Ball mill simulation in wet grinding using a tumbling mill and its correlation to grinding rate

Mori, Hidemaro; Mio, Hiroshi; Kano, Junya; Sanda, Fumio

doi:10.1016/j.powtec.2004.04.029

Cited by 83 publications

(29 citation statements)

References 17 publications

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“…The value of DEM hitherto is demonstrated by the broad variety of applications reported in the literature and the wide range of industries where it has been applied, such as chemicals, pharmaceuticals, ceramics, metal, food and agricultural. Many DEM simulations have been published in the literature modelling diverse granular processes such as comminution (Djordjevic et al, 2003;Mori et al, 2004;Gudin et al, 2006;Powell et al, 2008;Tavares and Carvalho, 2009), granulation (Gantt and Gatzke, 2005;Hassanpour et al, 2009;Nakamura et al, 2009 ), flow in a hopper (Cleary and Sawley, 2003;Anand et al, 2008;Ketterhagen et al,2009;, die filling for tableting (Wu, 2008;Guo et al 2010), fracture of agglomerates (Kafui et al, 1994;Thornton et al,1996;Ning et al, 1997;Liu et al, 2010), packing of † particles (Matuttis et al, 2000;Zhang et al, 2001;Dutt et al, 2005;Lochmann et al, 2006;Fu et al, 2006;Aste et al, 2007), bulk compression of particles (Foo et al, 2004;Hassanpour and Ghadiri, 2004;Samimi et al, 2005;Markauskas and Kacianauskas, 2006;Mehrotra et al, 2009), flow in screw extruders and conveyers (Moysey and Thompson, 2005;Owen and Cleary, 2009), vibratory screening, filling of dragline bucket, conveyor belt design, earth-mover bulldozer plate design (Cleary, 2000(Cleary, , 2010Zhang et al, 2008). Another significant application for DEM simulations has been to study the mixing of granular materials, which is still poorly understood and is almost certainly carried out in non-optimal fashion...…”

Section: Introduction: Dem As a Possible Tool For Industrial Applicatmentioning

confidence: 99%

Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets

Marigo

Stitt

2015

KONA

191

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As a consequence of increasing computer power and more readily useable commercial and open source codes, Discrete Element Method (DEM) is becoming widely used across a range of applications to simulate increasingly complex processes. This is exacerbating the challenge of setting up simulations for industrial applications. The literature on input parameter selection is divided. A number of papers report methods for their direct measurement. Others, by contrast, propose a "calibration" approach where the particle properties are derived as adjustable parameters by quantitative comparison of experimental and simulation results. This paper reports on the calibration and validation of the input parameters for the specific case of cylindrical tablets represented by conjoined spheres. The initial steps are to not only assign and optimise the DEM input parameters but also optimise the shape representation; what degree of linearity of the edges and angularity of the corners are required to accurately reflect the cylindrical shape. The model was used to simulate two configurations of a rotating drum: an "attrition tester" with a single longitudinal baffle and an un-baffled drum. The results were compared qualitatively and quantitatively with experimental data. While the qualitative comparison was good in most cases, detailed quantitative comparison fared less well, with some significant errors. This study highlights some of the key issues for a wider-spread of industrial applications for DEM.

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Section: Introduction: Dem As a Possible Tool For Industrial Applicatmentioning

confidence: 99%

Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets

Marigo

Stitt

2015

KONA

191

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“…Recent studies have modeled milling processes to predict mill performance by analyzing particle interactions obtained from DEM as discussed below. The simplest approaches correlate an experimentally determined specific breakage rate constant to the total or average impact energy associated with collisions of the grinding media (Hoyer, 1999;Kano and Saito, 1998;Kwan et al, 2005;Mori et al, 2004). More advanced studies predict the specific breakage rate constant by correlating the impact energy obtained from DEM to a broken mass of particles which is experimentally determined from particle bed drop-ball tests (Bwalya et al, 2001;Datta and Rajamani, 2002;Wang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Insight into first-order breakage kinetics using a particle-scale breakage rate constant

Capece

Bilgili

Davé

2014

Chemical Engineering Science

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“…Resorting to empiricism, some researchers have attempted to couple either the total or an average collision energy or power obtained using DEM to breakage rates or other measures of breakage intensity from batch grinding experiments (Kano and Saito, 1998;Mori et al, 2004;Kwan et al, 2005;Lee et al, 2010).…”

Section: Models That Use Lumped Information From Demmentioning

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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Ball mill simulation in wet grinding using a tumbling mill and its correlation to grinding rate

Cited by 83 publications

References 17 publications

Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets

Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets

Insight into first-order breakage kinetics using a particle-scale breakage rate constant

A Review of Advanced Ball Mill Modelling

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