Optimizing Modeling the Multi-Layer Co-Extrusion Flow of Non-Newtonian Fluids Through Rectangular Ducts: Appropriate Shear Rate Definition for a Local Power-Law Formulation
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
39th International Conference of the Polymer Processing Society
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
The accuracy of viscosity predictions is a crucial aspect in polymer melt flow modeling, and hence,
essential for the design of co-extrusion die systems. In the field of non-Newtonian fluid modeling for
co-extrusion flows through rectangular ducts, substantial progress has been achieved in understanding
multi-layer flow dynamics. Our fundamental research, employing numerical techniques like the shooting
method, finite element method, and finite difference method for flow evaluation, has established a critical
base for the field.
Our current research advances fluid dynamics by refining our existing numerical solver, specifically
developed for multi-layer co-extrusion flows. We aim to enhance the solver?s performance by implementing
more sophisticated calculations of shear rates that surpass the traditional approach. This traditional
approach, which often relies on average flow velocities and channel heights, can sometimes underrepresent
the complexity of experimentally-studied polymer multi-layer flows. Our study systematically compares
various definitions for characteristic shear rates (e.g., average shear rates for each of the layers) to describe
the local shear-rate dependent viscosity behavior by, for instance, a local power-law model.
A thorough error analysis quantifies each model accuracy and its predictive limitations for indus-
trially relevant material combinations and operating conditions.
This includes CFD simulations and
experimental data comparisons, employing methods aligned with our fundamental research in this area.
Furthermore, our work also paves the way for integrating these advanced fluid dynamics models into the
evolving field of process digitalization. By bridging the gap between detailed fluid dynamics modeling and
practical industrial applications, we contribute to the development of more efficient, digitally-integrated
manufacturing processes