Spray models for discrete element simulations of particle coating processes

Toschkoff, Gregor; Just, Sarah; Funke, Adrian; Djurić, Dejan; Knop, Klaus; Kleinebudde, Peter; Scharrer, Georg; Khinast, Johannes G.

doi:10.1016/j.ces.2013.06.051

Cited by 59 publications

(43 citation statements)

References 32 publications

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“…Toschkoff et al [124] compared three approaches for modeling spray in DEM simulations of coating processes. First, the spray zone approach, defines a spray compartment and tablets at the top of the bed in the spray zone experience an increase in coating thickness.…”

Section: Tablet Coatingmentioning

confidence: 99%

“…The spray droplets are colored blue, with darker shades indicating bigger droplets. The tablets are colored according to coating mass, from white (no coating mass) to red (high coating mass), from Toschkoff et al [124] 4 Summary DEM simulations have been used extensively to model solid dosage manufacturing processes, producing high-fidelity results describing velocity and force profiles and collision dynamics. Applications of DEM provide qualitative insight into CQAs and simulate complex behavior, such as segregation, powder flow, and effects of particle size and shape.…”

Section: Tablet Coatingmentioning

confidence: 99%

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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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Section: Tablet Coatingmentioning

confidence: 99%

Section: Tablet Coatingmentioning

confidence: 99%

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Barrasso

Ramachandran

2016

Methods in Pharmacology and Toxicology

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“…The model of Toschko et al [15] is used to model the coating process and briey described here. For contacts between droplets and corn seeds, the droplet mass is added to the property`coating liquid mass' of the corn seed and the droplet is deleted.…”

Section: Coating Modelmentioning

confidence: 99%

Inter-particle coating variability in a rotary batch seed coater

Pasha¹,

Hare²,

Ghadiri³

et al. 2017

Chemical Engineering Research and Design

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A c c e p t e d M a n u s c r i p t  The coating uniformity of corn seeds in a batch seed coater is evaluated by DEM  Discrete drop coating model is used to evaluate the coating uniformity of the seeds  Effect of process parameters on coating uniformity of the seeds is investigated  The atomiser disk position is strongly influencing the coating uniformity  Optimum process parameters for rotary batch seed coaters are reported Research HighlightsPage 3 of 42

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“…In the simulation stage, a particle property termed 'coating mass' is introduced in addition to the existing properties. The model of Toschkoff et al [10] is employed to model the coating process. According to this model, following a contact between droplets and corn seeds, the droplet mass is added to the coating mass of the corn seed and the droplet is removed from the simulation.…”

Section: Coating Modelmentioning

confidence: 99%

“…More recently, it has been used to address the coating uniformity of pharmaceutical tablet coating in pan coaters [2][3][4][5][6][7][8][9][10]. There are two critical parameters for the analysis of the coating variability: inter-and intra-particle coating variability.…”

Section: Introductionmentioning

confidence: 99%

Distinct element analysis of inter-particle coating variability in a batch seed coater

et al. 2017

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Abstract. Coating of particulate solids by a thin film layer is of interest in many industrial applications such as seed and tablet coating. In seed processing, seeds are commonly coated with a protective coating layer consisting of fertilisers and crop protection products. Rotary drum batch coaters are typically used for this purpose. The coater consists of a cylindrical vessel with a rotating spray disk in the centre, onto which the coating liquid is fed. The seeds are driven around the vessel by its rotating base, and are mixed by two baffles; one on either side of the vessel. In the present study, DEM simulations are used to analyse the seed coating process. Corn seed is used as a model material and its shape is captured using X-Ray microtomography (XRT). The shape is incorporated into the simulations by the clumping multiple spheres to form a particle assembly. The coating uniformity of the seeds is predicted by implementing a coating model, whereby the coating mechanism is represented in the DEM by considering that once a droplet contacts a corn seed, it is removed from the simulation and its mass is attributed to the coating mass of the corn seed. The distribution of mass of sprayed spheres on the corn seeds and the coefficient of variation are evaluated for a range of process conditions, such as spinning disk rotational speed, droplets size and baffle arrangement and designs. In addition to evaluation of coating uniformity of particles, the scale-up rules for rotary drum batch coaters are investigated and reported. The outcome provides guidelines on scale-up rules and improvement of coating uniformity for rotary batch seed coaters.

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Spray models for discrete element simulations of particle coating processes

Cited by 59 publications

References 32 publications

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Discrete Element Modeling of Solid Dosage Manufacturing Processes

Inter-particle coating variability in a rotary batch seed coater

Distinct element analysis of inter-particle coating variability in a batch seed coater

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