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 |
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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 |
Abstract: | 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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