Anomalies and other concerns related to the critical heat flux

This paper summarizes various unusual trends in the critical heat flux (CHF) that have been observed experimentally in tubes or bundle subassemblies. They include the following:• ence of a minimum in the CHF vs. quality (X) curve at high flows – leading to an initial upstream CHF occurrence in uniformly heated channels. This phenomenon has been observed at high flows in both water and Freon. ence of a limiting quality region on the CHF vs. X curve where the CHF drops by 30–90% for a nearly constant quality. This is thought to correspond to the boundary between the entrainment controlled and the deposition controlled region and causes problems for prediction methods of the form CHF = f(X). of flow obstructions on the occurrence of upstream CHF and the limiting quality region. The additional mixing by grid spacers or bundle appendages results in a more homogeneous phase distribution, and diminishes the effects of flow regime/heat transfer regime transitions responsible for some of the unusual CHF trends, and results in a more gradually decreasing CHF vs. X curve. e of a CHF temperature excursion at high flows and high qualities – this is found to be caused by a change in slope of the transition boiling part of the boiling curve from a negative value (usual trend that results in a temperature excursion) to a positive slope. l disappearance of the sharp temperature excursion at CHF when increasing the pressure towards and beyond the critical pressure – no drastic change is observed in the axial temperature distribution of a heated tube experiencing CHF when, for constant mass flux and inlet temperature, the pressure is gradually increased from subcritical to supercritical. uid-to-fluid modelling: differences in CHF trends at certain conditions between refrigerants and water at equivalent conditions. chanisms responsible for these trends and the implications for bundle geometries are discussed. ns regarding the reported uncertainty of predicted CHF values and the range of application of CHF prediction methods are also discussed.