Exploring pharmaceutical powder behavior in commercial-scale bin blending: A DEM simulation study

Bin blending is one of the main steps in pharmaceutical production processes. Commercial-scale production of expensive products typically does not allow to perform a large number of experiments in order to optimize the process. Alternatively, Discrete Element Method (DEM) simulations can be used to evaluate the powder behavior (flow and blending pattern) during blending, identify the risks (e.g., segregation), and provide solutions to mitigate them. In this work, DEM simulations are used to investigate the blending of two granulated powders in commercial-scale cone and cylindrical (hoop) blenders. The DEM contact model parameters were calibrated based on the experimental compression and ring shear tests for both granulated powders to mimic the bulk powder behavior in the simulations. The model's output was compared to the experiments in one of the blending cases. The blending efficiency in the cone blenders was evaluated considering the fill levels, the presence of baffles, the rotating directions, the filling order, and the bin sizes. Furthermore, for the hoop blenders, the effects of blender's angle, rotation speed, and filling order were addressed. The main findings of the work were that, in cone blenders, the blending can be improved by introducing baffles and changing in the rotational direction frequently. In hoop blenders, blending can be improved by increasing the inclination angle from the horizontal plane and the rotational speed.

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Publication Details

Journal
European Journal of Pharmaceutical Sciences
Published
2024-10-28
DOI
https://doi.org/10.1016/j.ejps.2024.106950
Citations
7
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
2.62

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article

Exploring pharmaceutical powder behavior in commercial-scale bin blending: A DEM simulation study

Dalibor Jajčević, M. Schaefer, Mary Santangelo, Diogo Gomes Lopes et al.
7 citations
European Journal of Pharmaceutical Sciences
Granular flow and fluidized beds
2.62
article

Exploring pharmaceutical powder behavior in commercial-scale bin blending: A DEM simulation study

Dalibor Jajčević, M. Schaefer, Mary Santangelo, Diogo Gomes Lopes, H.G. Lee, Pankaj Doshi, Benedict Benque, Johannes Khinast, F. Mostafaei
article en
7 citations

Abstract

Bin blending is one of the main steps in pharmaceutical production processes. Commercial-scale production of expensive products typically does not allow to perform a large number of experiments in order to optimize the process. Alternatively, Discrete Element Method (DEM) simulations can be used to evaluate the powder behavior (flow and blending pattern) during blending, identify the risks (e.g., segregation), and provide solutions to mitigate them. In this work, DEM simulations are used to investigate the blending of two granulated powders in commercial-scale cone and cylindrical (hoop) blenders. The DEM contact model parameters were calibrated based on the experimental compression and ring shear tests for both granulated powders to mimic the bulk powder behavior in the simulations. The model's output was compared to the experiments in one of the blending cases. The blending efficiency in the cone blenders was evaluated considering the fill levels, the presence of baffles, the rotating directions, the filling order, and the bin sizes. Furthermore, for the hoop blenders, the effects of blender's angle, rotation speed, and filling order were addressed. The main findings of the work were that, in cone blenders, the blending can be improved by introducing baffles and changing in the rotational direction frequently. In hoop blenders, blending can be improved by increasing the inclination angle from the horizontal plane and the rotational speed.

European Journal of Pharmaceutical SciencesVol. 204
Pfizer (United States) (US), Steinbeis Foundation (DE), Graz University of Technology (AT), Research Center Pharmaceutical Engineering (Austria) (AT)
Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie, Steirische Wirtschaftsförderungsgesellschaft, Bundesministerium für Digitalisierung und Wirtschaftsstandort
Zero hunger
Openalex Percentile: Top 10%
Granular flow and fluidized beds
2.62
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