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Coupled Modeling of CO2 Frosting, Fluid Flow, and Heat Transfer under Cryogenic Conditions Using a Nucleation-Based CFD Framework
College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao, China
* Corresponding Author: Xuewen Cao. Email:
Fluid Dynamics & Materials Processing 2026, 22(7), 8 https://doi.org/10.32604/fdmp.2026.080209
Received 04 February 2026; Accepted 12 May 2026; Issue published 31 July 2026
Abstract
A two-dimensional Computational Fluid Dynamics (CFD) model, grounded in classical nucleation theory, is developed to investigate CO2 frosting and the associated heat transfer under cryogenic conditions. The model integrates gas–solid phase-change kinetics with multiphysics transport equations to capture the coupled phenomena governing frost formation. The Peng–Robinson equation of state is employed to predict CO2 frost points in binary mixtures, with model predictions validated against experimental data, yielding errors in frost thickness and thermal conductivity below 15%. The results demonstrate that decreasing the cryogenic wall temperature from 160 K to 150 K increases the average frost thickness and density by 57% and 78%, respectively, while advancing the peak in thermal resistance by approximately 5 min. A reduction in CO2 mol fraction from 10% to 6% leads to an 82% decrease in average frost density. Although inlet velocity exerts a limited influence on frost density, excessively high velocities increase porosity and inhibit densification. Flow field analysis reveals that progressive frost growth constricts the effective channel area, resulting in a local velocity increase of approximately 23%. Moreover, the spatial distributions of supersaturation and nucleation rate exhibit strong consistency. These findings elucidate the complex coupling between CO2 frosting, fluid flow, and heat transfer in Pressurized Liquefied Natural Gas (PLNG) systems, offering theoretical insights for optimizing low-energy CO2 cryogenic capture and enhancing natural gas liquefaction processes.Keywords
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Copyright © 2026 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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