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Multiphase Science and Technology
SJR: 0.153 SNIP: 0.222 CiteScore™: 0.26

ISSN 印刷: 0276-1459
ISSN オンライン: 1943-6181

Multiphase Science and Technology

DOI: 10.1615/MultScienTechn.2017015681
pages 99-133

AN ASSESSMENT OF THE CORRELATIONS FOR ENTRAINMENT AND DEPOSITION RATES IN ANNULAR FLOW FOR DRYOUT PREDICTION

Arnab Dasgupta
Reactor Engineering Division, Bhabha Atomic Research Centre (BARC), Mumbai-400085, India
D. K. Chandraker
Reactor Engineering Division, Bhabha Atomic Research Centre (BARC), Mumbai-400085, India
S. P. Walker
Department of Mechanical Engineering, Imperial College of Science Technology and Medicine, London, SW7 2AZ, United Kingdom
P. K. Vijayan
Reactor Engineering Division, Bhabha Atomic Research Centre, Mumbai-400085, India

要約

The use of phenomenological modeling for the prediction of dryout is very attractive because it offers considerable flexibility and the ability to address a wide range of operating conditions. The approach requires knowledge of the rates of the droplet deposition and entrainment as its basic constituents. These rates are determined experimentally, with the experimental observations gathered and used in the form of correlations. Over the considerable period in which phenomenological modeling has been (and still is) under active development numerous measurements have been made and many correlations, correspondingly, have been developed. This presents the analyst or phenomenological code developer with the requirement to choose from among these many possibilities. The difficulty in this choice is compounded by the fact that it is desirable to choose correlations as a logically matched set rather than as independent entities in order to ensure that conditions associated with the correlations are as internally consistent as possible. We present here an attempt to identify suitable groupings of correlations and we compare their performance in predicting dryout against annular flow observations. The correlations are also compared to each other based on theoretical considerations and a framework is proposed through which the appropriateness of the parameters in a correlation can be judged. Finally, a preferred set of entrainment-deposition correlations among those studied is identified.


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