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Hybrid mechanistic-empirical approach to the modeling of twin screw feeders for continuous tablet manufacturing

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Title: Hybrid mechanistic-empirical approach to the modeling of twin screw feeders for continuous tablet manufacturing
Authors: Bascone, D
Galvanin, F
Shah, N
Garcia-Munoz, S
Item Type: Journal Article
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 still a lack of knowledge on the physics governing the dynamic behavior of these systems. As a result, data-driven models have often been used to address process design, optimization, and control applications. In this paper, a methodology for the modeling of twin screw feeders has been suggested. A first order plus dead time model has been developed, where a hybrid mechanistic-empirical approach has been used. Different powders and two screw feeder geometries have been investigated. The model predictions are in good agreement with the experimental measurements when the 35 mm diameter screws are employed. When the 20 mm diameter screws are used, the validity range of the model is limited for the least cohesive powders, suggesting that their screw speed-dependent resistance to flow in small screws requires further investigations.
Issue Date: 8-Apr-2020
Date of Acceptance: 11-Mar-2020
URI: http://hdl.handle.net/10044/1/79052
DOI: 10.1021/acs.iecr.0c00420
ISSN: 0888-5885
Publisher: American Chemical Society
Start Page: 6650
End Page: 6661
Journal / Book Title: Industrial and Engineering Chemistry Research
Volume: 59
Issue: 14
Copyright Statement: © 2020 American Chemical Society. This document is the Accepted Manuscript version of a Published Work that appeared in final form in Industrial & engineering chemistry research, after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.iecr.0c00420
Sponsor/Funder: Eli Lilly & Company (USA)
Funder's Grant Number: 4900606521
Keywords: Science & Technology
Technology
Engineering, Chemical
Engineering
PHARMACEUTICAL PROCESSES
THEORETICAL-ANALYSIS
BULK-DENSITY
FLOW
PERFORMANCE
SIMULATION
STRESSES
VALIDATION
HOPPERS
POWDERS
Science & Technology
Technology
Engineering, Chemical
Engineering
PHARMACEUTICAL PROCESSES
THEORETICAL-ANALYSIS
BULK-DENSITY
FLOW
PERFORMANCE
SIMULATION
STRESSES
VALIDATION
HOPPERS
POWDERS
03 Chemical Sciences
09 Engineering
Chemical Engineering
Publication Status: Published
Online Publication Date: 2020-03-11
Appears in Collections:Chemical Engineering
Grantham Institute for Climate Change
Faculty of Natural Sciences