Assessing Film Coefficients of Microchannel Heat Sinks via Cuckoo Search Algorithm

© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.Film transfer coefficient is one of the most challenging variables to measure in experimental heat transfer. This happens because such a variable depends on too many others. Examples include type of media (gas or liquid), body geometry, fluid flow, thermal conductivity, and many more thermodynamic properties. In chapter proposes an estimation strategy for the film transfer coefficient by solving an inverse heat transfer problem via the Cuckoo Search global optimization algorithm. The designs were achieved through the entropy generation minimization criterion, also powered by Cuckoo Search, employing several specifications (material, working fluid and heat power). Obtained results show great estimations for signal-to-noise ratios above 30 dB, which can be reached with virtually any modern temperature sensors.

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