PARTICLE DISTRIBUTION IN NANOFLUIDS UNDER THE INFLUENCE OF TEMPERATURE GRADIENT
A scaled thermal diffusion factor was used to predict the potential for particle migration under the influence of temperature gradient. Then an implicit finite difference model was developed to investigate whether a fluidparticle mixture exhibits particle migration or maintains a uniform distribution under unsteady temperature gradients. Using the Buongiorno model for nanofluids, conservation equations were derived and discretized. The model focused on five cases with different nanoparticles and base fluids. Results showed that certain conditions led to uniform distribution, while others indicated potential particle migration, confirming the mathematical predictions with numerical simulations.
Authors
- Jeffrey S. Allen (ORCID: https://orcid.org/0000-0001-6992-2159)
- Udit Sharma (ORCID: https://orcid.org/0000-0002-9230-8955)
Institutions
- Michigan Technological University (US)
- Tennessee Technological University (US)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1615/tfec2025.hpu.055819
- Primary Topic
- Nanofluid Flow and Heat Transfer
- Type
- article
- Field-Weighted Citation Impact
- 0.00