A kriging-simulated annealing meta-algorithm for optimization of convective heat transfer in a grooved channel

Sertac Cadirci*, Alpay Akguc, Hasan Gunes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As computational fluid dynamics (CFD) simulations still take a lot of time in industry for design optimization analyses, we propose to reduce the number of required CFD simulations considerably using a new meta-algorithm. The algorithm consists of employing kriging in conjunction with simulated annealing (SA) as a design tool. The method enables effective and fast design optimization for complex fluid flow systems. In this paper, it is applied to a convective heat transfer problem in a channel with periodic heat sources with constant heat flux. We show that the geometry optimization of two dimensional thermo-fluids problems in complex geometries is made more effective and faster using kriging-simulated annealing metaalgorithm.

Original languageEnglish
Title of host publicationTransportation Systems; Safety Engineering, Risk Analysis and Reliability Methods; Applied Stochastic Optimization, Uncertainty and Probability
PublisherAmerican Society of Mechanical Engineers (ASME)
Pages795-803
Number of pages9
ISBN (Print)9780791854952
DOIs
Publication statusPublished - 2011
EventASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011 - Denver, CO, United States
Duration: 11 Nov 201117 Nov 2011

Publication series

NameASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011
Volume9

Conference

ConferenceASME 2011 International Mechanical Engineering Congress and Exposition, IMECE 2011
Country/TerritoryUnited States
CityDenver, CO
Period11/11/1117/11/11

Keywords

  • Convective heat transfer
  • Kriging
  • Optimization
  • Simulated annealing

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