Assesment of Selected Film-Boiling Prediction Methods

Abstract

Seven film-boiling prediction methods have been assessed with a large film-boiling heat transfer database, which contains 46,068 data points. The assessment is performed in two ways: (1) with all fully developed film-boiling data, and (2) with the complete film-boiling database. The prediction accuracy of these methods is presented in terms of average and root-mean-square errors for each data set. The detailed prediction accuracy in each sub-parametric region has also been presented to show the applicable range of each method. The assessment result shows that the film-boiling look- up table provides the best overall prediction accuracy. The Köhler-Hein model provides reasonable prediction accuracy for the film-boiling heat-transfer coefficient over a wide range of flow conditions. Other models are either less accurate or are applicable within a narrower range of conditions than the look-up table and the Köhler-Hein model.