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Experimental Investigation and CFD Simulation of Cryogenic Condenser

Jazayeri, Seyedsajjad ; Pourahmad, Afham ; Abdollahi, Seyyed Amirreza ; Hassanvand, Amin ; Alobaid, Falah ; Aghel, Babak (2023)
Experimental Investigation and CFD Simulation of Cryogenic Condenser.
In: Processes, 2023, 11 (6)
doi: 10.26083/tuprints-00024254
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Experimental Investigation and CFD Simulation of Cryogenic Condenser
Language: English
Date: 14 July 2023
Place of Publication: Darmstadt
Year of primary publication: 2023
Publisher: MDPI
Journal or Publication Title: Processes
Volume of the journal: 11
Issue Number: 6
Collation: 14 Seiten
DOI: 10.26083/tuprints-00024254
Corresponding Links:
Origin: Secondary publication DeepGreen

In this research, experimental investigation and the computational fluid dynamic (CFD) simulation of a cryogenic condenser for oxygen liquefaction was carried out. The liquid nitrogen was used as a cooling fluid. In the simulation section, a three-dimensional model with a structured mesh with high mesh quality for aspect ratio and skewness was considered. The multi-phase flow inside the condenser was studied numerically, using the volume of fluid (VOF) method. This work also examined the assessment of the vapor generation rate during the condensation of oxygen, based on the boiling heat transfer mechanism and the unique physical characteristics. The experiment was conducted to examine the simulation results. The effect of liquid nitrogen height on the oxygen mass flows was investigated using computational fluid dynamics (CFD). The average deviation of the CFD predictions from the available experimental oxygen mass flows was 17%.

Uncontrolled Keywords: computational fluid dynamic, cryogenic condensation, boiling, volume of fluid
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-242544
Additional Information:

This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023)

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institut für Energiesysteme und Energietechnik (EST)
Date Deposited: 14 Jul 2023 11:21
Last Modified: 10 Oct 2023 09:17
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/24254
PPN: 512161534
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