DEM modelling of liner evolution and its influence on grinding rate in ball mills

Powell, Malcolm; Weerasekara, Nirmal; Cole, S. L.; LaRoche, Richard D.; Favier, J.F.

doi:10.1016/j.mineng.2010.12.012

Cited by 116 publications

(50 citation statements)

References 20 publications

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“…A first demonstration of a simplified form of the model to calculate breakage rates of a full-scale ball mill has been presented more recently (Powell et al, 2011), although it has not yet been validated for this type of mill.…”

Section: Unified Comminution Modelmentioning

confidence: 99%

“…5. This model has also been used by other researchers (Powell et al, 2011) to estimate mass captured of sub-DEM material in mill simulations. The validity of the model in describing the mass of material captured and the energy distribution in the bed inside the milling environment, however, has not yet been demonstrated, but is the subject of ongoing work in the author's laboratory.…”

Section: G F E T T H F E I F E T G H Imentioning

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: Unified Comminution Modelmentioning

confidence: 99%

Section: G F E T T H F E I F E T G H Imentioning

confidence: 99%

A Review of Advanced Ball Mill Modelling

Tavares¹

2017

KONA

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“…Since the wear parameters for geometrical model, particulate solids, and wear conditions must be accounted for (Roberts and Wiche 1993), D-optimum theory is applied to reduce the number of experimental tests while still finding the optimal model. On the other hand, the numerical simulations based on discrete element method (DEM) can be used to predict wear (Mezhericher, Brosh, and Levy 2011;Powell et al 2011). …”

Section: Wear Reduction Of Bulk Solids Handling Equipmentmentioning

confidence: 99%

Bionic design methodology for wear reduction of bulk solids handling equipment

Chen

Schott

Lodewijks

2016

Particulate Science and Technology

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Large-scale handling of particulate solids can cause severe wear on bulk solids handling equipment surfaces. Wear reduces equipment life span and increases maintenance cost. Examples of traditional methods to reduce wear of bulk solids handling equipment include optimizing transport operations and utilizing resistant materials. To our knowledge, the so-called bionic design has not been utilized. Bionic design is the application of biological models, systems, or elements to modern engineering. Bionic design has promoted significant progress on the development of engineering products and systems. In order to use bionic design for wear reduction of bulk solids handling equipment surfaces, this paper introduces bionic design to bulk solids handling on the basis of analogies between biology and bulk solids handling. In addition, a bionic design methodology for the wear reduction of bulk solids handling equipment surfaces is formulated. Based on the bionic design methodology, two bionic models used for abrasive and erosive wear reduction of bulk solids handling equipment surfaces are proposed.

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“…As the lifter wears, the reduction in its dimensions definitely results in the variation of the impact toe, bulk toe, and the position of shoulder and head. [12][13][14] Besides, many researchers demonstrated that the key location features are highly sensitive to critical mill parameters such as mill speed and filling. [15][16][17] Therefore, it is of economic importance to address the influence of operating parameters and lifter profile on the load behavior.…”

Section: Introductionmentioning

confidence: 99%

Discrete element method simulations of load behavior with mono-sized iron ore particles in a ball mill

Peng

Zhu

Zou

et al. 2017

Advances in Mechanical Engineering

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Aiming at addressing the load behavior of iron ore particles in a ball mill, a design of experimental method was used to define a series of discrete element method simulation conditions with two factors being the mill speed and lifter height. The key feature locations of impact toe, bulk toe, shoulder, and head positions were identified visually to determine the load behavior of the charge. To allow the irregular particle shape to be accurately determined, a quick and accurate sphere-clump method was employed in modeling the geometrical model of irregular shape. The results show that the dependence of the impact toe and head on mill speed is higher than its dependence on the lifter height with a correlation of 20.923 and 0.97, respectively. The shoulder changes approximately invariant with the mill speed and varies little with the lifter height. The bulk toe of particles appears to be invariant to the mill speed as well as the lifter height, resulting in the approximately same inclination of the chord joining the shoulder and bulk toe.

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DEM modelling of liner evolution and its influence on grinding rate in ball mills

Cited by 116 publications

References 20 publications

A Review of Advanced Ball Mill Modelling

A Review of Advanced Ball Mill Modelling

Bionic design methodology for wear reduction of bulk solids handling equipment

Discrete element method simulations of load behavior with mono-sized iron ore particles in a ball mill

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