Machine learning algorithms to predict flow boiling pressure drop in mini/micro-channels based on universal consolidated data
Author:
Funder
U.S. Navy
Office of Naval Research
Publisher
Elsevier BV
Subject
Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics
Reference74 articles.
1. Universal approach to predicting two-phase frictional pressure drop for mini/micro-channel saturated flow boiling;Kim;Int. J. Heat Mass Transf.,2013
2. Flow boiling heat transfer in two-phase micro-channel heat sinks––I. Experimental investigation and assessment of correlation methods;Qu;Int. J. Heat Mass Transf.,2003
3. Two-phase microchannel heat sinks: theory, applications, and limitations;Mudawar;J. Electron. Packag.,2011
4. Review of databases and predictive methods for pressure drop in adiabatic, condensing and boiling mini/micro-channel flows;Kim;Int. J. Heat Mass Transf.,2014
5. Measurement and prediction of pressure drop in two-phase micro-channel heat sinks;Qu;Int. J. Heat Mass Transf.,2003
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