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

Article Engineering, Chemical

Coupled DEM-MBD-PRM simulations of high-pressure grinding rolls. Part 1: Calibration and validation in pilot-scale

Victor Alfonso Rodriguez et al.

Summary: Despite important developments in mathematical modeling, predicting the performance of high-pressure grinding rolls (HPGRs) remains a challenge. Simulation using discrete element method (DEM) and multibody dynamics (MBD) has shown promise, but there are few studies validating its effectiveness.

MINERALS ENGINEERING (2022)

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Article Engineering, Chemical

Coupled DEM-MBD-PRM simulations of high-pressure grinding rolls. Part 2: Investigation of roll skewing

Victor A. Rodriguez et al.

Summary: This study combines the discrete element method (DEM) and multi-body dynamics (MBD) to describe the two-dimensional motion of the floating roll in roll skewing, allowing for predictions of HPGR operation. Results show that allowing skewing in the presence of uneven feed can lead to a more uniform force profile along the bed and product fineness along the length of the rolls.

MINERALS ENGINEERING (2022)

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Article Engineering, Chemical

Modeling comminution of iron ore concentrates in industrial-scale HPGR

Tulio M. Campos et al.

Summary: High-pressure grinding rolls play an important role in iron ore pellet feed preparation circuits. Studies have shown inadequacies in the original model for predicting power, throughput, and product size distribution, leading to modifications that significantly improved the agreement between data and the model. Incorporating machine-dependent correction factors, as well as empirical equations, resulted in a more accurate prediction of product size distributions along the roll's length.

POWDER TECHNOLOGY (2021)

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Article Engineering, Chemical

Axial pressure distribution, flow behaviour and breakage within a HPGR investigation using DEM

Paul W. Cleary et al.

Summary: The pressure distribution between the rolls in a HPGR is expected to vary significantly in the axial direction, potentially reducing equipment performance efficiency. However, experimental measurement of this axial pressure distribution and its consequences for breakage efficiency is challenging. Using DEM to predict the flow and breakage of particles within HPGR is a feasible solution.

MINERALS ENGINEERING (2021)

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Article Engineering, Chemical

Relationships between particle breakage characteristics and comminution response of fine iron ore concentrates

Tulio M. Campos et al.

Summary: This study examines the application of single particle testing methods for characterizing breakage of iron ore concentrates, and analyzes the response of particles when assembled in beds through piston-and-die testing, bench-scale ball mill, and high-pressure grinding rolls. Relationships between the results in different devices representing various levels of particle interaction are analyzed in terms of energy utilization. Furthermore, the implications of differences in particle characteristics on the observed differences in breakage response are also explored.

MINERALS ENGINEERING (2021)

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Article Geochemistry & Geophysics

Investigation of Lateral Confinement, Roller Aspect Ratio and Wear Condition on HPGR Performance Using DEM-MBD-PRM Simulations

Victor Alfonso Rodriguez et al.

Summary: This study simulated the performance of a pilot-scale HPGR grinding pellet feed, showing that rotating side plates with studs can result in more uniform forces and product size, as well as higher throughput.

MINERALS (2021)

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Article Engineering, Chemical