Performance Assessments of an Advanced Control System in an Iron Ore Industrial Grinding Circuit

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Publikašuvnnas:Minerals vol. 15, no. 11 (2025), p. 1172-1190
Váldodahkki: Costa, Pamela Karem
Eará dahkkit: Vaz, Patricia Nogueira, Ferreira, Calixto Marcelo, Torga Diego Santana, Bergerman Mauricio Guimaraes, Delboni Homero Jr.
Almmustuhtton:
MDPI AG
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022 |a 2075-163X 
024 7 |a 10.3390/min15111172  |2 doi 
035 |a 3275544304 
045 2 |b d20250101  |b d20251231 
084 |a 231539  |2 nlm 
100 1 |a Costa, Pamela Karem  |u Mineração Usiminas, Itatiaiuçu 35685-000, MG, Brazil 
245 1 |a Performance Assessments of an Advanced Control System in an Iron Ore Industrial Grinding Circuit 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Optimizing beneficiation processes in the iron ore industry is essential to meet increasing demand while dealing with declining ore grade. Since grinding has a major impact on product quality and production costs, the implementation of Advanced Process Control (APC) emerges as an effective strategy to enhance efficiency and operational stability. This study quantifies the operational improvements achieved after the implementation of an APC system in the ball grinding circuit of the Mineração Usiminas industrial processing plant. The assessment was based on an ON/OFF test conducted over 67 days, during which operational data were collected for periods with the APC system enabled and disabled, supported by statistical tests and a literature review. The results show significant improvements in both stability and throughput under the unconstrained operating scenario. The standard deviation of the hydrocyclone feed pulp density setpoint decreased by 63%, while the circuit throughput increased from 541 to 571 tph. Moreover, the specific energy consumption was reduced by more than 5% in the same scenario. These findings demonstrate the tangible benefits of implementing Advanced Process Control in industrial grinding operations. 
610 4 |a Usiminas 
653 |a Beneficiation 
653 |a Specific energy 
653 |a Control systems 
653 |a Iron ores 
653 |a Operating costs 
653 |a Iron compounds 
653 |a Hydrocyclones 
653 |a Statistical tests 
653 |a Performance testing 
653 |a Anniversaries 
653 |a Environmental impact 
653 |a Iron 
653 |a Statistical analysis 
653 |a Performance evaluation 
653 |a Energy consumption 
653 |a Production costs 
653 |a Internet of Things 
653 |a Literature reviews 
653 |a Product quality 
653 |a Process control 
653 |a Artificial intelligence 
653 |a Mineral processing 
653 |a Grinding 
653 |a Process controls 
653 |a Sustainability 
653 |a Energy efficiency 
653 |a Particle size 
653 |a Stability 
653 |a Performance assessment 
653 |a Industry 4.0 
700 1 |a Vaz, Patricia Nogueira  |u Núcleo Interdisciplinar de Análise de Sinais—NIAS, Department of Electrical Engineering, Federal University of Viçosa, Viçosa 36570-900, MG, Brazil; patricia.nvaz@gmail.com 
700 1 |a Ferreira, Calixto Marcelo  |u Mineração Usiminas, Itatiaiuçu 35685-000, MG, Brazil 
700 1 |a Torga Diego Santana  |u ANDRITZ, Belo Horizonte 30112-021, MG, Brazil; diego.torga@andritz.com 
700 1 |a Bergerman Mauricio Guimaraes  |u Department of Mining and Petroleum Engineering, Polytechnical School, University of São Paulo, São Paulo 05508-030, SP, Brazil; mbergerman@gmail.com (M.G.B.); 
700 1 |a Delboni Homero Jr.  |u Department of Mining and Petroleum Engineering, Polytechnical School, University of São Paulo, São Paulo 05508-030, SP, Brazil; mbergerman@gmail.com (M.G.B.); 
773 0 |t Minerals  |g vol. 15, no. 11 (2025), p. 1172-1190 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3275544304/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3275544304/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3275544304/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch