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Assessing Film Coefficients of Microchannel Heat Sinks via Cuckoo Search Algorithm

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Heuristics for Optimization and Learning

Part of the book series: Studies in Computational Intelligence ((SCI,volume 906))

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Abstract

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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Author information

Authors and Affiliations

  1. Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Monterrey, Nuevo León, Mexico

    Jorge M. Cruz-Duarte & Iván M. Amaya-Contreras

  2. Universidad de Guanajuato, División de Ingenierás del Campus Irapuato-Salamanca, Salamanca, Guanajuato, Mexico

    Arturo García-Pérez

  3. Universidad Industrial de Santander, Escuela de Ingenierías Eléctrica, Electrónica y de Telecomunicaciones, Bucaramanga, Santander, Colombia

    Rodrigo Correa

Authors
  1. Jorge M. Cruz-Duarte
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  2. Arturo García-Pérez
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  3. Iván M. Amaya-Contreras
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  4. Rodrigo Correa
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Corresponding author

Correspondence to Rodrigo Correa .

Editor information

Editors and Affiliations

  1. Laboratory of Logistics and Optimization of Industrial Systems (LOSI), University of Technology of Troyes (UTT), Troyes Cedex, France

    Farouk Yalaoui

  2. Industrial System Optimization Laboratory, University of Technology of Troyes (UTT), Troyes Cedex, France

    Lionel Amodeo

  3. CRISTAL UMR CNRS 9189 & INRIA Lille Nord Europe, Parc Scientifique de la Haute Borne, Polytech'Lille - Univrsité of Lille, Villeneuve d'Ascq, France

    El-Ghazali Talbi

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Cruz-Duarte, J.M., García-Pérez, A., Amaya-Contreras, I.M., Correa, R. (2021). Assessing Film Coefficients of Microchannel Heat Sinks via Cuckoo Search Algorithm. In: Yalaoui, F., Amodeo, L., Talbi, EG. (eds) Heuristics for Optimization and Learning. Studies in Computational Intelligence, vol 906. Springer, Cham. https://doi.org/10.1007/978-3-030-58930-1_25

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