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Fluid Machinery and Fluid Mechanics pp 185–190Cite as

Microchannel Heat Sinking: Analysis and Optimization

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Abstract

The present study reviews numerical optimizations of microchannel heat sink with the help of surrogate analysis. The design variables are decided from geometric and shape parameters that influence the performance of the microchannel heat sink. The basic surrogate models are explored with three-dimensional numerical analysis. The single objective optimization is performed taking thermal resistance as objective function and pumping power as constraint while multiobjective optimization is performed taking both thermal resistance and pumping power as objective functions. The sensitivity of the objective function is explored near the optimum point and distribution of the design variables are checked over the Pareto optimal front to analysis the contribution of the design variables to the objective functions. This analysis provides the designer a wide view to economically compromise with design variables considering fabrication methods and available pumping power sources.

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Author information

Authors and Affiliations

  1. Dept. of Mechanical Engineering, Inha University, Incheon, Korea

    Afzal Husain

  2. Dept. of Mechanical Engineering, Inha University, 253 Yonghyun-Dong, Nam-Gu, Incheon, Korea

    Kwang-Yong Kim

Authors
  1. Afzal Husain
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  2. Kwang-Yong Kim
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Editor information

Editors and Affiliations

  1. CSET Chinese Academy of Sciences, No.11 Bei Si Huan Xi Lu, 100190, Beijing, China

    Jianzhong Xu

  2. Department of Thermal Engineering, Tsinghua University, 100084, Beijing, China

    Yulin Wu

  3. Department of Automotive Engineering, Tsinghua University, 100084, Beijing, China

    Yangjun Zhang

  4. Turbocharging Technology, National Key Laboratory of Diesel Engine, P.O.Box 22, 030706, Datong, Shanxi, China

    Junyue Zhang

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© 2009 Tsinghua University Press, Beijing and Springer-Verlag GmbH Berlin Heidelberg

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Husain, A., Kim, KY. (2009). Microchannel Heat Sinking: Analysis and Optimization. In: Xu, J., Wu, Y., Zhang, Y., Zhang, J. (eds) Fluid Machinery and Fluid Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89749-1_25

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  • DOI: https://doi.org/10.1007/978-3-540-89749-1_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89748-4

  • Online ISBN: 978-3-540-89749-1

  • eBook Packages: EngineeringEngineering (R0)

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