Formulation of a physically motivated specific breakage rate parameter for ball milling via the discrete element method

Capece, Maxx; Bilgili, Ecevit; Davé, Rajesh N.

doi:10.1002/aic.14451

Cited by 44 publications

(25 citation statements)

References 48 publications

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“…This is generally considered to be a valid assumption if the fractional mill filling of the media interstices is equal to 1 or higher. The approaches of Tuzcu and Rajamani (2011) and Capece et al (2014) do not require this assumption by including powder particles in the simulations.…”

Section: Microscale Pbm Formulations Based On Breakage Probabilitymentioning

confidence: 99%

“…The approach proposed by Vogel and Peukert (2004) and the Weibull distribution has attracted significant attention, being used, either directly or modified, in describing breakage probability in several approaches (Concas et al, 2006;Morrison and Cleary, 2008;Tuzcu and Rajamani, 2011;Capece et al, 2014), in particular owing of its simplicity, with only two fitting parameters. This model (Eqn.…”

Section: Fracture Probability Distributionsmentioning

confidence: 99%

“…Nevertheless, it is worth mentioning that the increase in computing power in recent years has enticed researchers to include both grinding media and powder in some simulations of small ball mills, which has been particularly useful to understand the collision frequencies and energies involved in media-particle contacts (Cleary and Morrison, 2011;Wang et al, 2012;Capece et al, 2014). This type of simulations, however, represents a challenge in gathering collision information, since the event of a particle being nipped by two colliding media is logged as two separate collisions of lower magnitude.…”

Section: Role Of Dem In Advanced Mill Modellingmentioning

confidence: 99%

“…11 and 12 and collision energy spectra from 2D DEM simulations. Capece et al (2014) proposed yet another method to calculate the breakage rates, also using Eqn. 10:…”

Section: Microscale Pbm Formulations Based On Breakage Probabilitymentioning

confidence: 99%

“…Several researchers (Datta and Rajamani, 2002;Tavares and Carvalho, 2009;Capece et al, 2014) use the dissipated energies as the basis of their simulations. Using the model approach and data by Datta and Rajamani (2002), Wang et al (2012) concluded that the kinetic energies in the collision were the type of information that could most reliably predict the batch mill performance.…”

Section: Collision Energiesmentioning

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: Microscale Pbm Formulations Based On Breakage Probabilitymentioning

confidence: 99%

Section: Fracture Probability Distributionsmentioning

confidence: 99%

Section: Role Of Dem In Advanced Mill Modellingmentioning

confidence: 99%

“…11 and 12 and collision energy spectra from 2D DEM simulations. Capece et al (2014) proposed yet another method to calculate the breakage rates, also using Eqn. 10:…”

Section: Microscale Pbm Formulations Based On Breakage Probabilitymentioning

confidence: 99%

Section: Collision Energiesmentioning

confidence: 99%

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A Review of Advanced Ball Mill Modelling

Tavares¹

2017

KONA

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Experimental and numerical study on a bubbling fluidized bed with wet particles

Wang

Tang

et al. 2016

AIChE Journal

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As liquid bridge between particles acts an important role in the particle system, it is of considerable significance to analyze the flow hydrodynamics of wet particles in fluidized beds, which will improve the reactor design and process optimization. Thus, experimental and numerical investigations on wet particles in a bubbling fluidized bed are conducted in current work. On experimental side, particle image velocimetry (PIV) technology is employed with a designed bubbling fluidized bed. The silicone oil is used in this work because it is nonvolatile and transparent. On numerical side, a modified discrete element method (DEM) numerical method is developed by compositing an additional liquid‐bridge module into the traditional soft‐sphere interaction model. Most of the physical parameters are chosen to correspond to the experimental settings. Good agreements of particle velocity are found between the DEM simulation and PIV measurement. The performance of different liquid contents and superficial gas velocities are examined. © 2016 American Institute of Chemical Engineers AIChE J, 62: 1970–1985, 2016

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DEM–PBM modeling of abrasion dominated ribbon breakage

Loreti

Reynolds

et al. 2017

AIChE Journal

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In dry granulation, fine cohesive powders are compacted into large multi‐particle entities, i.e., briquettes, flakes, or ribbons. The powder compaction is generally followed by milling, a size reduction process, which is crucial to obtain the desired granule size or properties. Abrasion and impact are two primary mechanisms of comminution in ribbon milling, but they are not completely understood. The aim of this article was hence to investigate numerically the fragmentation process induced by abrasion during ribbon milling. The discrete element method (DEM) was employed to simulate abrasion tests, for which three‐dimensional parallelepiped ribbons were generated using auto‐adhesive elastic spheres. The fragmentation rate, and the fragments size and number were determined for various surface energies and abrasive velocities. The DEM results showed that the mass‐equivalent fragment size distributions were bi‐modal, similar to the experimental observations and the numerical results for impact‐dominated ribbon milling reported in the literature. In addition, two quantities were determined from the DEM analysis, i.e., the number of large fragments and the fraction of fines, which was then integrated into the population balance models (PBM) so that a DEM–PBM multiscale modeling framework was developed to predict the granule size distribution during ribbon milling. The DEM–PBM results were compared with the experimental results reported in the literature, and a broad agreement was obtained, implying the proposed DEM–PBM can be used to analyse the ribbon milling behavior. © 2017 American Institute of Chemical Engineers AIChE J, 64: 1191–1204, 2018

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Formulation of a physically motivated specific breakage rate parameter for ball milling via the discrete element method

Cited by 44 publications

References 48 publications

A Review of Advanced Ball Mill Modelling

A Review of Advanced Ball Mill Modelling

Experimental and numerical study on a bubbling fluidized bed with wet particles

DEM–PBM modeling of abrasion dominated ribbon breakage

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