Krauze Oliwia, Buchczik Dariusz, Budzan Sebastian
Department of Measurements and Control, Silesian University of Technology, Akademicka Street 16, 44-100 Gliwice, Poland.
Sensors (Basel). 2021 Jan 19;21(2):667. doi: 10.3390/s21020667.
Moisture of bulk material has a significant impact on energetic efficiency of dry grinding, resultant particle size distribution and particle shape, and conditions of powder transport. As a consequence, moisture needs to be measured or estimated (modelled) in many points. This research investigates mutual relations between material moisture and particle classification process in a grinding installation. The experimental setup involves an inertial-impingement classifier and cyclone being part of dry grinding circuit with electromagnetic mill and recycle of coarse particles. The tested granular material is copper ore of particle size 0-1.25 mm and relative moisture content 0.5-5%, fed to the installation at various rates. Higher moisture of input material is found to change the operation of the classifier. Computed correlation coefficients show increased content of fine particles in lower product of classification. Additionally, drying of lower and upper classification products with respect to moisture of input material is modelled. Straight line models with and without saturation are estimated with recursive least squares method accounting for measurement errors in both predictor and response variables. These simple models are intended for use in automatic control system of the grinding installation.
散装物料的水分对干式研磨的能量效率、最终的粒度分布和颗粒形状以及粉末输送条件有重大影响。因此，需要在多个点测量或估算（建模）水分。本研究调查了研磨装置中物料水分与颗粒分级过程之间的相互关系。实验装置包括一个惯性撞击式分级机和一个旋风分离器，它们是干式研磨回路的一部分，该回路配有电磁磨机和粗颗粒循环装置。测试的粒状物料是粒度为0 - 1.25毫米、相对水分含量为0.5 - 5%的铜矿石，以不同速率输送到装置中。发现输入物料的较高水分会改变分级机的运行。计算得到的相关系数表明，分级较低产物中的细颗粒含量增加。此外，还对分级上下产物相对于输入物料水分的干燥情况进行了建模。考虑到预测变量和响应变量中的测量误差，采用递归最小二乘法估计了有无饱和度的直线模型。这些简单模型旨在用于研磨装置的自动控制系统。
