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

Activity: Talk or presentationContributed talkscience-to-science

Description

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
Period21 May 2024
Event title39th International Conference of the Polymer Processing Society
Event typeConference
LocationColombiaShow on map

Fields of science

  • 205012 Polymer processing
  • 102009 Computer simulation
  • 205011 Polymer engineering
  • 102033 Data mining
  • 104019 Polymer sciences
  • 502058 Digital transformation

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management