采用数字图像处理的机制砂粒度级配检测方法
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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.
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.
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.
引文
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[2] CHEN Lumin,CHEN Zhen,FENG Ansheng.Image analysis algorithm and verification for on-line molecular sieve size and shape inspection[J].Advanced Powder Technology,2014,25(2):508-513.DOI:10.1016/j.apt.2013.08.004.
[3] YANG Jianhong,CHEN Sijia.An online detection system for aggregate sizes and shapes based on digital image processing[J].Mineralogy and Petrology,2017,111(1):1-10.DOI:10.1007/s00710-016-0458-y.
[4] HAMZELOO E,MASSINAEI M,MEHRSHAD N.Estimation of particle size distribution on an industrial conveyor belt using image analysis and neural networks[J].Powder Technology,2014,261:185-190.DOI:10.1016/j.powtec.2014.04.038.
[5] 秦海青,雷晓旭,刘文平,等.纳米硅粉颗粒粒径的测试方法研究[J].超硬材料工程,2017,29(1):23-26.DOI:10.3969/j.issn.1673-1433.2017.01.012.
[6] 张春华,郭亨群,宋志华,等.纳米碳化钨粉体的粒度表征[J].华侨大学学报(自然科学版),2010,31(4):388-391.DOI:10.11830/issn.1000-5013.2010.04.0388.
[7] KUMARA G,HAYANO K,OGIWARA K.Image analysis techniques on evaluation of particle size distribution of gravel[J].International Journal of Geomate Geotechnique Construction Materials and Environment,2012,3(1):290-297.DOI:10.21660/2012.5.1261.
[8] KUMARA J J,HAYANO K,KIKUCHI Y.Evaluation of area-and volume-based gradations of sand-crushed stone mixture by 2D images[J].KSCE Journal of Civil Engineering,2017,21(3):774-781.DOI:10.1007/s12205-016-1765-x.
[9] SULAIMAN M S,SINNAKAUDAN S K,NG S F,et al.Application of automated grain sizing technique (AGS) for bed load samples at Rasil River:A case study for supply limited channel[J].Catena,2014,121(5):330-343.DOI:10.1016/j.catena.2014.05.013.
[10] ZHENG Junxing,HRYCIWR D.Soil particle size and shape distributions by stereophotography and image analysis[J].Geotechnical Testing Journal,2017,42(2):1-14.DOI:10.1520/GTJ20160165.
[11] BAPTISTA P,CUNHA T R,GAMA C,et al.A new and practical method to obtain grain size measurements in sandy shores based on digital image acquisition and processing[J].Sedimentary Geology,2012,282(1):294-306.DOI:10.1016/j.sedgeo.2012.10.005.
[12] BAGHERI G H,BONADONNA C,MANZELLA I,et al.On the characterization of size and shape of irregular particles[J].Powder Technology,2015,270:141-153.DOI:10.1016/j.powtec.2014.10.015.
[13] LI Daming,LI Yangyang,WANG Zhichao,et al.Quantitative,SEM-based shape analysis of sediment particles in the Yellow River[J].International Journal of Sediment Research,2016,31(4):67-76.DOI:10.1016/j.ijsrc.2016.05.006.
[14] 陈红,唐立模,陈珺,等.基于RGB图像的泥沙颗粒粒径测试技术研究[J].泥沙研究,2015(1):25-29.DOI:10.16239/j.cnki.0468-155x.2015.01.005.
[15] 吴金辉.干法制砂工艺机制砂含水量控制技术研究[J].铁道建筑技术,2017(4):127-129.DOI:10.3969/j.issn.1009-4539.2017.04.029.
[16] 陈琦.石粉含量对C30机制砂混凝土性能的影响研究[J].福建建设科技,2018,162(5):46-48.DOI:10.3969/j.issn.1006-3943.2018.05.011.
[17] 中华人民共和国交通部.公路工程集料试验规程:JTG E42-2005[S].北京:人民交通出版社,2005.