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Simulating Heat Transfer During Transient Dropwise Condensation on a Low-Thermal-Conductivity Substrate
Ashley M Macner1, Susan Daniel1, Paul H Steen1
1Robert Frederick Smith School of Chemical & Biomolecular Engineering , Cornell University , 120 Olin Hall , Ithaca , New York 14853 , United States.
Simulating transient dropwise condensation with measured drop growth rates accurately predicts surface performance. This approach improves condenser design by accounting for maximum heat transfer during the transient state, unlike traditional methods.
Area of Science:
- Heat Transfer
- Fluid Dynamics
- Surface Science
Background:
- Surface heat-transfer performance depends on drop characteristics.
- Accurate simulation of transient states is crucial for condenser design, as peak heat rejection occurs during this phase.
- Traditional simulations focus on steady-state, which has lower heat transfer than the transient phase.
Purpose of the Study:
- To develop a simulation method for transient dropwise condensation using population-averaged drop growth rates.
- To improve the design of surfaces with higher heat-rejection capabilities.
- To investigate the impact of substrate thermal properties on condensation progression.
Main Methods:
- Simulated transient dropwise condensation using measured population-averaged drop growth rates.
- Modified single-drop heat-transfer models to include substrate conduction and thermal boundary layers.
- Compared simulation results with experimental data for pendant mode dropwise condensation.
Main Results:
- The simulation accurately predicted the time evolution of drop density, fractional coverage, condensate volume, and median drop radius.
- Assuming a constant temperature difference significantly underpredicts heat transfer.
- Substrate thermal properties influence condensation progression and removal performance.
Conclusions:
- The developed simulation method provides a reasonable prediction of transient dropwise condensation.
- Accounting for substrate conduction and thermal boundary layers is essential for accurate heat transfer prediction.
- Condensation may transition from site-specific nucleation to random nucleation during the process.
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