2019
DOI: 10.1016/j.ijpharm.2018.11.076
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Impact of material properties and process variables on the residence time distribution in twin screw feeding equipment

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Cited by 41 publications
(16 citation statements)
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“…A recent publication has shown, that the RTD in twin-screw feeders can reach extensive time spans, especially for low feed rates, as typically used in process development, i.e. also in this study (Van Snick et al, 2018). Washout period for a K-Tron KT20 feeder in their study lasted over three hours with feed rate 10 kg/h.…”
Section: General Approachesmentioning
confidence: 84%
“…A recent publication has shown, that the RTD in twin-screw feeders can reach extensive time spans, especially for low feed rates, as typically used in process development, i.e. also in this study (Van Snick et al, 2018). Washout period for a K-Tron KT20 feeder in their study lasted over three hours with feed rate 10 kg/h.…”
Section: General Approachesmentioning
confidence: 84%
“…With this dataset it is possible to obtain residence time distributions (RTDs) to characterize the discharge process.The residence time data in this dataset can be used to model material tracking in a continuous pharmaceutical production process through RTD modeling [1]. Obtaining the same or similar data with experiments is difficult: Experimental determination of RTDs in feeders is material intensive and requires one experiment for each examined fill level [2]. The data can be used to find an optimal fill level and refill strategy, and designing an experiment for confirmation.Starting positions of particles inside the feeder are included in the dataset, which allows the definition and analysis of arbitrary spatial sub-regions of the feeder.…”
mentioning
confidence: 99%
“…Obtaining the same or similar data with experiments is difficult: Experimental determination of RTDs in feeders is material intensive and requires one experiment for each examined fill level [2]. The data can be used to find an optimal fill level and refill strategy, and designing an experiment for confirmation.…”
mentioning
confidence: 99%
“…As suggested by Escotet-Espinoza et al ρ e (t) = ρ 0 + κ ln σ v (t) 1000 (14) where ρ 0 describes the eective density under no vertical stress, σ v is the vertical stress expressed in kPa. Both ρ 0 and κ are found by tting the model to experimental data.…”
Section: Time-dependant Powder Densitymentioning
confidence: 99%