URN to cite this document: urn:nbn:de:bvb:703-epub-8307-8
Title data
Kellnberger, Richard ; Jüngst, Tomasz ; Gekle, Stephan:
Novel lattice Boltzmann method for simulation of strongly shear thinning viscoelastic fluids.
In: International Journal for Numerical Methods in Fluids.
Vol. 97
(2025)
Issue 2
.
- pp. 164-187.
ISSN 1097-0363
DOI der Verlagsversion: https://doi.org/10.1002/fld.5335
|
|||||||||
|
Download (2MB)
|
Project information
| Project title: |
Project's official title Project's id SOP_BioPrint – Protokolle für ein standardisiertes Bioprinting 13XP5071B TRR 225: Von den Grundlagen der Biofabrikation zu funktionalen Gewebemodellen 326998133 |
|---|---|
| Project financing: |
Bundesministerium für Bildung und Forschung Deutsche Forschungsgemeinschaft |
Abstract
Abstract The simulation of viscoelastic liquids using the Lattice–Boltzmann method (LBM) in full three dimensions remains a formidable numerical challenge. In particular the simulation of strongly shear-thinning fluids, where the ratio between the high-shear and low-shear viscosities is large, is often prevented by stability problems. Here we present a novel approach to overcome this issue. The central idea is to artificially increase the solvent viscosity which allows the method to benefit from the very good stability properties of the LBM. To compensate for this additional viscous stress, the polymer stress is reduced by the same amount. We apply this novel method to simulate two realistic cell carrier fluids, methyl cellulose and alginate solutions, of which the latter exhibits a viscosity ratio exceeding 10,000.
Further data
| Item Type: | Article in a journal |
|---|---|
| Keywords: | biofluidics; immersed boundary; laminar flow; lattice Boltzmann; microfluidics; non-Newtonian; stability |
| DDC Subjects: | 500 Science > 530 Physics |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics > Professor Theoretical Physics VI - Simulation and Modelling of Biofluids Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Physics |
| Language: | English |
| Originates at UBT: | Yes |
| URN: | urn:nbn:de:bvb:703-epub-8307-8 |
| Date Deposited: | 14 Mar 2025 06:56 |
| Last Modified: | 17 Dec 2025 10:38 |
| URI: | https://epub.uni-bayreuth.de/id/eprint/8307 |

in the repository
Download Statistics