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.
引文
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