A new boiling crisis criterion developed by MIT researchers predicts inefficiency by factoring in nucleation site density, bubble size, growth time, and detachment rate. This breakthrough could revolutionize energy, cooling, and various other fields, leading to significant efficiency and safety improvements.
A new boiling crisis criterion predicts inefficiency by factoring in nucleation site density, bubble size, growth time, and detachment rate.Researchers at MIT have unlocked the hidden power of boiling by exploring its role in energy, cooling, and more, promising breakthroughs in efficiency and safety.
“Boiling is important for applications way beyond nuclear. Boiling is used in 80 percent of the power plants that produce electricity. My research has implications for space propulsion, energy storage, electronics, and the increasingly important task of cooling computers,” said Bucci in a statement.Although boiling water seems straightforward, understanding its physics has taken ten years and has been fraught with difficulties and revelations.
Experiments confirm its applicability across various surface types, boiling conditions, and fluids like water and liquid nitrogen. Understanding this criterion aids in designing surfaces that enhance boiling performance and prevent the boiling crisis. In order to further thermal science, artificial intelligence is also being incorporated. Its potential is demonstrated by a recent multi-university research project devoted to machine learning in this area.
ENERGY COOLING BOILING CRISIS HEAT TRANSFER NUCLEAR REACTORS
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