An experimental study of the effect of air quality on frosting on cold flat surface
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The average frost thickness is increased with an increase in PM 2.5 concentration.
“the average frost thickness was increased with an increase in PM 2.5 concentration.”
From Frosting mechanism and behaviors on surfaces with simple geometries: A state-of-the-art literature review (2022) · cites this paper as [89]
Cites
Study of frost properties correlating with frost formation types
Hayashi, Y., Aoki, A., Adachi, S., & Hori, K. (1977) · Journal of Heat Transfer · doi:10.1115/1.3450675 · Cited by 402 · see citing works
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
A study of frost growth and densification on flat surfaces
Hermes, C. J. L., Piucco, R. O., Barbosa, J. R., & Melo, C. (2009) · Experimental Thermal and Fluid Science · doi:10.1016/j.expthermflusci.2008.10.006 · Cited by 257 · see citing works
Frost growth and densification in laminar flow over flat surfaces
Kandula, M. (2011) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2011.02.056 · Cited by 141 · see citing works
Effective thermal conductivity of frost during the crystal growth period
Şahin, A. Z. (2000) · International Journal of Heat and Mass Transfer · doi:10.1016/s0017-9310(99)00162-3 · Cited by 53 · see citing works
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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
Zhang, L., Song, M., Deng, S., Shen, J., & Dang, C. (2022) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2022.118984 · Cited by 83 · 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
Zhang, P., Wang, Z., Wang, F., & Ma, L. (2025) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2025.125925 · Cited by 8 · see citing works
- Authors
- Gong, J., Sun, J., & Li, G.
- Affiliations
- Xi'an Jiaotong University (CN)
- Xi'an Technological University (CN)
- Corresponding author
- Gong, Jianying
- Venue
- International Communications in Heat and Mass Transfer
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 82
- Pages
- 139-144
- ISSN
- 0735-1933 (ISSN-L)
- OpenAlex
- W2588460127
- Cited by
- 18
- References
- 5
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 2 · 2020: 1 · 2019: 1 · 2018: 5
- FWCI
- 1.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Communications in Heat and Mass Transfer (publishedVersion)
- Funders
- National Natural Science Foundation of China (51106013, 50806059, 51109174)
- China Postdoctoral Science Foundation (2012M511998)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Icing and De-icing Technologies
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › nanoparticles nucleation surface interactions
- Physical Sciences › Engineering › Mechanics of Materials › Freezing and Crystallization Processes
- Keywords
- frost formation, supercooled water droplets, freezing, solute concentration, supercooling, heterogeneous nucleation, PM2.5, fine particles, frost thickness, electrolyte cations, heat transfer
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.
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