Continuous blending of cohesive granular material

Sarkar, Avik; Wassgren, Carl

doi:10.1016/j.ces.2010.04.011

Cited by 48 publications

(20 citation statements)

References 34 publications

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“…The DE method has been widely used to study the flow of granular materials within industrial (e.g. Chaudhuri et al, 2006;Sarkar and Wassgren, 2010) or environmental applications such as avalanche dynamics (e.g. Rognon et al, 2008;Faug et al, 2009).…”

Section: Motivation and Objectivesmentioning

confidence: 99%

Modeling of crack propagation in weak snowpack layers using the discrete element method

Gaume¹,

Herwijnen²,

Chambon

et al. 2015

The Cryosphere

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Abstract. Dry-snow slab avalanches are generally caused by a sequence of fracture processes including (1) failure initiation in a weak snow layer underlying a cohesive slab, (2) crack propagation within the weak layer and (3) tensile fracture through the slab which leads to its detachment. During the past decades, theoretical and experimental work has gradually led to a better understanding of the fracture process in snow involving the collapse of the structure in the weak layer during fracture. This now allows us to better model failure initiation and the onset of crack propagation, i.e., to estimate the critical length required for crack propagation. On the other hand, our understanding of dynamic crack propagation and fracture arrest propensity is still very limited.To shed more light on this issue, we performed numerical propagation saw test (PST) experiments applying the discrete element (DE) method and compared the numerical results with field measurements based on particle tracking. The goal is to investigate the influence of weak layer failure and the mechanical properties of the slab on crack propagation and fracture arrest propensity. Crack propagation speeds and distances before fracture arrest were derived from the DE simulations for different snowpack configurations and mechanical properties. Then, in order to compare the numerical and experimental results, the slab mechanical properties (Young's modulus and strength) which are not measured in the field were derived from density. The simulations nicely reproduced the process of crack propagation observed in field PSTs. Finally, the mechanical processes at play were analyzed in depth which led to suggestions for minimum column length in field PSTs.

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Section: Motivation and Objectivesmentioning

confidence: 99%

Modeling of crack propagation in weak snowpack layers using the discrete element method

Gaume¹,

Herwijnen²,

Chambon

et al. 2015

The Cryosphere

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“…V C 2014 American Institute of Chemical Engineers and Wassgren 10 presented the influence of the interparticle cohesion at various impeller speeds and different fill levels, demonstrating that the cohesion affects principally the axial mixing and the mixing performance for highly cohesive materials.…”

Section: Continuous Powder Mixingmentioning

confidence: 99%

Blend uniformity and powder phenomena inside the continuous tumble mixer using DEM simulations

Florian-Algarin

Méndez

2014

AIChE Journal

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Powder mixing is an essential operation in pharmaceutical, food, and petrochemical industries. Pharmaceutical companies have been working in the implementation of continuous processes as an alternative to the batch process using the food and drug administration process analytical technology initiative. The main goal was to understand the mixing phenomena inside the continuous tumble mixer and monitor blend uniformity using discrete element method. Results demonstrated that the main mixing mechanism is convection similar to the common tumbling mixers. This mechanism is driven by the bulk flow of the particles, due to the mixer rotation. The simulations' results, demonstrated that the cohesion reduces the concentration variability due to the higher holdup, particle interactions, and mean residence time. The blend uniformity at the exit of the system was measured and a relationship between relative standard distribution, cohesion, and the collision frequency was found. V C 2014 American Institute of Chemical Engineers AIChE J, 61: [792][793][794][795][796][797][798][799][800][801] 2015

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“…In addition, Zhou et al performed a microdynamic analysis of the particle flow and, especially, the effects of sliding and rolling friction coefficients on three‐dimensional (3D) recirculating particle zones. Continuous blending in a convective mixer was studied by Sarkar and Wassgren . Radl et al examined the mixing characteristics of wet granular matter and observed better mixing rates and performance compared to dry granular matter under the same conditions.…”

Section: Fundamental Tools For Increased Process Understandingmentioning

confidence: 99%

The Future of Pharmaceutical Manufacturing Sciences

Rantanen

Khinast

2015

Journal of Pharmaceutical Sciences

362

152

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The entire pharmaceutical sector is in an urgent need of both innovative technological solutions and fundamental scientific work, enabling the production of highly engineered drug products. Commercial‐scale manufacturing of complex drug delivery systems (DDSs) using the existing technologies is challenging. This review covers important elements of manufacturing sciences, beginning with risk management strategies and design of experiments (DoE) techniques. Experimental techniques should, where possible, be supported by computational approaches. With that regard, state‐of‐art mechanistic process modeling techniques are described in detail. Implementation of materials science tools paves the way to molecular‐based processing of future DDSs. A snapshot of some of the existing tools is presented. Additionally, general engineering principles are discussed covering process measurement and process control solutions. Last part of the review addresses future manufacturing solutions, covering continuous processing and, specifically, hot‐melt processing and printing‐based technologies. Finally, challenges related to implementing these technologies as a part of future health care systems are discussed. © 2015 The Authors. Journal of Pharmaceutical Sciences published by Wiley Periodicals, Inc. and the American Pharmacists Association J Pharm Sci 104:3612–3638, 2015

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Continuous blending of cohesive granular material

Cited by 48 publications

References 34 publications

Modeling of crack propagation in weak snowpack layers using the discrete element method

Modeling of crack propagation in weak snowpack layers using the discrete element method

Blend uniformity and powder phenomena inside the continuous tumble mixer using DEM simulations

The Future of Pharmaceutical Manufacturing Sciences

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