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Inferential framework for two-fluid model of cryogenic chilldown

Luchinsky, D. G. and Khasin, M. and Timucin, D. and Sass, J. and Brown, B. (2017) Inferential framework for two-fluid model of cryogenic chilldown. International Journal of Heat and Mass Transfer, 114. pp. 796-808. ISSN 0017-9310

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    Abstract

    We report a development of probabilistic framework for parameter inference of cryogenic two-phase flow based on fast two-fluid solver. We introduce a concise set of cryogenic correlations and discuss its parameterization. We present results of application of proposed approach to the analysis of cryogenic chilldown in horizontal transfer line. We demonstrate simultaneous optimization of large number of model parameters obtained using global optimization algorithms. It is shown that the proposed approach allows accurate predictions of experimental data obtained both with saturated and sub-cooled liquid nitrogen flow. We discuss extension of predictive capabilities of the model to practical full scale systems.

    Item Type: Journal Article
    Journal or Publication Title: International Journal of Heat and Mass Transfer
    Uncontrolled Keywords: Chilldown ; Cryogenic flow ; Flow boiling ; Heat transfer ; Optimization ; Two-phase flow
    Subjects:
    Departments: Faculty of Science and Technology > Physics
    ID Code: 87939
    Deposited By: ep_importer_pure
    Deposited On: 06 Oct 2017 20:35
    Refereed?: Yes
    Published?: Published
    Last Modified: 21 Sep 2018 01:10
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/87939

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