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

ABSTRACT: 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

SUBMITTER: Krauze O 

PROVIDER: S-EPMC7833444 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature