  This paper is the second part of a two-part series, which introduces and
demonstrates a Validation and Uncertainty Quantification (VUQ) framework that
serves two major purposes: i). quantify the uncertainties of the closure
relation parameters and predictions of the Multiphase Computational Fluid
Dynamics (MCFD) solver; ii). evaluate the agreement between the solver
predictions and the experimental measurements. The framework, with the
corresponding theory and method, are outlined in the first part paper. In this
paper, the workflow of the framework is implemented and demonstrated for two
relevant case studies: the wall boiling heat transfer in subcooled boiling flow
and the adiabatic bubbly flow. The influential closure relation parameters for
multiple quantities of interest (QoIs) are identified through two different
global sensitivity analysis (GSA) methods: Morris screening and Sobol indices.
The model form uncertainty and model parameter uncertainty of relevant closure
relations are evaluated using the modular Bayesian approach. The uncertainties
of QoIs are quantified by propagating the obtained uncertainties through the
solver. The agreement between solver predicted QoIs and the experimental
measurement are evaluated using two different validation metrics: confidence
interval and area metric. The results demonstrate the applicability of the
framework.
