Next Article in Journal
Design and Fabrication of a Kirigami-Inspired Electrothermal MEMS Scanner with Large Displacement
Next Article in Special Issue
Velocity Measurements in Channel Gas Flows in the Slip Regime by means of Molecular Tagging Velocimetry
Previous Article in Journal
A Low-Profile and High-isolated MIMO Antenna for 5G Mobile Terminal
Previous Article in Special Issue
Molecule Sensitive Optical Imaging and Monitoring Techniques—A Review of Applications in Micro-Process Engineering
Open AccessArticle

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

Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology (KIT); 76344 Eggenstein-Leopoldshafen, Germany
*
Author to whom correspondence should be addressed.
Scholarship holder to complete doctorate degree; granted by the German Jordanian University (GJU).
Micromachines 2020, 11(4), 361; https://doi.org/10.3390/mi11040361
Received: 21 February 2020 / Revised: 19 March 2020 / Accepted: 27 March 2020 / Published: 30 March 2020
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. View Full-Text
Keywords: cryogenics; MATLAB®; numerical thermal analysis; cryocooler; regenerator; optimization; ANSYS Fluent cryogenics; MATLAB®; numerical thermal analysis; cryocooler; regenerator; optimization; ANSYS Fluent
Show Figures

Figure 1

MDPI and ACS Style

Almtireen, N.; Brandner, J.J.; Korvink, J.G. Numerical Thermal Analysis and 2-D CFD Evaluation Model for An Ideal Cryogenic Regenerator. Micromachines 2020, 11, 361.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop