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Numerical study and optimisation of the boiling of refrigerant in a vertical corrugated tube using vapour phase tracking
Fluid Mechanics, Thermal Engineering and Multiphase Flow Research Lab. (FUTURE), Department of Mechanical Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi (KMUTT), Bangmod, Bangkok 10140, Thailand.
Department of Mechanical Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran.
School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China; Department of Mechanical Engineering, Center for Nanotechnology in Renewable Energies, Ferdowsi University of Mashhad, Mashhad, Iran.
Department of Mechanical Engineering, Yildiz Technical University, Yildiz, Besiktas, Istanbul, Turkey.
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2022 (English)In: International Journal of Heat and Mass Transfer, ISSN 0017-9310, E-ISSN 1879-2189, Vol. 183, article id 122116Article in journal (Other academic) Published
Abstract [en]

The present study deals with the numerical modelling of the boiling of a refrigerant flowing downward in a vertical corrugated tube while hot water is flowing upward inside an outer tube. Considering the R-134a refrigerant, we employ optimisation and vapour phase tracking methods in an attempt to improve the heat transfer during the boiling process. The two-phase flow is simulated by a novel approach in which the changes in the vapour–liquid interface are tracked at each time step. Differential evolution is used to optimise the shape of the corrugations on the surface of the tube so as to achieve maximum heat transfer and minimum friction. Through this structural optimisation, the heat transfer rate can be enhanced by 11%, while the friction factor decreases by 9%. Furthermore, the findings show that, as the corrugation depth is varied, the average vapour quality increases slightly before suddenly decreasing. According to our findings, the Nusselt number can be increased by up to 12%. Furthermore, the results show that optimisation improves the average vapour quality by more than 10%.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 183, article id 122116
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Energy Engineering
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URN: urn:nbn:se:mdh:diva-72724DOI: 10.1016/j.ijheatmasstransfer.2021.122116ISI: 000756683600006Scopus ID: 2-s2.0-85120377717OAI: oai:DiVA.org:mdh-72724DiVA, id: diva2:1983004
Available from: 2025-07-09 Created: 2025-07-09 Last updated: 2025-10-10Bibliographically approved

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Mesgarpour, Mehrdad

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