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Numerical Thermal Analysis and 2-D CFD Evaluation Model for An Ideal Cryogenic Regenerator

Almtireen, Natheer 1; Brandner, Jürgen J. 1; Korvink, Jan G. 1
1 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):
Regenerative cryocoolers such as Stirling, Gifford–McMahon, and pulse tube cryocoolers possess great merits such as small size, low cost, high reliability, and good cooling capacity. These merits led them to meet many IR and superconducting based application requirements. The regenerator is a vital element in these closed-cycle cryocoolers, but the overall performance depends strongly on the effectiveness of the regenerator. This paper presents a one-dimensional numerical analysis for the idealized thermal equations of the matrix and the working gas inside the regenerator. The algorithm predicts the temperature profiles for the gas during the heating and cooling periods, along with the matrix nodal temperatures. It examines the effect of the regenerator’s length and diameter, the matrix’s geometric parameters, the number of heat transfer units, and the volumetric flow rate, on the performance of an ideal regenerator. This paper proposes a 2D axisymmetric CFD model to evaluate the ideal regenerator model and to validate its findings.

Verlagsausgabe §
DOI: 10.5445/IR/1000117986
Veröffentlicht am 01.04.2020
DOI: 10.3390/mi11040361
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 2072-666X
KITopen-ID: 1000117986
HGF-Programm 43.22.01 (POF III, LK 01) Functionality by Design
Erschienen in Micromachines
Verlag MDPI
Band 11
Heft 4
Seiten Article No. 361
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Gefördert vom Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg (MWK) im Rahmen des Open-Access-Förderprogramms "BW BigDIWA"
Vorab online veröffentlicht am 30.03.2020
Schlagwörter cryogenics; MATLAB®; numerical thermal analysis; cryocooler; regenerator; optimization; ANSYS Fluent
Nachgewiesen in Scopus
Web of Science
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