Performance Prediction of Pulse Tube Refrigerator Using Artificial Neural Network

Pankaj Kumar; Sachindra Ku Rout; Ajay Ku Gupta; Rajit Ku Sahoo; Sunil Ku Sarangi

doi:10.4028/www.scientific.net/AMR.984-985.1147

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 984-985Performance Prediction of Pulse Tube Refrigerator...

Performance Prediction of Pulse Tube Refrigerator Using Artificial Neural Network

Abstract:

The present study proposes a numerical model to analyze the effect of four dimensional parameters on performance characteristics such as Coefficient of performance (COP), of the Inertance-Type Pulse Tube Refrigerator (ITPTR). The numerical model is validated by comparing with previously published results. The detail analysis of cool down behaviour, heat transfer at the cold end and the pressure variation inside the whole system has been carried out by using the most powerful computational fluid dynamic software package ANSYS FLUENT 13. The operating frequency for all the studied cases is (34 Hz). In fact, to get an optimum parameter experimentally is a very tedious for iterance pulse tube refrigerator job, so that the CFD approach gives a better solution. Finally, an artificial neural network (ANN) based process model is proposed to establish relation between input parameters and the responses. The model provides an inexpensive and time saving substitute to study the performance of ITPTR. The model can be used for selecting ideal process states to improve ITPTR performance.

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Periodical:

Advanced Materials Research (Volumes 984-985)

Pages:

1147-1149

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.984-985.1147

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Online since:

July 2014

Authors:

Pankaj Kumar, Sachindra Ku Rout, Ajay Ku Gupta, Rajit Ku Sahoo, Sunil Ku Sarangi

Keywords:

Artificial Neural Network (ANN), CFD, Inertance Tube, Pulse Tube

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References

[1] W Gifford, and R. Longsworth Pulse-tube refrigeration . Trans ASME, J Eng Ind (series B) 1964, 86, p.264–268.

DOI: 10.1115/1.3670530

Google Scholar

[2] E. Mikulin, A. Tarasov, and M. Shrebyonock . Low-temperature expansion pulse tubes, Advances in Cryogenics Engineering 1984, 29, pp.629-637.

DOI: 10.1007/978-1-4613-9865-3_72

Google Scholar

[3] Cha, J.S., et al., Multi-dimensional flow effects in pulse tube refrigerators. Cryogenics, 2006. 46(9): pp.658-665.

DOI: 10.1016/j.cryogenics.2006.03.001

Google Scholar

[4] S. K. Rout, A.K. Gupta, B.K. ChoudhuryR.K. Sahoo, S.K. Sarangi, Influence of Porosity on the Performance of a Pulse Tube Refrigerator: A CFD Study. Procedia Engineering, 2013. 51(0): pp.609-616.

DOI: 10.1016/j.proeng.2013.01.086

Google Scholar

[5] S. K. Rout, Choudhury B. K., Sahoo R.K. and Sarangi S. K. Numerical Study and Analysis of Inertance-Type Pulse Tube Refrigerator, WSEAS TRANSACTIONS on HEAT and MASS TRANSFER, 2014 pp.1-7.

Google Scholar

[6] S. K. Rout, D. P. Mishra, D.N. Thatoi and AK Mishra, Numerical Analysis of Mixed Convection through an Internally Finned Tube, Advances in Mechanical Engineering. Advances in Mechanical Engineering. 2012(ID 918342), p.10 pages.

DOI: 10.1155/2012/918342

Google Scholar