Abstract

Mixing in extrusion is a vital part of achieving consistent and high-quality extrudates, with residence time being an elucidative measure of the mixing performance. Recent studies around numerical modeling of residence time distributions in single-screw extruders appear to consider flooded extruders mainly. This paper introduces a new and general CFD model to characterize the extruder fill length and residence time distribution for a viscoplastic ceramic material in a starve-fed extruder, including free surface tracking. The CFD model simulates a pulse-injection test, where a fluid parcel is injected at the inlet, with subsequent outlet concentration measured over time. The study includes material characterization and model validation based on laboratory tests. Results quantify the impact of accounting for the partially filled extruder instead of assuming it to be flooded, addressing the potential error when only considering simple analytical approximations to calculate system average residence times. Results further show the ability to fit simulation results to more simple analytical models. This underlines the importance of including the entire extrusion system and forming the basis for further work toward enabling real-time model predictions in starve-fed extrusion systems.

Details

Title
A CFD model with free surface tracking: predicting fill level and residence time in a starve-fed single-screw extruder
Author
Olofsson, Erik Holmen 1   VIAFID ORCID Logo  ; Roland, Michael 1   VIAFID ORCID Logo  ; Spangenberg, Jon 1   VIAFID ORCID Logo  ; Jokil, Ninna Halberg 2 ; Hattel, Jesper Henri 1   VIAFID ORCID Logo 

 Technical University of Denmark, Department of Mechanical Engineering, Kgs. Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870) 
 R&D Director–Topsoe A/S, Kgs. Lyngby, Denmark (GRID:grid.5170.3) 
Pages
3579-3591
Publication year
2023
Publication date
Jun 2023
Publisher
Springer Nature B.V.
ISSN
02683768
e-ISSN
14333015
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2813457837
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.