TY - GEN
T1 - Evaluation of copper ore granularity and flow rate using vibration measurements
AU - Krauze, Oliwia
AU - Pawelczyk, Marek
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/22
Y1 - 2016/9/22
N2 - The research presented in this paper aims at developing a vibration-based method for online measurement of granularity and flow of loose solids. This information is essential for control of industrial milling processes when specific product characteristics is desired. The vibration-measuring approach seems to be a candidate for a cheap and reliable technique among the not-so-many contactless online methods. Experiments were carried out using four granularity classes of milled copper ore and a dedicated test rig. Signal processing was performed in the frequency domain with an algorithm, which takes into account the needs of continuous, real-time measurements. As demonstrated in the paper, the proposed algorithm allows for estimation of grain size and flow rate of the particles that caused the vibrations.
AB - The research presented in this paper aims at developing a vibration-based method for online measurement of granularity and flow of loose solids. This information is essential for control of industrial milling processes when specific product characteristics is desired. The vibration-measuring approach seems to be a candidate for a cheap and reliable technique among the not-so-many contactless online methods. Experiments were carried out using four granularity classes of milled copper ore and a dedicated test rig. Signal processing was performed in the frequency domain with an algorithm, which takes into account the needs of continuous, real-time measurements. As demonstrated in the paper, the proposed algorithm allows for estimation of grain size and flow rate of the particles that caused the vibrations.
KW - copper ore
KW - digital signal processing
KW - particle size evaluation
KW - solids flow measurement
KW - vibration measurements
UR - https://www.scopus.com/pages/publications/84991771910
U2 - 10.1109/MMAR.2016.7575321
DO - 10.1109/MMAR.2016.7575321
M3 - Conference contribution
AN - SCOPUS:84991771910
T3 - 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
SP - 1267
EP - 1272
BT - 2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
Y2 - 29 August 2016 through 1 September 2016
ER -