Prediction of the frost formation on a cold flat surface
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Frost density increases rapidly in the early stage of frost growth (less than about 30 min), and the rate of increase is small for times in excess of about 120 min.
“The frost density increases rapidly in the early stage of frost growth (less than about 30 min), and the rate of increase of frost density is small for times in excess of about 120 min.”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
There is considerable agreement between theory and data in the initial growth period (t < 30 min).
“It is however noticed that there is considerable agreement between the theory and the data in the initial growth period (t < 30 min).”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
The data suggest that sensible heat flux is considerably larger than latent heat flux (by a factor of about two), and decreases continuously during frost formation as the surface temperature of the frost layer increases with its growth.
“The data suggest that the sensible heat flux is considerably larger than the latent heat flux (by a factor of about two), and decreases continuously during frost formation as the surface temperature of the frost layer increases with its growth (Lee et al. [7]).”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
As pointed out in Lee et al. [7], there are very few experimental data for frost surface temperature reported in the literature due to difficulty of measurement with reasonable accuracy.
“As pointed out in Lee et al. [7], there are very few experimental data for frost surface temperature reported in the literature on account of the difficulty of measurement with a reasonable accuracy.”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
The latent heat flux remains fairly constant with time, following a small drop at the commencement of frost formation.
“On the other hand, the latent heat flux remains fairly constant with time, following a small drop at the commencement of frost formation.”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
From Fig. 7a, there is considerable deviation between prediction and data for frost thickness for times in excess of about 90 min, with a maximum deviation of 1 mm at t = 120 min (25% error), even though the predicted growth rate is reasonably satisfactory.
“From Fig. 7a, it is evident that there is considerable deviation between the prediction and the data for frost thickness for times in excess of about 90 min, with a maximum deviation 1 mm at t = 120 min (25% error), even though the predicted growth rate is seen to be reasonably satisfactory.”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
At t = 180 min, the model prediction is within about 1.0 °C of the test data.
“At t = 180 min, the model prediction is within about 1.0 ⁰C of the test data.”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
The total heat flux reduces from about 500 W/m2 at t = 15 min to about 400 W/m2 at t = 180 min (a 25% drop).
“The results also suggest that the total heat flux reduces from about 500 W/m² at t = 15 min to about 400 W/m² at t = 180 min (a 25% drop).”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
Excellent agreement is noted between predicted and measured frost density during the entire test period.
“Excellent agreement is noted between the theory and experiments during the entire test period.”
From Frost growth and densification in laminar flow over flat surfaces (2011) · cites this paper as [7]
The trend of frost growth and densification for cell no. 30 is consistent with existing experimental data (Chen et al. 1999, Lee et al. 2003).
“The trend of change shown is consistent with existing experimental data (Chen et al. 1999, Lee et al. 2003).”
From Studies of an air cooler under frost condition (2019) · cites this paper as Lee et al. 2003
For frost conditions, Lee et al. (2003) correlated their experimental results and postulated the Lewis number as 0.905 ± 0.005.
“For the condition of frost, Lee et al. (2003) correlated their experimental results postulated the Lewis number as 0.905 ± 0.005.”
From Studies of an air cooler under frost condition (2019) · cites this paper as Lee et al. (2003)
The convection coefficients hconv and hmass change along the airflow direction, so frost growth is not homogeneous on the plate and the problem is actually 2D.
“Although a 1D problem through frost thickness is considered, the convection coefficients hconv and hmass actually change along the airflow direction. Hence, the frost growth is not homogeneous on the plate and the problem is actually 2D (Lee et al., 2003; Mao et al., 1992; Robinson and Jacobi, 2001).”
From Frosting modeling on a cold flat plate: Comparison of the different assumptions and impacts on frost growth predictions (2016) · cites this paper as Lee et al., 2003
Lee et al. (2003) reported Lewis number values of 0.905.
“For information, Lee et al. (2003) reported values of 0.905.”
From Frosting modeling on a cold flat plate: Comparison of the different assumptions and impacts on frost growth predictions (2016) · cites this paper as Lee et al. (2003)
Le = 0.905 is the Lewis number [22].
“where Le = 0.905 is the Lewis number [22].”
From Performance prediction of a fin-and-tube heat exchanger considering air-flow reduction due to the frost accumulation (2013) · cites this paper as [22]
Frost formation on flat plate and cylindrical surfaces is relatively well known and can be predicted reliably with existing models and correlations.
