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VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN='8th ECIC & 9th ICSTI 2022':MAILTO:info@ecic-icsti.com
LOCATION:Room „Danzig“
SUMMARY:Computer aided multidisciplinary approach to monitor and control pellet fines flow in the pellet blast furnace ironmaking
DESCRIPTION:Ironmaking pellets transported overseas are usually moist to prevent dust emissions during vessel loading. Dust generation cannot be avoided when pellets collide on conveyor system parts and when they move in contact with each other starting from the pellet incineration line and ending in the blast furnace (BF). Due to restrictions in available field area or construction costs, large pellet storage silos are not optimized with respect to fines flow behavior. Their operation often leads to the accumulation of fines and the discharge of sudden pulses of fines. Pellet fines pulses together with moisture create sieving problems prior to the BF and in the BF process itself by impairing burden permeability and, in consequence, BF stability. If the share of fines in the feed is constant, it is possible to fine-tune the sieving practice and charging pattern in the BF to maintain a proper permeability distribution. To tackle the uneven fines discharge-related problem, the behavior of fines in silos during sequential charge and discharge cycles was modeled with the Discrete Element Method (DEM). Based on the modeling results, a new systematic practice to fill and discharge the storage silos was applied in the automation system. To measure the amount of fines in the pellet stream discharged from large storage silos, an optical image analysis measurement on the bottom of the conveyor line was developed. In addition, the separated fines originating from multiple simultaneously operating sieving machines were analyzed with respect to pellet quality with a newly installed conveyor balance and simple delay model. By combining information from the extracted flow of fines with measurements of pellet moisture, the fines flow to the BF is estimated, and the information can be used for taking appropriate actions to guarantee BF operation stability.
CLASS:PUBLIC
DTSTART:20220831T111000
DTEND:20220831T113500
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