Experimental investigation and machine learning-based prediction of STHX performance with ethylene glycol–water blends and graphene nanoparticles

Journal of Thermal Analysis and Calorimetry(2024)

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摘要
The investigation revolves around conducting experiments to examine the heat transport properties of an STHX while utilizing various combinations of ethylene glycol (EG) and deionized water (DW) coolants, namely EG50:DW50, EG60:DW40, EG40:DW60, and EG40:DW60:NP10 (0.1
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关键词
Heat exchanger,Machine learning,Effectiveness,Nanocoolants,Evaluation matrices
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