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Lattice Boltzmann model for predicting frosting process on surfaces considering wettability
Shusheng Zhang1, Taiping Jiang1, Hai Huang2
1Key Laboratory of Enhanced Heat Transfer and Energy Conservation of Education Ministry, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, China.
Physical Review. E
|July 19, 2023
Summary
A new lattice Boltzmann model predicts frost formation and growth by considering surface wettability. This model aids in understanding frost behavior on various surfaces, improving thermal management strategies.
Area of Science:
- Multiscale physics
- Thermodynamics
- Surface science
Background:
- Frost formation is a complex multiscale phenomenon.
- Accurate numerical modeling of frosting presents significant challenges.
- Understanding frost growth is crucial for thermal management and energy efficiency.
Purpose of the Study:
- To propose a lattice Boltzmann model for predicting frost formation and growth.
- To incorporate heterogeneous nucleation and dendrite growth theories into the model.
- To account for the influence of surface wettability on frosting behavior.
Main Methods:
- Utilized three lattice Boltzmann equations for velocity, humidity, and temperature.
- Developed governing equations for ice production based on nucleation and dendrite growth theories.
- Integrated surface wettability, including contact angles and roughness, into the model.
Main Results:
- The model accurately predicts frost formation and growth on surfaces with varying wettabilities.
- Experimental validation confirmed the model's predictive capabilities.
- Analysis revealed the effects of intrinsic contact angles and roughness on frost layer properties.
Conclusions:
- The proposed lattice Boltzmann model provides a robust framework for simulating frosting.
- The model enhances understanding of frost behavior at the mesoscopic level.
- This research facilitates improved design and performance of systems prone to frosting.
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