Natural laminar flow nacelle optimization design based on EFFD method

Xiao Long He, Jun Qiang Bai, Lu Xia, Song Chen, Lei Qiao

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Aerodynamic shape optimization of natural laminar flow (NLF) nacelle was studied using extended free-form deformation (EFFD) technique. An parameterization method for nacelle section based on EFFD using Bernstein base functions was implemented. γ-θ transition model coupling with k -ε shear stress transport (SST) turbulent model was used for transition prediction. An optimization system for NLF nacelle design was established in combination with EFFD, a hybrid grid deformation method, Kriging surrogate model and an improved particle swarm optimization. Both flow-through nacelle and powered nacelle were optimized using the optimization system. Optimized flow-through nacelle maintained a laminar flow about 48% and its drag coefficient was 0.000 3 less than initial flow-through nacelle. Powered nacelle maintained a 41% laminar flow after optimization. These results indicate that the optimization system is applicable in NLF nacelle design.

Original languageEnglish
Pages (from-to)2311-2320
Number of pages10
JournalHangkong Dongli Xuebao/Journal of Aerospace Power
Volume29
Issue number10
DOIs
StatePublished - 1 Oct 2014

Keywords

  • Aerodynamic shape optimization design
  • Extended free-form deformation (EFFD)
  • Kriging
  • Natural laminar flow nacelle
  • Particle swarm optimization(PSO)
  • Transition model

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