Optimization of an indirect micro-jet impingement cooling system

S. M. Kim, A. Husain, K. Y. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Present study investigates the thermal and hydraulic performances of the indirect liquid cooling system and optimizes design variables to obtain maximum cooling performance. The performances were evaluated by three-dimensional numerical analyses for steady incompressible turbulent flow and conjugate heat transfer through a finite volume solver. The validation of the numerical results for the indirect cooling system was performed in comparison with experimental data. Maximum temperature at the chips and pressure drop through the system were selected as the performance parameters. At the various mass flow rates, the optimum shape obtained by Kriging model gives values that are much smaller than those of the reference shape. In the case of mass flow 0.0124625kg/s, the optimum shape shows 89.56% decreased value against the reference shape.

Original languageEnglish
Title of host publication12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Publication statusPublished - 2012
Event12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Indianapolis, IN, United States
Duration: Sep 17 2012Sep 19 2012

Other

Other12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CountryUnited States
CityIndianapolis, IN
Period9/17/129/19/12

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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  • Cite this

    Kim, S. M., Husain, A., & Kim, K. Y. (2012). Optimization of an indirect micro-jet impingement cooling system. In 12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference