Assessing stress conditions and impact velocities in fluidized bed opposed jet mills

Strobel, Alexander; Köninger, Benedikt; Romeis, Stefan; Schott, Florian; Wirth, Karl‐Ernst; Peukert, Wolfgang

doi:10.1016/j.partic.2020.02.006

Cited by 11 publications

(11 citation statements)

References 49 publications

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“…This approach is linked to SEM-based single particle stressing where measured stress–strain curves of compressed probe particles, for instance ductile metal particles, can be modeled by FEM simulation [ 69 ]. This combined experimental–theoretical approach provides a direct link to the reaction of the stressed particles under the influence of

[ 70 ].…”

Section: Process Chain For Particle Formation and Formulationmentioning

confidence: 99%

Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations—A Particle Technology Perspective

Uhlemann

Diedam

Hoheisel³

et al. 2020

Pharmaceutics

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Crystalline organic nanoparticles and their amorphous equivalents (ONP) have the potential to become a next-generation formulation technology for dissolution-rate limited biopharmaceutical classification system (BCS) class IIa molecules if the following requisites are met: (i) a quantitative understanding of the bioavailability enhancement benefit versus established formulation technologies and a reliable track record of successful case studies are available; (ii) efficient experimentation workflows with a minimum amount of active ingredient and a high degree of digitalization via, e.g., automation and computer-based experimentation planning are implemented; (iii) the scalability of the nanoparticle-based oral delivery formulation technology from the lab to manufacturing is ensured. Modeling and simulation approaches informed by the pharmaceutical material science paradigm can help to meet these requisites, especially if the entire value chain from formulation to oral delivery is covered. Any comprehensive digitalization of drug formulation requires combining pharmaceutical materials science with the adequate formulation and process technologies on the one hand and quantitative pharmacokinetics and drug administration dynamics in the human body on the other hand. Models for the technical realization of the drug production and the distribution of the pharmaceutical compound in the human body are coupled via the central objective, namely bioavailability. The underlying challenges can only be addressed by hierarchical approaches for property and process design. The tools for multiscale modeling of the here-considered particle processes (e.g., by coupled computational fluid dynamics, population balance models, Noyes–Whitney dissolution kinetics) and physiologically based absorption modeling are available. Significant advances are being made in enhancing the bioavailability of hydrophobic compounds by applying innovative solutions. As examples, the predictive modeling of anti-solvent precipitation is presented, and options for the model development of comminution processes are discussed.

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[ 70 ].…”

Section: Process Chain For Particle Formation and Formulationmentioning

confidence: 99%

Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations—A Particle Technology Perspective

Uhlemann

Diedam

Hoheisel³

et al. 2020

Pharmaceutics

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“…The fluidized bed geometry and operating conditions used in all simulations were based on the experimental works available in the literature [2,3,6].…”

Section: Fluidized Bed Opposed Jet Mill Unit and Materials Propertiesmentioning

confidence: 99%

“…The jet mill is composed of a classifier wheel of 0.05 m in outer diameter, placed at the upper part of the equipment (classifying region), and three Laval nozzles with an exit diameter of 2.4 mm (D nozzle ) positioned in the grinding region, one at the bottom, and two at the lateral wall of the equipment inclined at an angle of 30 • and separated by a distance of 65.4 mm (Figure 1). Glass microspheres with a mean diameter of 55 µm and a density of 2500 kg/m 3 [6], were used. The porosity of the packed bed was of 0.38.…”

Section: Fluidized Bed Opposed Jet Mill Unit and Materials Propertiesmentioning

confidence: 99%

“…Strobel et al [6] used ductile aluminum microspheres as tracers (particle probe method) to investigate the glass microspheres impact velocity in a batch fluidized bed opposed jet mill as a function of the solid holdup and the nozzle pressure. The glass microsphere diameter was the same as that used herein in the simulation (≈55 µm).…”

Section: Influence Of the Solid Holdup And The Nozzle Inlet Pressure On The Volumetric Average Particle Velocitiesmentioning

confidence: 99%

“…Thus far, a limited number of works has focused on the investigation of the influence of operating parameters, such as solid holdup, inlet air pressure, and jet nozzle number and configuration, on the particle dynamics behavior in a fluidized bed opposed jet mill. Their design and prediction of performance are until now, largely empirical [1][2][3][4][5][6]. Especially the dynamic interaction of the fluid with the solid phase, for instance at the focal point of the jets (grinding region), is poorly understood-in part because of the difficulties in measurement of the process conditions at this point.…”

Section: Introductionmentioning

confidence: 99%

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Eulerian Multiphase Simulation of the Particle Dynamics in a Fluidized Bed Opposed Gas Jet Mill

Santos

Baluni²,

Bück³

2020

Processes

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The compressible and turbulent gas–solid multiphase flow inside a fluidized bed opposed jet mill was systematically investigated through numerical simulations using the Euler–Euler approach along with the kinetic theory of granular flow and frictional models. The solid holdup and nozzle inlet air velocity effects on the gas–solid dynamics were assessed through a detailed analysis of the time-averaged volume fraction, the time-averaged velocity, the time-averaged streamlines, and the time-averaged vector field distributions of both phases. The simulated results were compared with the experimental observations available in the literature. The numerical simulations contributed to a better understanding of the particle–flow dynamics in a fluidized bed opposed gas jet mill which are of fundamental importance for the milling process performance.

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Effect of Jet Milling on HDH CP-Ti Powders: Microstructure and Properties

Tao

Ding

Chen

et al. 2021

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Assessing stress conditions and impact velocities in fluidized bed opposed jet mills

Cited by 11 publications

References 49 publications

Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations—A Particle Technology Perspective

Modeling and Simulation of Process Technology for Nanoparticulate Drug Formulations—A Particle Technology Perspective

Eulerian Multiphase Simulation of the Particle Dynamics in a Fluidized Bed Opposed Gas Jet Mill

Effect of Jet Milling on HDH CP-Ti Powders: Microstructure and Properties

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