Advancing Profile Extrusion Modeling: Evaluating a Viscoelastic Model through User-Defined Functions in Ansys Fluent

Activity: Talk or presentationContributed talkscience-to-science

Description

In the context of profile extrusion die design and processes, the transformative potential of numerical modeling and digitalization emerges as a pivotal force, promising enhanced precision, efficiency, and innovation. This study introduces an innovative approach to profile extrusion modeling, with a specific focus on incorporating a user-defined function (UDF) in Fluent (Ansys). The UDF is designed to implement an elastic model, specifically the Giesekus model, recognized for its ability to realistically capture the intricate rheological behavior of polymers. The study concentrates on critical aspects of the profile extrusion process, notably the assessment of pressure drop within the flow channel, along with a detailed analysis of velocity distribution and flow balance at the die outlet. This research not only advances the assessment of profile extrusion die modeling but also emphasizes the practical implications associated with UDFs in industrial computational fluid dynamics simulations. The study aims to evaluate Fluent's User-Defined Functions (UDFs) concerning the reliability of predicted results, calculation time, and required computational setup, particularly in the context of modeling profile extrusion processes. This evaluation includes a direct comparison of the obtained data with results from previous simulations conducted in OpenFOAM. The insights presented in this work hold significant value for advancing the development of elastic models within Fluent through the application of UDFs. This approach serves to enhance the accuracy of numerical modeling predictions across various industries, with a specific focus on optimizing the profile extrusion process.
Period01 Oct 2024
Event titleEuropean regional meeting of the Polymer Processing Society, PPS-2024
Event typeConference
LocationSpainShow on map

Fields of science

  • 205012 Polymer processing
  • 205 Materials Engineering
  • 102009 Computer simulation
  • 205011 Polymer engineering
  • 102033 Data mining
  • 104018 Polymer chemistry
  • 104019 Polymer sciences
  • 502058 Digital transformation
  • 502059 Circular economy

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management