“Therefore, frost formation on flat plate and cylindrical surface is relatively well known and can be predicted reliably with existing models and correlations.”
From Modeling for predicting frosting behavior of a fin–tube heat exchanger (2006) · cites this paper as [4]
The frosting process involves a complex, nonlinear, transient phase change coupled with heat and mass transfer, which makes accurate determination of frost-layer properties by experimental means challenging and costly.
“The frosting process involves a complex, nonlinear, transient phase change coupled with heat and mass transfer, which makes accurate determination of frost-layer properties by experimental means chal lenging and costly [28,57 -60].”
From A physics-informed quasi-steady frosting model with coupled heat–mass transfer for predicting frost layer growth (2026) · cites this paper as [59]
The calculation method proposed by O'Neal and Tree [6] was improved by Webb and coworker [7], Lee et al. [8], and Yao et al. [9].
“The calculation method proposed by O'Neal and Tree [6] was improved by Webb and coworker [7], Lee et al. [8], and Yao et al. [9].”
From Numerical Simulation of Frosting on Fin-and-Tube Heat Exchanger Surfaces (2017) · cites this paper as [8]
Lee et al. observed an initial rapid increase followed by a continuous decrease over time in frost thickness, frost density, and frost surface temperature.
“The authors observed a trend of an initial rapid increase followed by a continuous decrease over time in frost thickness, frost density and frost surface temperature”
From Heat transfer characteristics of the heat exchangers for refrigeration, air conditioning and heat pump systems under frosting, defrosting and dry/wet conditions—A review (2017) · cites this paper as Lee et al. [20]
Latent heat transfer remained constant, perhaps due to constant mass transfer caused by saturated absolute humidity.
“Indeed, the latent heat transfer remained constant, perhaps due to constant mass transfer caused by the saturated absolute humidity.”
From Heat transfer characteristics of the heat exchangers for refrigeration, air conditioning and heat pump systems under frosting, defrosting and dry/wet conditions—A review (2017) · cites this paper as Lee et al. [20]
Frost layer growth is accelerated by higher inlet velocity and absolute humidity.
“acknowledged that frost layer growth was accelerated by higher inlet velocity and absolute humidity.”
From Heat transfer characteristics of the heat exchangers for refrigeration, air conditioning and heat pump systems under frosting, defrosting and dry/wet conditions—A review (2017) · cites this paper as Lee et al. [20]
The drastic decrease of 25% in heat flux after 180 min was due to a decrease in sensible heat transfer as the frost-layer surface temperature increased.
“The authors also claimed that the drastic decrease of 25% in heat flux after 180 min was due to a decrease in sensible heat transfer as the frost-layer surface temperature increased.”
From Heat transfer characteristics of the heat exchangers for refrigeration, air conditioning and heat pump systems under frosting, defrosting and dry/wet conditions—A review (2017) · cites this paper as Lee et al. [20]
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“For the condition of frost, Lee et al. (2003) correlated their experimental results postulated the Lewis number as 0.905 ± 0.005.”
Influential
- Authors
- Lee, K.-S., Jhee, S., & Yang, D.-K.
- Affiliations
- Hanyang University (KR)
- LG (South Korea) (KR)
- Corresponding author
- Lee, Kwan-Soo
- ORCID
- Lee, Kwan-Soo
- Venue
- International Journal of Heat and Mass Transfer
- Publisher
- Elsevier BV
- Published
- 2003-09
- Volume
- 46
- Issue
- 20
- Pages
- 3789-3796
- ISSN
- 0017-9310 (ISSN-L)
- OpenAlex
- W2107064572
- Cited by
- 190
- References
- 17
- Citations by year
- 2026: 10 · 2025: 8 · 2024: 15 · 2023: 11 · 2022: 18 · 2021: 10 · 2020: 6 · 2019: 9 · 2018: 19 · 2017: 16 · 2016: 11 · 2015: 7 · 2014: 8 · 2013: 5 · 2012: 4
- FWCI
- 9.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Heat and Mass Transfer (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Icing and De-icing Technologies
- Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Physical Sciences › Engineering › Mechanical Engineering › Heat Transfer and Optimization
- Keywords
- frost formation, frost layer growth, air flow, frost density, heat and mass transfer, convective heat transfer, convective mass transfer
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