In the second part of this study a sensitivity analysis on the prediction methods is performed to consider the effect of plate geometry on thermal-hydraulic performance and an extensive comparison of all the two-phase pressure drop and flow boiling heat transfer prediction methods available in the open literature is also performed versus the large diversified database presented in Part 1. The experimental databank, from numerous independent research studies, is then utilized to develop the new prediction methods to evaluate local heat transfer coefficients and pressure drops. These new methods were developed from 1903 heat transfer and 1513 frictional pressure drop data points (3416 total), respectively, and were proved to work better over a very wide range of operating conditions, plate designs and fluids (including ammonia). The prediction for flow boiling heat transfer coefficients was broken down into separate macro-and microscale methods. Keywords Dimensional analysis Flow Boiling General heat transfer prediction method General pressure drop prediction method Multiple regression technique Plate heat exchangers Contents Nomenclature Introduction Sensitivity analysis Comparison of prediction methods Statistical comparison of prediction methods to data Dimension analysis and new flow boiling heat transfer and pressure drop prediction methods Conclusions Conflict of interests References
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.