Multiobjective optimization of a microchannel heat sink using evolutionary Algorithm

Afzal Husain, Kwang Yong Kim

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

A multiobjective performance optimization of microchannel heat sink is carried out numerically applying surrogate analysis and evolutionary algorithm. Design variables related to microchannel width, depth, and fin width are selected, and two objective functions, thermal resistance and pumping power, are employed. With the help of finite volume solver, Navier-Stokes analyses are performed at the design sites obtained from full factorial design of sampling methods. Using the numerically evaluated objective function values, polynomial response surface is constructed for each objective functions, and multiobjective optimization is performed to obtain global Pareto optimal solutions. Analysis of optimum solutions is simplified by carrying out trade-off with design variables and objective functions. Objective functions exhibit changing sensitivity to design variables along the Pareto optimal front.

Original languageEnglish
Pages (from-to)1-3
Number of pages3
JournalJournal of Heat Transfer
Volume130
Issue number11
DOIs
Publication statusPublished - Nov 2008

Keywords

  • Electronic cooling
  • Evolutionary algorithm
  • Microchannel
  • Multiobjective optimization
  • Numerical simulation

ASJC Scopus subject areas

  • Mechanical Engineering
  • Mechanics of Materials
  • Materials Science(all)
  • Condensed Matter Physics

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