Validation of the discrete element method (DEM) by comparing predicted load behaviour of a grinding mill with measured data

Moys, M.H.; Nierop, M.A. van; Tonder, J.C. van; Glover, G.

doi:10.1016/s0167-4528(00)80014-9

Cited by 8 publications

(2 citation statements)

References 4 publications

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“…It is known that several sets of plausible contact parameters can approximately match the measured mill power, but with reasonably distinct patterns of media motion (Martins et al, 2012;Chagas et al, 2015). Positions of toe and shoulder of the charge, monitored by video recordings of batch mills fitted with a transparent end covers (Moys et al, 2000;Venugopal and Rajamani, 2001), the position and velocity of an instrumented ball (Martins et al, 2012) or of an irradiated ball using positron emission particle tracking (PEPT) (Govender et al, 2013;Chagas et al, 2015), are excellent alternatives to be used in conjunction with net mill power to calibrate contact parameters for effective mill simulations.…”

Section: Role Of Dem In Advanced Mill Modellingmentioning

confidence: 99%

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%

A Review of Advanced Ball Mill Modelling

Tavares¹

2017

KONA

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“…Modelling of grinding media motion using discrete element methods is now a current practice (Moys, van Nierop, van Tonder, & Glover, 2000;Inoue & Okaya, 2000). It is mainly used for a better understanding of load behaviour, breakage mechanisms and energy dissipation, and for design purpose.…”

Section: Process Modelsmentioning

confidence: 99%

State of the art and challenges in mineral processing control

Hodouin

Jämsa-Jounela²,

Carvalho

et al. 2000

IFAC Proceedings Volumes

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The objective of process control in the mineral industry is to optimise the recovery of the valuable minerals, while maintaining the quality of the concentrates delivered to the metal extraction plants. The paper presents a survey of the control approaches for ore size reduction and mineral separation processes. The present limitations of the measurement instrumentation are discussed, as well as the methods to upgrade the information delivered by the sensors. In practice, the overall economic optimisation goal must be hierarchically decomposed into simpler control problems. Model-based and AI methods are reviewed, mainly for grinding and flotation processes, and classified as mature, active or emerging.

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DEM modeling of ball mills with experimental validation: influence of contact parameters on charge motion and power draw

Boemer

Ponthot

2016

Comp. Part. Mech.

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Validation of the discrete element method (DEM) by comparing predicted load behaviour of a grinding mill with measured data

Cited by 8 publications

References 4 publications

A Review of Advanced Ball Mill Modelling

A Review of Advanced Ball Mill Modelling

State of the art and challenges in mineral processing control

DEM modeling of ball mills with experimental validation: influence of contact parameters on charge motion and power draw

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