Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels - Part II. Two-phase heat transfer coefficient

401 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data (2020, methodology): “The ANN odel is superior to the highly reliable universal correlation by im and Mudawar [3] at predicting the test data, even predicting ndividual databases with high accuracy.”
Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels – Part I. Dryout incipience quality (2013, background): “The primary objective of the second part of this study [43] is to develop a generalized pre-dryout saturated flow boiling heat transfer correlation for mini/micro-channels.”
Review of channel flow boiling enhancement by surface modification, and instability suppression schemes (2020, background): “(6) Perhaps the most serious obstacle to adopting enhanced surfaces is absence of generalized predictive design tools for different channel shapes and sizes, and different fluids and operating conditions, such as the universal correlations available for two-phase flow and heat transfer in micro-chan”
Review of flow boiling and critical heat flux in microgravity (2015, background): “Surprisingly, there is great uncertainty in the heat transfer community concerning the precise definition of CHF, evidenced by differences in the experimental methods adopted for CHF detection [29,30], and these differences can lead to significant differences in the measured CHF [31].”