The National Science Foundation (NSF) awarded Arizona State University a $423,929 Project Grant under the Engineering program (CFDA 47.041) to develop a novel temperature visualization method that integrates laser-based diagnostic tools and deep learning techniques. The goal is to enable the measurement and understanding of temperature changes in boiling fluids over finned surfaces, which is critical for improving the energy efficiency of heat exchangers used in applications such as data centers. The research aims to advance the fundamental understanding of thermal transport phenomena in boiling heat transfer, with potential benefits for the design of more effective finned heat exchangers. The award term runs from May 2024 through April 2029. No subawards are planned under this grant.
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