Natural laminar flow nacelle optimization design based on EFFD method

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

doi:10.13224/j.cnki.jasp.2014.10.006

Natural laminar flow nacelle optimization design based on EFFD method

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

航空学院

Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

21 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	2311-2320
页数	10
期刊	Hangkong Dongli Xuebao/Journal of Aerospace Power
卷	29
期	10
DOI	https://doi.org/10.13224/j.cnki.jasp.2014.10.006
出版状态	已出版 - 1 10月 2014

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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.",

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

author = "He, {Xiao Long} and Bai, {Jun Qiang} and Lu Xia and Song Chen and Lei Qiao",

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AU - He, Xiao Long

AU - Bai, Jun Qiang

AU - Xia, Lu

AU - Chen, Song

AU - Qiao, Lei

PY - 2014/10/1

Y1 - 2014/10/1

N2 - 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.

AB - 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.

KW - Aerodynamic shape optimization design

KW - Extended free-form deformation (EFFD)

KW - Kriging

KW - Natural laminar flow nacelle

KW - Particle swarm optimization(PSO)

KW - Transition model

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Natural laminar flow nacelle optimization design based on EFFD method

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