Microdynamic analysis of particle flow in a confined space using DEM: The feed frame case

Mateo-Ortiz, Daniel; Méndez, Rafael

doi:10.1016/j.apt.2016.05.023

Cited by 39 publications

(8 citation statements)

References 30 publications

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“…They studied the trajectories of particles of different sizes in each filling stage and showed that larger particles, due to their relatively higher kinetic energy enter the dies first forming the lower layers, and also accumulate at the edges of the paddles. Therefore a percolation segregation mechanism, consistent with findings of Mateo-Ortiz [ 24 , 25 ], and risks of radial segregation were presented. The turret speed and feeder wheel speed were shown to have the largest effects on tablet quality and should not be independently optimized [ 28 ].…”

Section: Modeling Of Batch Processessupporting

confidence: 81%

“…Mateo-Ortiz et al [ 24 ] studied particle velocities in a lab-scale Manesty Betapress feeder frame and estimated weight-driven segregation per operating speed. A follow-up study [ 25 ] for the same feeder frame identified that increasing fill levels between the paddles by modifying operating speeds can minimize percolation segregation. Ketterhagen [ 26 ] simulated a lab-scale Korsch XL100 and showed that paddle geometry can impact the residence time distribution of particles in the feeder and could potentially impact the extent of lubrication and changes to the PSD, depending on the material-specific lubrication sensitivity and friability, respectively.…”

Section: Modeling Of Batch Processesmentioning

confidence: 99%

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Direct Compaction Drug Product Process Modeling

et al. 2022

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Most challenges during the development of solid dosage forms are related to the impact of any variations in raw material properties, batch size, or equipment scales on the product quality and the control of the manufacturing process. With the ever pertinent restrictions on time and resource availability versus heightened expectations to develop, optimize, and troubleshoot manufacturing processes, targeted and robust science-based process modeling platforms are essential. This review focuses on the modeling of unit operations and practices involved in batch manufacturing of solid dosage forms by direct compaction. An effort is made to highlight the key advances in the past five years, and to propose potentially beneficial future study directions.

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Section: Modeling Of Batch Processessupporting

confidence: 81%

Section: Modeling Of Batch Processesmentioning

confidence: 99%

Direct Compaction Drug Product Process Modeling

et al. 2022

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“…The discrete element modeling approaches are rather used to describe specific sub-processes such as the compression [ 22 , 23 , 24 , 25 ] or the die filling [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. The particles in a typical DEM approach are modeled rigidly and are mainly used for explanatory models of physical behavior rather than for engineering purposes, which is to some extend the approach of the Finite Element Method (FEM), allowing the consideration of stresses within the machine design [ 22 , 33 , 34 ].…”

Section: Tableting and Its Simulationmentioning

confidence: 99%

Process Modeling and Simulation of Tableting—An Agent-Based Simulation Methodology for Direct Compression

et al. 2021

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In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.

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“…Except for CED, particle-walls interaction parameters were set based on literature values for woody materials [81,85]. In line with previous research [86,87], particle-steel CED was set at half the value of the interparticle CED.…”

Section: Particle Size Upscaling and Materials Model Calibrationmentioning

confidence: 99%

Potential of DEM for investigation of non-consolidated flow of cohesive and elongated biomass particles

Pachón‐Morales

Perré

Casalinho

et al. 2020

Advanced Powder Technology

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The evaluation of the flow properties of biomass powders is essential for the design of handling systems within a thermochemical valorization context. The Discrete Element Method (DEM) is a valuable tool for simulating the bulk behavior of granular materials that has rarely been used for biomass feedstocks. This work focuses on the numerical investigation of the flow of raw and torrefied biomass particles in a loose and dynamic conditioning using a rotating drum. The relevance of DEM parameters calibrated using bulk experiments (angle-of-repose, bulk density, retainment ratio) is tested by comparison with experimental data obtained using a rotating drum system. The calibrated DEM material model considers the elongated, submillimetric and cohesive nature of the biomass powder. Several flowability descriptors (Upper Angle of Stability, size of avalanches, fraction of revolution to trigger events and irregularity of the free surface) are evaluated using both experimental data and DEM simulations. DEM results reproduced well the experimental trends and distinguished between the different cohesive extent of the samples. DEM is therefore a relevant technique for assessing flowability of biomass powders in a non-consolidated dynamic flow. This paves the way for investigating the effects of particle characteristics on bulk flow, which are briefly discussed.

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Microdynamic analysis of particle flow in a confined space using DEM: The feed frame case

Cited by 39 publications

References 30 publications

Direct Compaction Drug Product Process Modeling

Direct Compaction Drug Product Process Modeling

Process Modeling and Simulation of Tableting—An Agent-Based Simulation Methodology for Direct Compression

Potential of DEM for investigation of non-consolidated flow of cohesive and elongated biomass particles

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