Surrogate-based analysis and optimization for the design of heat sinks with jet impingement

Xueguan Song, Jie Zhang, Sanghoon Kang, Mingyao Ma, Bing Ji, Wenping Cao, Volker Pickert

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Heat sinks are widely used for cooling electronic devices and systems. Their thermal performance is usually determined by the material, shape, and size of the heat sink. With the assistance of computational fluid dynamics (CFD) and surrogate-based optimization, heat sinks can be designed and optimized to achieve a high level of performance. In this paper, the design and optimization of a plate-fin-type heat sink cooled by impingement jet is presented. The flow and thermal fields are simulated using the CFD simulation; the thermal resistance of the heat sink is then estimated. A Kriging surrogate model is developed to approximate the objective function (thermal resistance) as a function of design variables. Surrogate-based optimization is implemented by adaptively adding infill points based on an integrated strategy of the minimum value, the maximum mean square error approach, and the expected improvement approaches. The results show the influence of design variables on the thermal resistance and give the optimal heat sink with lowest thermal resistance for given jet impingement conditions. 

Original languageEnglish
Pages (from-to)429-437
Number of pages9
JournalIEEE Transactions on Components, Packaging and Manufacturing Technology
Volume4
Issue number3
DOIs
Publication statusPublished - Mar 2014

Keywords

  • Computational fluid dynamics (CFD)
  • design optimization
  • global sensitivity analysis (GSA)
  • heat sinks
  • impingement
  • surrogate

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Industrial and Manufacturing Engineering

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