ISSN 2594-357X
9° Simpósio Brasileiro de Aglomeração de Minérios — vol. 9, num.9 (2023)
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Abstract
Advances in mathematical modeling of HPGRs achieved a prominent position in the minerals industry in the last thirty years. Even though these modeling approaches have been used worldwide for improving HGPR operation for several different applications, their use is still limited to the description of steady-state operation, being unable to capture real-time process variability. The present work takes advantage on recent advances in HPGR phenomenological modeling to use it as a pseudo-dynamic approach describing an industrial HPGR pressing iron ore concentrates coupled with real-time information. Model is validated by capturing real-time variabilities in operating conditions to predict HPGR power, throughput and product Blaine specific surface area (BSA) along a period of twenty four months of operation. Investigation of the model as an online digital assistant showed potential scenarios to reduce the variability of the HPGR product BSA and increase the process efficiency in 19.2%, besides demonstrating feasibility to transfer work from ball milling (upstream process) to the HPGR.
Advances in mathematical modeling of HPGRs achieved a prominent position in the minerals industry in the last thirty years. Even though these modeling approaches have been used worldwide for improving HGPR operation for several different applications, their use is still limited to the description of steady-state operation, being unable to capture real-time process variability. The present work takes advantage on recent advances in HPGR phenomenological modeling to use it as a pseudo-dynamic approach describing an industrial HPGR pressing iron ore concentrates coupled with real-time information. Model is validated by capturing real-time variabilities in operating conditions to predict HPGR power, throughput and product Blaine specific surface area (BSA) along a period of twenty four months of operation. Investigation of the model as an online digital assistant showed potential scenarios to reduce the variability of the HPGR product BSA and increase the process efficiency in 19.2%, besides demonstrating feasibility to transfer work from ball milling (upstream process) to the HPGR.
Keywords
HPGR; Iron ore concentrates; Online modeling; Simulation
HPGR; Iron ore concentrates; Online modeling; Simulation
How to refer
Campos, Túlio Moreira.
A NOVEL HPGR ONLINE MODEL COUPLED WITH REALTIME INFORMATION APPLIED AS A DIGITAL ASSISTANT IN INDUSTRIAL-SCALE PRESSING OF IRON ORE CONCENTRATES
,
p. 200-208.
In: 9° Simpósio Brasileiro de Aglomeração de Minérios,
São Paulo,
2023.
ISSN: 2594-357X
, DOI 10.5151/2594-357X-39401
