Abstract
A high-fidelity computational fluid dynamics (CFD)-based model for bubble nucleation of the refrigerant HFE7100 on micrometer-featured surfaces is presented in this work. The single-fluid, incompressible Navier-Stokes equations, along with energy transport and natural convection effects, are solved on a featured surface resolved grid. An a priori cavity detection method is employed to convert raw profilometer data of a surface into well-defined cavities. The cavity information and surface morphology are represented in the CFD model by geometric mesh deformations. Surface morphology is observed to initiate buoyancy-driven convection in the liquid phase, which in turn results in faster nucleation of cavities. Simulations pertaining to a generic rough surface show a trend where smaller size cavities nucleate with higher wall superheat. This local-scale model will serve as a self-consistent connection to larger device scale continuum models where local feature representation is not possible.
Original language | American English |
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Number of pages | 11 |
DOIs | |
State | Published - 2017 |
Event | ASME 2017 Heat Transfer Summer Conference, HT 2017 - Bellevue, United States Duration: 9 Jul 2017 → 12 Jul 2017 |
Conference
Conference | ASME 2017 Heat Transfer Summer Conference, HT 2017 |
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Country/Territory | United States |
City | Bellevue |
Period | 9/07/17 → 12/07/17 |
Bibliographical note
See NREL/CP-2C00-68294 for preprintNREL Publication Number
- NREL/CP-2C00-70576
Keywords
- CFD
- computational
- fluid dynamics
- high fidelity
- incompressible Navier-Stokes
- profilometer
- surface morphology