Determination of coalescence kernels for high-shear granulation using DEM simulations

Gantt, Justin A.; Cameron, Ian; Litster, James D.; Gatzke, Edward P.

doi:10.1016/j.powtec.2006.08.002

Cited by 86 publications

(34 citation statements)

References 20 publications

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“…The aggregation kernel has been defined as a function of the collision frequency (C) and collision efficiency ψ. The collision frequency (which is a function of particle size [46]) is calculated based on the number of collisions occurring between the particle groups which can be obtained from EDEM TM based on the particle properties.…”

Section: Population Balance Model For Fbgmentioning

confidence: 99%

A Multi-Scale Hybrid CFD-DEM-PBM Description of a Fluid-Bed Granulation Process

et al. 2014

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In this study, a hybrid multi-scale model has been developed for a continuous fluid bed wet granulation process by dynamically coupling computational fluid dynamics (CFD) with a discrete element model (DEM) and population balance model (PBM). In this process, the granules are formed by spraying the liquid binder on the fluidized powder bed. The fluid flow field has been solved implementing CFD principles and the behavior of the solid particles has been modeled using DEM techniques whereas the change in particle size has been quantified with the help of PBM. The liquid binder droplets have been modeled implicitly in DEM. A detailed understanding of the process aids in the development of better design, optimization and control strategies. The model predicts the evolution of important process variables (i.e., average particle diameter, particle size distribution (PSD) and particle liquid content) over time, which have qualitative similarity with experimentally observed trends. The advantage of incorporating the multi-scale approach is that the model can be used to study the distributions of collision frequencies, particle velocity and particle liquid content in different sections of the fluid bed granulator (FBG), in a more mechanistic manner.

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Section: Population Balance Model For Fbgmentioning

confidence: 99%

A Multi-Scale Hybrid CFD-DEM-PBM Description of a Fluid-Bed Granulation Process

et al. 2014

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“…Gant et.al. [8] used DEM simulations to extract collision rates and energies in a disc-impeller granulator to use for PBM kernels. The disadvantage of the DEM method is that it becomes impractical for industrial size granulators where the number of particles may, by orders of magnitude, exceed 10 6 .…”

Section: Introductionmentioning

confidence: 99%

Analysis of mesoscale effects in high-shear granulation through a computational fluid dynamics–population balance coupled compartment model

et al. 2018

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In high shear granulation it has been pointed out that there is a need for meso-scale resolution and coupling between flow field information and the evolution of particle properties. In this article we develop a modelling framework that compartmentalizes the high shear granulation process based on process relevant parameters both in time and space. It is built up by a coupled flow field and population balance solver and is used to resolve and analyze the effects of meso-scales on the evolution of particle properties. A Diosna high shear mixer is modelled with micro crystalline cellulose powder as the granulation material. The analysis of the flow field solution and compartmentalization allows for a resolution of the stress and collision peak at the impeller blades. Different compartmentalizations were done showing the importance of resolving the impeller region, both for only aggregating systems and systems with breakage. An investigation on the time evolution of the flow field depending on the changing particle properties was also done, indicating the importance of resolving meso scale phenomena in time as well as space.

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“…Although the underlying mechanisms of such processes are yet to be thoroughly grasped, granulation, a particle design process, is one such area where substantial progress has been made over the years [5]. The approaches for modeling such systems are as numerous as they are varied: Discrete Element Modeling (DEM) [6], Population Balance Modeling (PBM) [3,[7][8][9][10][11][12][13], hybrid models by combining PBM with DEM [14], PBM with Volume of Fluid (VoF) methods [15], and PBM with Computational Fluid Dynamics (CFD) [16], to name a few. Of the aforementioned, the most widely used are the DEM and PBM methods.…”

Section: Introductionmentioning

confidence: 99%

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

Prakash

Chaudhury

Ramachandran

2013

Modelling and Simulation in Engineering

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Computer-aided modeling and simulation are a crucial step in developing, integrating, and optimizing unit operations and subsequently the entire processes in the chemical/pharmaceutical industry. This study details two methods of reducing the computational time to solve complex process models, namely, the population balance model which given the source terms can be very computationally intensive. Population balance models are also widely used to describe the time evolutions and distributions of many particulate processes, and its efficient and quick simulation would be very beneficial. The first method illustrates utilization of MATLAB's Parallel Computing Toolbox (PCT) and the second method makes use of another toolbox, JACKET, to speed up computations on the CPU and GPU, respectively. Results indicate significant reduction in computational time for the same accuracy using multicore CPUs. Many-core platforms such as GPUs are also promising towards computational time reduction for larger problems despite the limitations of lower clock speed and device memory. This lends credence to the use of highfidelity models (in place of reduced order models) for control and optimization of particulate processes.

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Determination of coalescence kernels for high-shear granulation using DEM simulations

Cited by 86 publications

References 20 publications

A Multi-Scale Hybrid CFD-DEM-PBM Description of a Fluid-Bed Granulation Process

A Multi-Scale Hybrid CFD-DEM-PBM Description of a Fluid-Bed Granulation Process

Analysis of mesoscale effects in high-shear granulation through a computational fluid dynamics–population balance coupled compartment model

Parallel Simulation of Population Balance Model-Based Particulate Processes Using Multicore CPUs and GPUs

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