Multi-objective design optimization of cooling turbine blade based on kriging model

Liangbo Ao, Lei Li, Yuansheng Li, Zhixun Wen, Zhufeng Yue

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

1 Scopus citations

Abstract

The multi-objective design optimization of cooling turbine blade is studied using Kriging model. The optimization model is created, with the diameter of pin fin at the trailing edge of cooling turbine blade and the location, width, height of rib as design variable, the blade body temperature, flow resistance loss and aerodynamic efficiency as optimization object. The sample points are selected using Latin hypercube sampling technique, and the approximate model is created using Kriging method, the set of Pareto-optimal solutions of optimization objects is obtained by the multi-object optimization model using elitist non-dominated sorting genetic algorithm (NSGA-II) based on the approximate model. The result shows that the conflict among all optimization objects is solved effectively and the feasibility of the optimization method is improved.

Original languageEnglish
Title of host publicationFrontiers of Mechanical Engineering and Materials Engineering
Pages316-319
Number of pages4
DOIs
StatePublished - 2012
Event2012 International Conference on Frontiers of Mechanical Engineering and Materials Engineering, MEME 2012 - Hong Kong, Hong Kong
Duration: 27 Jul 201229 Jul 2012

Publication series

NameApplied Mechanics and Materials
Volume184-185
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2012 International Conference on Frontiers of Mechanical Engineering and Materials Engineering, MEME 2012
Country/TerritoryHong Kong
CityHong Kong
Period27/07/1229/07/12

Keywords

  • Cooling turbine blade
  • Kriging model
  • Multi-objective design optimization
  • NSGA-II

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