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Vol.4 , No. 4, Publication Date: Aug. 21, 2017, Page: 67-73
| [1] | Kadayam Venkatraman Srinivasan, Low Temperature Facility, Tata Institute of Fundamental Research, Mumbai, India. |
| [2] | Manimaran Arunachalam, School of Mechanical Engineering, Veltech Dr RR & Dr SR Technical University, Chennai, India. |
| [3] | Rahul Pokale, Manjara Charitable Trust's Rajiv Gandhi Institute of Technology, Mumbai, India. |
| [4] | Arulprakasajothi Mahalingam, School of Mechanical Engineering, Veltech Dr RR & Dr SR Technical University, Chennai, India. |
Stirling cryocooler operates in a reverse Stirling cycle to produce refrigeration from work. Machines operating on the Stirling Cycle theoretically have the highest efficiency possible for any practical thermodynamic system. The regenerator is the key element of Stirling cryocooler and the performance of the regenerator directly affects the cryocooler performance. Regenerator is a compact periodic heat exchanger in which the fluid is in direct contact with the solid heat transfer area. Thus, it is essential to analyze the regenerator matrix, geometry, porosity and material along with the analysis on the thermal and flow characteristics of the regenerator for its optimization using numerical analysis. The preliminary studies were carried out on the porous sintered material type of cryocooler regenerator. Using the energy balance and continuity equation, matrix and fluid thermal equations were derived. CFD simulation has been carried out using ANSYS 16.0 and the porosity of the regenerator is predicted using the REGEN 3.3 Numerical Analysis Software for Regenerators. The main objective of this study is to maximize the available refrigeration by optimizing the key regenerator parameters such as the porosity and matrix material.
Keywords
Cryocooler, Regenerator, Optimization, Simulation, Porosity
Reference
| [01] | Technical note on Stirling cycle by M/s Stirling Cryogenics, Netherlands. Ref: https://www.stirlingcryogenics.com/files/__documents/3/StirlingCycle.pdf |
| [02] | Robert A. Ackermann, Cryogenic Regenerative Heat Exchangers, Plenum Press 1997. |
| [03] | ANSYS Fluent 16.0, the fluid and thermal simulation software. |
| [04] | W. M. Clearman et al., J. S. Cha et al., “Anisotropic steady-flow hydrodynamic parameters of microporous media applied to pulse tube and Stirling cryocooler regenerators,” Cryogenics 48 (2008) 112-121. |
| [05] | Y. B. Tao et al., “Numerical analysis on pressure drop and heat transfer performance of mesh regenerators used in cryocooler,” Cryogenics 49 (2009) 497-503. |
| [06] | Randall F. Barron, Gregory F. Nellis., Cryogenic Heat Transfer, Second Edition, CRC Press. |
| [07] | “Analysis of Porous Regenerator material of Stirling cryocooler using numerical techniques” – Poster presented by R. D. Pokale, K V Srinivasan et al., at 26th National Symposium on Cryogenics (NSCS-26), Kolkatta, India, February, 2017. Ref: http://indico.vecc.gov.in/indico/getFile.py/access?contribId=35&sessionId=14&resId=0&materialId=0&confId=44 |
| [08] | REGEN 3.3 Numerical Analysis software for regenerator, NIST. |
| [09] | K V Srinivasan, A Manimaran, et al., paper on “Study on Stirling Cryocooler” presented in NAFEMS International Conference on Engineering Modelling, Analysis Simulation and 3D Printing – NAFEMS-3D, August 2016. |
| [10] | C. O. Yadav et al., “CFD assisted prediction of hydrodynamic parameters for regenerator of cryocooler,” Procedia Technology 14 (2014) 328-335. |
