NDLI: Measurement-Based Modelling of Material Moisture and Particle Classification for Control of Copper Ore Dry Grinding Process

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Measurement-Based Modelling of Material Moisture and Particle Classification for Control of Copper Ore Dry Grinding Process

Content Provider	MDPI
Author	Krauze, Oliwia Buchczik, Dariusz Budzan, Sebastian
Copyright Year	2021
Description	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.
Starting Page	667
e-ISSN	14248220
DOI	10.3390/s21020667
Journal	Sensors
Issue Number	2
Volume Number	21
Language	English
Publisher	MDPI
Publisher Date	2021-01-19
Access Restriction	Open
Subject Keyword	Sensors Manufacturing Engineering Moisture Moisture Modelling Pneumatic Classification of Particles Particle Size Grinding Electromagnetic Mill Bulk Materials Copper Ore Processing
Content Type	Text
Resource Type	Article

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