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We report a development of probabilistic framework for parameter inference ofcryogenic two-phase flow based on fast two-fluid solver. We introduce a conciseset of cryogenic correlations and discuss its parameterization. We presentresults of application of proposed approach to the analysis of cryogenicchilldoown in horizontal transfer line. We demonstrate simultaneousoptimization of large number of model parameters obtained using globaloptimization algorithms. It is shown that the proposed approach allows accuratepredictions of experimental data obtained both with saturated and sub-cooledliquid nitrogen flow. We discuss extension of predictive capabilities of themodel to practical full scale systems.

Inferential framework for two-fluid model of cryogenic chilldown