Projects per year
Abstract
Co-extrusion has become the state-of-the-art process technology in nearly all
application areas of polymer processing. By combining different types of polymeric materials within multilayer structures, products with a broad
range of property profiles can be obtained for advanced applications. Design of co-extrusion dies and feedblock
systems requires extensive knowledge of process and material behavior. To accurately describe the shear-thinning behavior of
polymer melts in co-extrusion processes and to predict characteristic process quantities,
numerical methods are essential. We present a hybrid approach to modeling stratified co-extrusion flows of two
power-law fluids through rectangular ducts. By applying the theory of similarity and transforming the problem
into dimensionless representation, we identified four independent influencing parameters that fully describe the
flow situation: (i) the power-law index of the first fluid, (ii) the power-law index of the second fluid, (iii) the
dimensionless position of the interface, and (iv) the ratio of dimensionless pressure gradients. We varied these
input parameters within ranges that cover almost all combinations of industrial relevance, creating in the process
a set of more than 44,000 design points. By means of the shooting method, numerical solutions were obtained for
(i) pressure-throughput behavior, (ii) interfacial shear stress, (iii) interfacial velocity, and (iv) individual volume
flow rates. Finally, we used symbolic regression based on genetic programming to model these target quantities
as functions of their influencing parameters and obtain algebraic relationships between them. Our mathematical
models thus enable accurate prediction of several characteristic process quantities in two-layer co-extrusion
flows of shear-thinning fluids through rectangular ducts. The models are not restricted to the field of polymer
processing, but can be used in all industrial applications that involve such co-extrusion flows.
Original language | English |
---|---|
Article number | 104618 |
Number of pages | 22 |
Journal | Journal of Non-Newtonian Fluid Mechanics |
Volume | 295 |
Issue number | 104618 |
DOIs | |
Publication status | Published - Sept 2021 |
Fields of science
- 205 Materials Engineering
- 205011 Polymer engineering
- 102009 Computer simulation
- 102033 Data mining
- 104018 Polymer chemistry
- 205012 Polymer processing
- 104019 Polymer sciences
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
Projects
- 2 Finished
-
Simulationsgestützte Auslegung von PVC Profilextrusionsprozessen – eine Machbarkeitsstudie
Aali, M. (Researcher), Hammer, A. (Researcher), Löw-Baselli, B. (Researcher) & Berger-Weber, G. R. (PI)
01.11.2023 → 30.04.2024
Project: Funded research › EU - European Union
-
Pro2Future CoExCo
Abpfolter, J. (Researcher), Lepschi, A. (Researcher), Löw-Baselli, B. (Researcher), Prechtl, M. (Researcher) & Miethlinger, J. (PI)
01.04.2017 → 31.03.2021
Project: Funded research › FFG - Austrian Research Promotion Agency