Journal
APPLIED THERMAL ENGINEERING
Volume 29, Issue 14-15, Pages 2816-2823Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.applthermaleng.2009.02.001
Keywords
Artificial neural network; Capillary tube; Mass flow rate correlation; R218
Funding
- Ministry of Education, Youth and Sports of the Czech Republic [LA08015, LA08032]
- MSM [6840770035]
- [AV0Z20760514]
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This paper presents some experimental results of refrigerant two-phase flow through a capillary tube. The data was obtained for fluorinert refrigerant R218, which is used in some special vapor cooling circuits, e.g. in various particle detectors at the CERN international research centre. An analytical correlation for mass flow rate of R218 was prepared on the bases of dimensionless parameters derived from the Buckingham pi-theorem. Two approaches were compared: (a) the conventional power law function and (b) correlation determined with the use of an artificial neural network. Measured data were also correlated with other mass flow rate correlations presented in literature. (C) 2009 Elsevier Ltd. All rights reserved.
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