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CFD Simulation of Frost on Horizontal Cold Surfaces
Kailiang Huang1, Jiaxing Wei1, Xianshi Fang2
1School of Municipal and Environment Engineering, Shenyang Jianzhu University.
Journal of Visualized Experiments : Jove
|September 29, 2025
Summary
A new numerical model improves frost formation prediction by incorporating density variations and using an Eulerian multiphase flow approach. This enhanced frost modeling offers greater accuracy for applications in refrigeration and natural gas processing.
Area of Science:
- Thermodynamics
- Fluid Mechanics
- Heat Transfer
Background:
- Frost formation is a complex phenomenon critical in various industries like refrigeration and natural gas processing.
- Existing numerical models for frost formation face limitations in accuracy and reliability.
- Accurate modeling is essential for optimizing processes and preventing issues caused by frost.
Purpose of the Study:
- To introduce a modified numerical model for frost formation.
- To enhance the accuracy of frost prediction by considering density variations.
- To provide a more reliable tool for simulating frost phenomena.
Main Methods:
- Utilized an Eulerian multiphase flow approach.
- Incorporated the Lee phase change model.
- Updated the method for determining maximum frost volume fraction to account for density changes.
Main Results:
- The modified model demonstrated a Mean Absolute Relative Deviation (MARD) of 8.97% for frost thickness.
- The model achieved a MARD of 16.06% for frost density.
- Predicted frost morphology closely matched experimental observations.
Conclusions:
- The developed numerical model offers improved accuracy in predicting frost thickness, density, and distribution.
- The consideration of density variations significantly enhances the model's predictive capabilities.
- This validated model provides a more reliable tool for engineering applications involving frost formation.
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