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Hybrid Mechanistic-Empirical Approach to the Modeling of Twin Screw Feeders for Continuous Tablet Manufacturing

descriptionPublicationkeyboard_double_arrow_right Article , Journal 11 Mar 2020 United Kingdom Publisher:American Chemical Society (ACS)Journal:Industrial & Engineering Chemistry Research, volume 59, pages 6,650-6,661 (issn: 0888-5885, eissn: 1520-5045,

Authors: Davide Bascone; Federico Galvanin; Nilay Shah; Salvador Garcia-Munoz;

doi: 10.1021/acs.iecr.0c00420

handle: 10044/1/79052

Hybrid Mechanistic-Empirical Approach to the Modeling of Twin Screw Feeders for Continuous Tablet Manufacturing

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Abstract

Nowadays, screw feeders are popular equipment in the pharmaceutical industry. However, despite the increasing research in the last decade in the manufacturing of powder-based products, there is sti...

Country

United Kingdom

Related Organizations

Eli Lilly (United States)
United States
Imperial College London
United Kingdom
Eli Lilly (United States)
United States
University College London
United Kingdom

Keywords

Technology, Engineering, Chemical, BULK-DENSITY, FLOW, Chemical, VALIDATION, 09 Engineering, Engineering, HOPPERS, Science & Technology, PHARMACEUTICAL PROCESSES, 621, Continuous tablet manufacturing, PERFORMANCE, Chemical Engineering, POWDERS, 620, THEORETICAL-ANALYSIS, Screw feeders, STRESSES, Pharmaceutical, SIMULATION, 03 Chemical Sciences, Dynamic modelling

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	11
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%