Hybrid mechanistic-empirical approach to the modeling of twin screw feeders for continuous tablet manufacturing
File(s)paper_reviewed2.pdf (1.97 MB)
Accepted version
Author(s)
Bascone, Davide
Galvanin, Federico
Shah, Nilay
Garcia-Munoz, Salvador
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.
Date Issued
2020-04-08
Date Acceptance
2020-03-11
Citation
Industrial and Engineering Chemistry Research, 2020, 59 (14), pp.6650-6661
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
Eli Lilly & Company (USA)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000526422700028&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
4900606521
Subjects
Science & Technology
Technology
Engineering, Chemical
Engineering
PHARMACEUTICAL PROCESSES
THEORETICAL-ANALYSIS
BULK-DENSITY
FLOW
PERFORMANCE
SIMULATION
STRESSES
VALIDATION
HOPPERS
POWDERS
Publication Status
Published
Date Publish Online
2020-03-11