On the determination of contact parameters for realistic DEM simulations of ball mills

Mishra, B.K.; Murty, C. V. R.

doi:10.1016/s0032-5910(00)00347-8

Cited by 127 publications

(55 citation statements)

References 12 publications

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“…This problem is not straightforward since the absence of powder (ore) in the DEM simulations would need to be compensated by modifying some-if not all-of the contact parameters that govern the contacts between balls and between them and the mill liners. This can only be accomplished by proper contact parameter estimation, which is reviewed elsewhere (Mishra and Murty, 2001). As such, the user should be aware that apparent contact parameters and not standard parameters for steel-steel contacts (whenever steel media are used), for instance, should be used in these simulations, given the dissipative effect of the background powder.…”

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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“…Mishra and Murty (2001) derived an equation for calculating the value for spring constant if the maximum acceptable overlap and maximum contact velocity in a system is known:…”

Section: Spring Constantmentioning

confidence: 99%

Development of a discrete element model with moving realistic geometry to simulate particle motion in a Mi-Pro granulator

Watson

Povey

Reynolds

et al. 2016

Computers & Chemical Engineering

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This paper presents the implementation of a methodology incorporating a 3D CAD geometry into a 3D Discrete Element Method (DEM) code; discussing some of the issues which were experienced. The 3D CAD model was discretised into a finite element mesh and the finite wall method was employed for contact detection between the elements and the spherical particles. The geometry was based on a lab scale Mi-Pro granulator. Simulations were performed to represent dry particle motion in this piece of equipment. The model was validated by high speed photography of the particle motion at the surface of the Mi-Pro's clear bowl walls. The results indicated that the particle motion was dominated by the high speed impeller and that a roping regime exists. The results from this work give a greater insight into the particle motion and can be used to understand the complex interactions which occur within this equipment.

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“…Some studies aim to measure these parameters directly by experiment, using drop tests [9][10][11][12][13] and compression analyses [11,14]. Other studies determine their values based on measurable properties [15].…”

Section: Dem Theory and Backgroundmentioning

confidence: 99%

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Barrasso

Ramachandran

2016

Methods in Pharmacology and Toxicology

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Solid dosage manufacturing primarily involves powder process operations, such as mixing, granulation, and compaction. A model-based approach can be used to develop a better scientific understanding of these processes and implement Quality by Design. These models must predict the critical quality attributes of the product based on process parameters, equipment geometry, and material properties. Discrete element modeling (DEM) is often used to capture mechanistic, particle-scale information, such as velocity and force profiles. In this chapter, recent literature studies that use the DEM to model solid dosage manufacturing processes will be presented and discussed.

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On the determination of contact parameters for realistic DEM simulations of ball mills

Cited by 127 publications

References 12 publications

A Review of Advanced Ball Mill Modelling

A Review of Advanced Ball Mill Modelling

Development of a discrete element model with moving realistic geometry to simulate particle motion in a Mi-Pro granulator

Discrete Element Modeling of Solid Dosage Manufacturing Processes

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