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Modeling comminution of iron ore concentrates in industrial-scale HPGR.

Authors :
Campos, Túlio M.
Bueno, Gilvandro
Tavares, Luís Marcelo
Source :
Powder Technology. May2021, Vol. 383, p244-255. 12p.
Publication Year :
2021

Abstract

High-pressure grinding rolls have an important role in several iron ore pellet feed preparation circuits. Modeling and simulation are potentially useful tools to improve their performance, but the applicability of mathematical models from the literature in this particular application has not yet been demonstrated, although the model by Torres and Casali has been identified as having good potential. The present work relies on several surveys on four HPGRs with variable diameters (1.4 to 2.25 m) and aspect ratios (0.88 to 1.45) operating in pelletizing plants to test the model originally proposed by Torres and Casali, as well as modifications proposed to it. Inadequacies have been found in the original model, which gave poor predictions of power, throughput and product size distribution along the roll's length. Modification of the power equation, incorporating a machine-dependent correction factor for the nip angle, as well as several modifications to the throughput model, including an expression meant to account for the ejection of material from the edge of the rolls and extrusion, resulted in very good agreement between data from surveys and the model. Finally, incorporation of an empirical correction equation to account for saturation and a more general expression for the roll profile led to good agreement between measured and predicted product size distributions, including their variation along the roll's length. [Display omitted] • Torres and Casali model presented poor results in HPGRs for pellet feed. • Modifications in model resulted in improved predictions of power and throughput. • Trapezoidal axial profile observed on the product described well with new equation. • A modification incorporating saturation resulted in improved prediction of product size. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00325910
Volume :
383
Database :
Academic Search Index
Journal :
Powder Technology
Publication Type :
Academic Journal
Accession number :
149220223
Full Text :
https://doi.org/10.1016/j.powtec.2020.12.075