Projects per year
Abstract
There are many industrial examples of low Reynolds number non-Newtonian
flows through rectangular ducts in polymer processing. They occur in all types
of manufacturing processes in which raw polymeric materials are converted
into products, ranging from screw extrusion to shaping operations in dies and
molds. In addition, they are found in numerous rheological measurement systems.
The literature provides various mathematical formulations for non-
Newtonian flows through rectangular ducts, but — if not simplified further — their solution usually requires use of numerical techniques. Removing the
need for these time-consuming techniques, we present novel analytical correction factors for the drag and pressure flows of power-law fluids in rectangular flow channels. We approximated numerical results for a fully developed flow under isothermal conditions using symbolic regression based on genetic programming. The correction factors can be applied to the analytical theory that describes the flow of power-law fluids between parallel plates to include effects of the side walls in the prediction of flow rate and viscous dissipation.
| Original language | English |
|---|---|
| Pages (from-to) | 2043-2058 |
| Number of pages | 16 |
| Journal | Polymer Engineering and Science |
| Volume | 63 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - Jul 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Fields of science
- 205 Materials Engineering
- 205011 Polymer engineering
- 102009 Computer simulation
- 102033 Data mining
- 104018 Polymer chemistry
- 502059 Circular economy
- 205012 Polymer processing
- 104019 Polymer sciences
- 502058 Digital transformation
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
Projects
- 1 Finished
-
Design and Optimization of Wave-Dispersion Screws
Roland, W. (PI)
30.06.2020 → 30.09.2023
Project: Funded research › FWF - Austrian Science Fund
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