TY - GEN
T1 - Indirect measurements of milling product quality in the classification system of electromagnetic mill
AU - Buchczik, Dariusz
AU - Wegehaupt, Jan
AU - Krauze, Oliwia
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/19
Y1 - 2017/9/19
N2 - The article presents results of research on evaluation of the quality of material obtained in the milling and classification installation with the electromagnetic mill. Several methods of indirect on-line measurements in the process of separating the recycle stream from the final product stream were investigated. The methods discussed in the paper are moisture content measurements of the milled material using impedance and near infrared absorption methods as well as vibration-based measurements of granularity and flow rate of the material. The experiments performed on the classification system of electromagnetic mill circuit show that indirect methods of moisture measurements provide satisfactory results, whereas vibration-based method fails in this case. The grains of copper ore examined in the experiments (present in the classification circuit during normal operation of the installation) are too small and lightweight and the signal-to-noise-ratio of the recorded acceleration signal is too low for the vibration method to be used.
AB - The article presents results of research on evaluation of the quality of material obtained in the milling and classification installation with the electromagnetic mill. Several methods of indirect on-line measurements in the process of separating the recycle stream from the final product stream were investigated. The methods discussed in the paper are moisture content measurements of the milled material using impedance and near infrared absorption methods as well as vibration-based measurements of granularity and flow rate of the material. The experiments performed on the classification system of electromagnetic mill circuit show that indirect methods of moisture measurements provide satisfactory results, whereas vibration-based method fails in this case. The grains of copper ore examined in the experiments (present in the classification circuit during normal operation of the installation) are too small and lightweight and the signal-to-noise-ratio of the recorded acceleration signal is too low for the vibration method to be used.
KW - electromagnetic mill
KW - impedance moisture sensor
KW - infrared moisture sensor
KW - milling and classification of bulk material
KW - moisture measurement
KW - vibration measurement
UR - https://www.scopus.com/pages/publications/85035361721
U2 - 10.1109/MMAR.2017.8046973
DO - 10.1109/MMAR.2017.8046973
M3 - Conference contribution
AN - SCOPUS:85035361721
T3 - 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
SP - 1039
EP - 1044
BT - 2017 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Methods and Models in Automation and Robotics, MMAR 2017
Y2 - 28 August 2017 through 31 August 2017
ER -