A “boiling crisis” is the rapid formation of a vapor film between the heating source and the liquid when the heat supply exceeds a critical value. New research by engineers at MIT offers insight into the phenomenon by using high-speed infrared cameras and machine learning. The goal was to estimate how close the water was to a boiling crisis. To collect data, the engineers boiled water on a surface of indium tin oxide, by itself or with one of three coatings: copper oxide nanoleaves, zinc oxide nanowires, or layers of silicon dioxide nanoparticles. The team found that 17 factors contributed significantly to prediction accuracy.
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