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Online prediction of pressing iron ore concentrates in an industrial HPGR. Part 2: Digital assistant

Campos, Túlio M. et al · Pergamon-Elsevier Science Ltd · 2023

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Besides the recent advances in high-pressure grinding rolls (HPGR) technology, the good track record demonstrates the potential growth in its applications in the future. In this regard, challenges are emerging driven by technology improvements and the increasing demand for a proper understanding of the operation and optimization of the grinding process in different scenarios. To fill this gap, new dynamic modeling and simulation approaches have been evolving to capture information of the process in real-time using online tools. However, proper application of these models as online digital assistants is still missing. The present work applies the online modeling approach proposed by the authors in the first part of this series as a digital assistant. The digital assistant receives real-time information of an industrial-scale HPGR pressing of iron ore concentrates and uses the Modified Torres and Casali model to predict the main HPGR performance variables. At first, a quantitative description of the HPGR hydro-pneumatic pressurizing system is calibrated and validated describing the relationship between hydraulic pressure and gap in the industrial machine. Feasibility of applying the online model as a digital assistant was demonstrated from two simulation case studies by providing setpoints of hydraulic pressure based on real-time changes in HPGR feed BSA, with the aim of reducing the variabilities of the HPGR product BSA and absorbing a coarser feed BSA. Fil: Campos, Túlio M.. Universidade Federal do Rio de Janeiro; Brasil Fil: Petit, Andres. Universidade Federal do Rio de Janeiro; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. Sede Olavarría del Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires | Universidad Nacional del Centro de la Pcia. de Bs.as. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. Sede Olavarría del Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina

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APA 7

Campos, T. M. E. A. (2023). Online prediction of pressing iron ore concentrates in an industrial HPGR. Part 2: Digital assistant. http://hdl.handle.net/11336/251755

MLA

Campos, Túlio M. et al. "Online prediction of pressing iron ore concentrates in an industrial HPGR. Part 2: Digital assistant." 2023. http://hdl.handle.net/11336/251755.

Chicago

Campos, Túlio M. et al. 2023. "Online prediction of pressing iron ore concentrates in an industrial HPGR. Part 2: Digital assistant.". http://hdl.handle.net/11336/251755.

Harvard

Campos, T. M. E. A. 2023, Online prediction of pressing iron ore concentrates in an industrial HPGR. Part 2: Digital assistant, Pergamon-Elsevier Science Ltd, available at: http://hdl.handle.net/11336/251755 [Accessed 7 Aug. 2026].

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Title
Online prediction of pressing iron ore concentrates in an industrial HPGR. Part 2: Digital assistant
Author / contributors
Campos, Túlio M. et al
Publisher
Pergamon-Elsevier Science Ltd
Publication year
2023
ISSN
0892-6875
ISSN
0892-6875
Language
English

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