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

Rodriguez, Victor A.; Barrios, Gabriel K.P.; Bueno, Gilvandro; Tavares, Luís Marcelo

doi:10.1016/j.mineng.2021.107389

Cited by 17 publications

(28 citation statements)

References 39 publications

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“…As presented in detail in recent publications by the authors (Rodriguez et al, 2022a;2022b), outputs provided by the DEM simulations correspond to total power (P DEM ), total throughput (Q DEM ), compressive axial force profile in the region between the gap and the nip angle (F k ), and axial mass flowrate profile in the region between the gap and the nip angle (V k ).…”

Section: Proposed Hybrid Modelmentioning

confidence: 99%

“…Simulations using DEM were carried out coupled to multibody dynamics (MBD), describing the translation of the movable roll, and particle replacement method (PRM), following the approach proposed and adopted as part of earlier studies by the authors (Rodriguez et al, 2021;2022a). In the present work, DEM simulations were carried out using the commercial software Altair EDEM version 2020.3.…”

Section: Coupled Dem-mbd-prm Simulationsmentioning

confidence: 99%

“…Due to the large number of particles demanded in HPGR simulations, the authors selected a coarser particle size distribution, with a top size 8 mm, to represent the iron ore pellet feed. This approach was already successfully used in this application in previous studies 2022a). From this and bench-scale tests, which included measurement of the static and dynamic angles of repose (Rodriguez et al, 2022a), material and contact parameters were calibrated (Table 3).…”

Section: Materials Propertiesmentioning

confidence: 99%

“…In particular, laboratory-and pilot-scale DEM simulations of HPGRs allowed to describe the effect of feed size distribution, roll dimensions and speed, applied specific force, besides features such as lateral confinement, roll wear profile and feed segregation. These have then been used to predict performance variables that include throughput, working gap, power consumption and compressive force profile along the rolls, besides skewing (Barrios and Tavares, 2016;Cleary and Sinnott, 2021;Nagata et al, 2020;Quist and Evertsson, 2012;Rodriguez et al, 2021;2022a;2022b).…”

Section: Introductionmentioning

confidence: 99%

“…The present work proposes a hybrid modelling approach, through which HPGR throughput and power are described as a function of roll axial position for a given set of design and operating conditions through coupled DEM-MBD-PRM simulations (Rodriguez et al, 2022a;2022b), whereas size reduction is also predicted as a function of roll axial position using PBM considering the breakage distribution and selection functions. The approach has been applied to a base case, consisting of a pilot-scale HPGR in size reduction of iron ore pellet feed with 80 % passing size as fine as 103 μm, from which model parameters have been fitted.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid PBM-DEM Model of High-Pressure Grinding Rolls Applied to Iron Ore Pellet Feed Pressing

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Mathematical models of high-pressure grinding rolls (HPGR) have attracted great attention, owing to their role in optimization of operating machines as well as in the design and selection of new ones. Although population balance models (PBM) and the discrete element method (DEM) have been used in this task, both suffer from important limitations. Whereas PBMs have challenges associated to the prediction of operating gap and to the validity of several of its assumptions in different formulations in the literature, application of DEM has its own challenges, in particular when fed with distributions containing large amounts of fines. This work proposes a hybrid approach in which the coupling of DEM to particle replacement models and multibody dynamics is used to predict operating gap, throughput and power, as well as providing information along the rolls length that is used in PBM to predict the product fineness. The hybrid approach is then compared to both DEM and a PBM (Modified Torres and Casali), demonstrating similar results to the later when applied to simulating a pilot-scale machine operating under different conditions, but improved prediction when applied in scale-up to an industrial-scale HPGR.

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Section: Proposed Hybrid Modelmentioning

confidence: 99%

Section: Coupled Dem-mbd-prm Simulationsmentioning

confidence: 99%