Frost formation on a cold surface under turbulent flow
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Frost generates turbulence which enhances heat transfer.
“Frost generates turbulence which enhances heat transfer as discussed by Yang et al. (2006).”
From Frosting modeling on a cold flat plate: Comparison of the different assumptions and impacts on frost growth predictions (2016) · cites this paper as Yang et al., 2006
When ice layers form inside the frost layer, the density of the frost layer increases and the conduction thermal resistance decreases.
“When ice layers would form inside the frost layer, the density of the frost layer would increase, and the conduction thermal resistance would decrease [13,14].”
From Review on the measurement and calculation of frost characteristics (2018) · cites this paper as [14]
Air velocity had a minor effect on mass flux under turbulent flow conditions, whereas in laminar flow it increased the frost thickness.
“Air velocity had a minor effect on mass flux under turbulent flow conditions, whereas in laminar flow it increased the frost thickness.”
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 Yang et al. [42]
As air temperature decreased at constant air humidity, the frost layer increased, whereas the frost density decreased.
“In addition, as air temperature decreased at constant air humidity, the frost layer increased, whereas the frost density decreased.”
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 Yang et al. [42]
Frost growth and heat transfer are promoted by turbulent flow.
“showed that frost growth and heat transfer are promoted by turbulent flow.”
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 Yang et al. [42]
Cites
A one-dimensional model for frost formation on a cold flat surface
Lee, K.-S., Kim, W.-S., & Lee, T.-H. (1997) · International Journal of Heat and Mass Transfer · doi:10.1016/s0017-9310(97)00074-4 · Cited by 296 · see citing works
Self-citationFrost formation with varying environmental parameters
Jones, B. W., & Parker, J. D. (1975) · Journal of Heat Transfer · doi:10.1115/1.3450350 · Cited by 171 · see citing works
Modelling of frost growth and densification
Le Gall, R., Grillot, J. M., & Jallut, C. (1997) · International Journal of Heat and Mass Transfer · doi:10.1016/s0017-9310(96)00359-6 · Cited by 153 · see citing works
Modeling of frost formation over parallel cold plates
Ismail, K. A. R., & Salinas, C. S. (1999) · International Journal of Refrigeration · doi:10.1016/s0140-7007(98)00069-3 · Cited by 61 · see citing works
Frost growth around a cylinder in a wet air stream
Ismail, K. A. R., Salinas, C., & Gonçalves, M. M. (1997) · International Journal of Refrigeration · doi:10.1016/s0140-7007(96)00065-5 · Cited by 42 · see citing works
Frost formation and heat transfer on circular cylinders in cross-flow
Raju, S. P., & Sherif, S. A. (1993) · International Journal of Refrigeration · doi:10.1016/0140-7007(93)90056-e · Cited by 30 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Review on the measurement and calculation of frost characteristics
Song, M., & Dang, C. (2018) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2018.03.094 · Cited by 212 · see citing works
Frosting model for predicting macroscopic and local frost behaviors on a cold plate
Kim, D., Kim, C., & Lee, K.-S. (2015) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2014.11.048 · Cited by 103 · see citing works
Self-citationPhase change mass transfer model for frost growth and densification
Wu, X., Ma, Q., Chu, F., & Hu, S. (2016) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2016.01.018 · Cited by 100 · see citing works
Patil, M. S., Seo, J.-H., & Lee, M.-Y. (2017) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2016.11.107 · Cited by 86 · see citing works
Fin spacing optimization of a fin-tube heat exchanger under frosting conditions
Yang, D.-K., Lee, K.-S., & Song, S. (2006) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2006.01.016 · Cited by 81 · see citing works
Self-citationYe, H.-Y., & Lee, K.-S. (2013) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2013.08.026 · Cited by 70 · see citing works
Self-citationBrèque, F., & Nemer, M. (2016) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2016.06.010 · Cited by 70 · see citing works
Experimental and numerical investigations of frost formation on wavy plates
Ma, Q., Wu, X., Chu, F., & Zhu, B. (2018) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2018.04.098 · Cited by 56 · see citing works
A novel hybrid frost detection and defrosting system for domestic refrigerators
Malik, A. N., Khan, S. A., & Lazoglu, I. (2020) · International Journal of Refrigeration · doi:10.1016/j.ijrefrig.2020.05.016 · Cited by 44 · see citing works
Numerical Simulation of Frosting on Fin-and-Tube Heat Exchanger Surfaces
Wu, X., Ma, Q., & Chu, F. (2017) · Journal of Thermal Science and Engineering Applications · doi:10.1115/1.4035925 · Cited by 42 · see citing works
Sarmiento, A. P., de Sá Sarmiento, F. I. P., Shooshtari, A., & Ohadi, M. (2024) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2024.123680 · Cited by 29 · see citing works
New frost property correlations for a flat-finned-tube heat exchanger
Getu, H. M., & Bansal, P. K. (2011) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2010.11.007 · Cited by 12 · see citing works
Gao, F., Song, M., Hosseini, S. H., Zheng, H., Su, H., Xu, Y., & Lin, S.-L. (2025) · Experimental Thermal and Fluid Science · doi:10.1016/j.expthermflusci.2024.111405 · Cited by 11 · see citing works
- Authors
- Yang, D.-K., Lee, K.-S., & Cha, D.-J.
- Affiliations
- Hanyang University (KR)
- Hanbat National University (KR)
- Corresponding author
- Lee, Kwan-Soo
- Venue
- International Journal of Refrigeration
- Publisher
- Elsevier BV
- Published
- 2006-03
- Volume
- 29
- Issue
- 2
- Pages
- 164-169
- ISSN
- 0140-7007 (ISSN-L)
- OpenAlex
- W1985542583
- Cited by
- 75
- References
- 6
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 10 · 2023: 1 · 2022: 7 · 2021: 6 · 2020: 5 · 2019: 3 · 2018: 4 · 2017: 6 · 2016: 6 · 2015: 2 · 2014: 4 · 2013: 1 · 2012: 4
- FWCI
- 0.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Refrigeration (publishedVersion)
- Funders
- Korea Science and Engineering Foundation
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
- Physical Sciences › Engineering › Aerospace Engineering › Icing and De-icing Technologies
- Physical Sciences › Engineering › Mechanical Engineering › Heat Transfer and Optimization
- Keywords
- frost formation, frost layer growth, turbulent flow, cold surfaces, frost thickness, frost density, mass transfer, air velocity, air temperature, air humidity, k-epsilon turbulence model
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review