Exact Solution for Viscoelastic Flow in Pipe and Experimental Validation.
Ekaterina Vachagina1, Nikolay Dushin1, Elvira Kutuzova1
1Institute of Power Engineering and Advanced Technologies, FRC Kazan Scientific Center, Russian Academy of Sciences, 420111 Kazan, Russia.
Polymers
|January 21, 2022
Summary
Developing analytical methods for viscoelastic fluid flows is difficult. A new parametric method offers solutions without assumptions, validated by smoke image velocimetry (SIV), with the eXtended Pom-Pom model showing best agreement with experimental data.
Area of Science:
- Rheology and Fluid Dynamics
- Computational Mechanics
- Polymer Physics
Background:
- Analytical solutions for viscoelastic fluid flows are challenging to develop.
- Existing methods often rely on specific rheological models like Giesekus or Phan-Tien-Tanner.
- The eXtended Pom-Pom model is a significant advancement in describing complex fluid behavior.
Purpose of the Study:
- To propose a novel parametric method for analyzing viscoelastic fluid flows.
- To provide solutions without requiring additional assumptions for rheological models.
- To validate the proposed method and compare different rheological models against experimental data.
Main Methods:
- A parametric representation of unknown velocity and stress tensor components was employed.
- The method allows for solutions without additional assumptions on the fluid's state equations.
- Experimental flow visualization using smoke image velocimetry (SIV) was conducted for validation.
Main Results:
- The proposed parametric method successfully yields solutions for viscoelastic fluid flows.
- Experimental data obtained via SIV were used to assess the accuracy of rheological models.
- The eXtended Pom-Pom model demonstrated superior predictive capability compared to the Giesekus model.
Conclusions:
- The developed parametric method offers a versatile approach to solving viscoelastic flow problems.
- The eXtended Pom-Pom model provides a more accurate description of the studied viscoelastic flows than the Giesekus model.
- Experimental validation confirms the effectiveness of rheological models in predicting complex fluid behavior.
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