Efficient Scale Up Of Sensor Based Sorting Systems

Canadian Institute of Mining, Metallurgy and Petroleum
J. Kolacz
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
10
File Size:
1094 KB
Publication Date:
Jan 1, 2016

Abstract

"A new sensor based sorting system has been developed, providing a possibility for laboratory scale testing and further scale-up of the separation results to the industrial operation. The new system contains different sensors as: X-ray detectors, visible light cameras, NIR cameras, ultraviolet cameras and magnetic sensors, in the same sorting unit. The sorting unit allows advanced calibration options and fine-tuning of the installed sensors to achieve the best separation effect under controlled conditions. Finally, the processed material can be analysed and separated by the rejection mechanism, similarly to the industrial scale operation. At the same time, the process is carried out with limited amount of material allowing detailed statistical calculations for processed particles and all sensor types. The optimal settings and sensor types are specified for the industrial application.The paper describes the scale up of the results achieved for iron ore and coal, where the test work was first carried out using the new laboratory sorting system and where the industrial scale sorting system has been built, in the final stage. The industrial scale sorting results showed a very good correlation between the laboratory and full scale operation. Thanks to the detailed study carried out in the laboratory equipment, the settings of the sensors in the full scale operation provided much better separation efficiency. It was especially important to provide proper setting for the X-ray sensor data calculations, which can be very critical for achieving the best results. During the industrial scale sorting of coal, the input material had 40-55% rock particles as the direct source of ash in the coal stream. The optimal laboratory unit settings and transferring these settings to the industrial sorter, provided 98.8% efficiency for removing rock particles with only few % losses of coal."
Citation

APA: J. Kolacz  (2016)  Efficient Scale Up Of Sensor Based Sorting Systems

MLA: J. Kolacz Efficient Scale Up Of Sensor Based Sorting Systems. Canadian Institute of Mining, Metallurgy and Petroleum, 2016.

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