CFD Simulation of Frost on Horizontal Cold Surfaces

Frost formation is a common phenomenon observed across many different fields, including refrigeration, construction, and natural gas processing. However, due to its complex nature, developing an accurate and reliable numerical model remains a significant challenge. Despite previous efforts to tackle this issue, current models still have certain limitations. This paper introduces a modified numerical model for frost formation, developed based on the fundamental mechanisms underlying frost formation. The model utilizes an Eulerian multiphase flow approach coupled with the Lee phase change model. In addition, the approach for determining the maximum frost volume fraction is updated, enabling the model to consider density variations during the frosting process. The model is rigorously validated by comparing it with experimental data on thickness, density, and distribution from various studies. The results indicate that the mean absolute relative deviation (MARD) for frost thickness is 8.97%, while the MARD for density is 16.06%. Furthermore, the frost morphology predicted by the model closely matches the experimental observations reported in the reference.

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Publication Details

Journal
Journal of Visualized Experiments
Published
2025-09-12
DOI
https://doi.org/10.3791/68133
Primary Topic
Icing and De-icing Technologies
Type
article
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article

CFD Simulation of Frost on Horizontal Cold Surfaces

Kailiang Huang, Jiaxing Wei, Xianshi Fang, Guohui Feng et al.
Journal of Visualized Experiments
Icing and De-icing Technologies
article

CFD Simulation of Frost on Horizontal Cold Surfaces

Kailiang Huang, Jiaxing Wei, Xianshi Fang, Guohui Feng, Guodong Qiu, Xian Jie Meng
article en

Abstract

Frost formation is a common phenomenon observed across many different fields, including refrigeration, construction, and natural gas processing. However, due to its complex nature, developing an accurate and reliable numerical model remains a significant challenge. Despite previous efforts to tackle this issue, current models still have certain limitations. This paper introduces a modified numerical model for frost formation, developed based on the fundamental mechanisms underlying frost formation. The model utilizes an Eulerian multiphase flow approach coupled with the Lee phase change model. In addition, the approach for determining the maximum frost volume fraction is updated, enabling the model to consider density variations during the frosting process. The model is rigorously validated by comparing it with experimental data on thickness, density, and distribution from various studies. The results indicate that the mean absolute relative deviation (MARD) for frost thickness is 8.97%, while the MARD for density is 16.06%. Furthermore, the frost morphology predicted by the model closely matches the experimental observations reported in the reference.

Journal of Visualized Experiments(223)
Electric Power University (VN), Shenyang Jianzhu University (CN)
Openalex Percentile: Top 65%
Icing and De-icing Technologies
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CFD Simulation of Frost on Horizontal Cold Surfaces — Kailiang Huang, Jiaxing Wei, et al. · Journal of Visualized Experiments (2025) | TGRS Research Map | TGRS