The contribution of DEM to the science of comminution

Weerasekara, Nirmal; Powell, Malcolm; Cleary, Paul W.; Tavares, Luís Marcelo; Evertsson, Magnus; Morrison, Robert; Quist, Johannes; Carvalho, Rodrigo M. de

doi:10.1016/j.powtec.2013.05.032

Cited by 285 publications

(103 citation statements)

References 96 publications

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“…DEM provides a numerical procedure for solving Newton's second law with an appropriate contact relationship that can be applied to describe the motion of each grinding medium contained in the mill charge to predict element position, velocity and forces of interaction over time. Very good reviews of the method when applied to comminution can be found elsewhere (Cleary, 1998;Weerasekara et al, 2013). The relevance of the method when applied to milling lies in its ability to account for the effects of a number of variables explicitly, including mill speed, mill filling, ball size distribution and liner configuration.…”

Section: Role Of Dem In Advanced Mill Modellingmentioning

confidence: 99%

“…The latter, in which particles are allowed to overlap, is the most commonly used. It is supported by proper constitutive laws describing the contacts, with Hertz-Mindlin being the most commonly used (Weerasekara et al, 2013).…”

Section: Role Of Dem In Advanced Mill Modellingmentioning

confidence: 99%

“…As such, it is unclear how particle capture of sub-DEM particles is addressed, although recent work in which not only grinding media but also fine particles are included in the simulations sheds light into this (Cleary and Morrison, 2011). Indeed, the researchers recognized that developments that remained to be done included dealing with the presence of fine material in ball mills (Weerasekara et al, 2013).…”

Section: Virtual Comminution Machinementioning

confidence: 99%

“…Such information has already been available from careful experimentation or, more commonly, simulations using the discrete element method (DEM), which conveniently allows predicting the distribution of collision energies in a mill (Weerasekara et al, 2013), creating an alternative to the lumped specific energy information used to date to describe size reduction in mills. DEM makes it possible to predict how collisions vary in magnitude and frequency as the geometry, the ball charge and the mill speed are varied.…”

Section: Introductionmentioning

confidence: 99%

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A Review of Advanced Ball Mill Modelling

Tavares¹

2017

KONA

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In the early 1990s the discrete element method (DEM) was used for the first time to simulate media motion in tumbling mills. Although it has been over a quarter of a century since this tool was first used to predict media motion it has not yet reached maturity to be used in predicting product size distribution and throughput of tumbling mills. However, there has not been shortage of attempts to do so. The literature is relatively vast in the topic and researchers who embark in this area of research will find it difficult to understand the current status of development and also the similarities and fundamental differences that exist amongst the various approaches that have been proposed and pursued over the years. The paper reviews the literature on the application of models based on distributed collision energy information to predict size reduction in tumbling mills, in particular ball mills, analyzing critically various approaches proposed, their limitations and achievements, identifying areas that still require development until the technology becomes ready for being used for optimizing and designing ball mills. Finally, the advances recently accomplished on the approach proposed by the author and his co-workers are then reviewed in greater detail.

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Section: Role Of Dem In Advanced Mill Modellingmentioning

confidence: 99%

Section: Role Of Dem In Advanced Mill Modellingmentioning

confidence: 99%

Section: Virtual Comminution Machinementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Review of Advanced Ball Mill Modelling

Tavares¹

2017

KONA

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“…The implementation of DEM for screening process gives an insight to study the particulate systems. DEM simulations have been reported positive results in mineral screening and crop cleaning (Zhu et al 2008;Weerasekara et al 2013;Cleary and Dsinnott 2015;Cleary 2015;Xue et al 2015).…”

Section: Introductionmentioning

confidence: 99%

A study of particles penetration in sieving process on a linear vibration screen

Tong

2015

Int J Coal Sci Technol

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This paper presented an investigation of particle collision and penetration using the discrete element method to understand the motion of particles and improve theoretical treatment in the sieving process. The process progressively was divided into looseness, stratification, collision, and penetration. Particle penetration has a direct effect on the screening performance. The penetration probability was defined, and the mathematical relationships between particle penetration and vibration parameters were established using the least squares method. To obtain the ideal penetration probability for materials the amplitude and frequency should preferably be near 3.0 mm and 25 Hz, respectively. The vibration direction angle has only a slight effect on penetration. The stage of the screening process from 0.1 to 0.7 s is the primary region for collision and penetration. This paper focused on the sieving process to more fully understand how particle collision and penetration influence the screening efficiency.

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Optimization of the Mechanical Comminution – The Crushing Stage

Chimwani

2024

Recovery of Values From Low‐Grade and Complex Minerals

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The contribution of DEM to the science of comminution

Cited by 285 publications

References 96 publications

A Review of Advanced Ball Mill Modelling

A Review of Advanced Ball Mill Modelling

A study of particles penetration in sieving process on a linear vibration screen

Optimization of the Mechanical Comminution – The Crushing Stage

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