Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/182331
Title: A theoretical model for mass transition rate at liquid-vapor sharp interface
Authors: Pan, Lun Sheng
Klaseboer, Evert
Lou, Jing
Kang, Chang-Wei
Li, Jun
Zhang, Xiaowu
Feng, Huicheng
Li, Hongying
Keywords: Engineering
Issue Date: 2025
Source: Pan, L. S., Klaseboer, E., Lou, J., Kang, C., Li, J., Zhang, X., Feng, H. & Li, H. (2025). A theoretical model for mass transition rate at liquid-vapor sharp interface. International Communications in Heat and Mass Transfer, 161, 108480-. https://dx.doi.org/10.1016/j.icheatmasstransfer.2024.108480
Project: C210415009
Journal: International Communications in Heat and Mass Transfer
Abstract: Phase change phenomena like evaporation and boiling have traditionally relied on accommodation coefficients, determined experimentally over centuries. This paper presents a new formula for the mass transition rate at a sharp interface, derived from the diffuse interface model in a two-phase system. The mass transition rate is proportional to the difference in chemical potentials between liquid and vapor which is consistent with the classical thermodynamic phase transition criteria. By using the saturation state at the interfacial temperature as a reference, unmeasurable parts of the chemical potentials are eliminated. The proposed model consists of two terms: the first accounts for the relative pressure between the liquid's vapor pressure and the vapor pressure at the interface, while the second reflects the contributions of surface tension and curvature. An alternative formulation expresses relative pressure as the temperature difference between the interfacial temperature and the saturation temperature corresponding to the vapor's interfacial pressure. Unlike traditional models, the proposed formula does not require accommodation coefficients, which typically vary by case. Validation against literature data for both flat and curved surfaces as well as micro-scale test setup shows reasonable agreement, demonstrating the model's effectiveness.
URI: https://hdl.handle.net/10356/182331
ISSN: 0735-1933
DOI: 10.1016/j.icheatmasstransfer.2024.108480
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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