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A Fully Implicit Log-Conformation Tensor Coupled Algorithm for the Solution of Incompressible Non-Isothermal
1LASI-Associate Laboratory of Intelligent Systems, IPC-Institute for Polymers and Composites, Polymer Engineering Department, School of Engineering, Campus de Azurém, University of Minho, 4800-058 Guimarães, Portugal.
A new block-coupled algorithm computes non-isothermal viscoelastic fluid flow using the log-conformation tensor approach. This method enhances accuracy for complex fluid dynamics simulations.
Area of Science:
- Computational Fluid Dynamics
- Rheology
- Polymer Science
Background:
- Viscoelastic fluid flow simulations require robust numerical methods.
- The log-conformation tensor approach offers advantages for modeling complex fluid behavior.
- Non-isothermal effects add complexity to viscoelastic flow simulations.
Purpose of the Study:
- To develop and validate a novel block-coupled algorithm for non-isothermal viscoelastic fluid flow.
- To implement the log-conformation tensor approach within a monolithic framework.
- To accurately capture the interplay between flow, heat transfer, and viscoelasticity.
Main Methods:
- A block-coupled algorithm integrating mass, momentum, log-conformation tensor, and energy equations.
- Rhie-Chow interpolation for inter-equation coupling of momentum and mass conservation.
- Implicit discretization of divergence terms and Taylor series expansion for constitutive equations.
- Monolithic solution framework assembling discretized equations into a block-matrix.
Main Results:
- Successful computation of laminar, incompressible, non-isothermal, viscoelastic flow problems.
- Implicit treatment of key terms enhances numerical stability and accuracy.
- Validation against the axisymmetric 4:1 planar sudden contraction benchmark for Oldroyd-B fluid.
Conclusions:
- The developed block-coupled algorithm provides a reliable tool for simulating complex viscoelastic flows.
- The implicit discretization and log-conformation tensor approach improve simulation fidelity.
- The method is validated for a standard benchmark, demonstrating its applicability.
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