 福建 厦门 361021;2. 福建南方路面机械有限公司, 福建 泉州 362021
Author(s):
CAI Yuanyuan1;  FANG Huaiying1;  YU Wen1; HUANG Wenjing2;  LIN Weiduan2;  YANG Jianhong1
1. Key Laboratory of Process Monitoring and System Optimization for Mechanical and Electrical Equipment Fujian Province University, Huaqiao University, Xiamen 361021, China; 2. Fujian South Highway Machinery Limited Company, Quanzhou 362021, China
关键词:
机制砂;  数字图像处理;  等效粒径;  粒度级配;  筛分法
Keywords:
machine-made sand;  digital image processing;  equivalent particle size;  particle size grading;  sieving method
分类号:
U414;TP391.4
DOI:
10.11830/ISSN.1000-5013.201903009
文献标志码:
A
摘要:
针对振动筛分法存在筛网破裂和颗粒原有尺寸损坏的不足,开发一套机制砂检测系统.基于数字图像处理的方法,系统提取颗粒的轮廓特征.研究不同的等效粒径表征算法,并采用等效椭圆Feret短径作为等效粒径.对花岗岩和石灰石两种材质的机制砂进行重复性实验.实验结果表明:去除粉尘对降低测量误差有重要作用;系统测量的各粒度区间体积比与筛分法最大误差为3.26%,最大重复性误差为1.80%;细度模数与筛分法最大误差为0.08,最大重复性误差为0.04;花岗岩粒测量结果比石灰石更接近筛分法.
Abstract:
Aiming at the problems of mesh rupture and particle damage in vibrating screening method, a measurement system for machine-made sand grading was developed. The contour features of particles were extracted based on the digital image processing method. Different equivalent particle size characterization algorithms were studied. The equivalent elliptical Feret short diameter was used as the equivalent particle size. The repetitive experiments on the machine-made sand of granite and limestone show that the removal of dust plays an important role in reducing the measurement error. The maximum difference of the particle size interval and the screening method measured by the system is 3.26%, the maximum repeatability error is 1.80%. The maximum bias of fineness modulus from sieving method is 0.08, and the maximum repeatability error is 0.04. The granite grain size measured by the proposed method is closer to the screening method than that of limestone.

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备注/Memo

备注/Memo:
收稿日期: 2019-03-05
通信作者: 房怀英(1978-),女,副教授,博士,主要从事高端机制砂装备的研究.E-mail:happen@hqu.edu.cn.
基金项目: 福建省引导性项目(2018H0021); 福建省自然科学基金资助项目(2017J01108); 福建省泉州市科技计划项目(2018C100R); 华侨大学研究生科研创新能力培育计划资助项目(17014080001)
更新日期/Last Update: 2019-09-20