Natural laminar flow nacelle optimization design based on EFFD method

HE Xiao-long; BAI Jun-qiang; XIA Lu; CHEN Song; QIAO Lei

doi:10.13224/j.cnki.jasp.2014.10.006

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Natural laminar flow nacelle optimization design based on EFFD method

更新时间：2026-07-07

- Natural laminar flow nacelle optimization design based on EFFD method
- Issue 10, (2014)
- 作者机构：
  
  西北工业大学航空学院,西安,710072
- 作者简介：
- 基金信息：
- DOI：10.13224/j.cnki.jasp.2014.10.006
  CLC：
- Published：2014
- 稿件说明：
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何小龙, 白俊强, 夏露, 陈颂, 乔磊. 基于EFFD方法的自然层流短舱优化设计[J]. 航空动力学报, 2014, (10): 2311-2320. doi: 10.13224/j.cnki.jasp.2014.10.006

HE Xiao-long, BAI Jun-qiang, XIA Lu, et al. Natural laminar flow nacelle optimization design based on EFFD method[J]. 2014, (10).
何小龙, 白俊强, 夏露, 陈颂, 乔磊. 基于EFFD方法的自然层流短舱优化设计[J]. 航空动力学报, 2014, (10): 2311-2320. doi: 10.13224/j.cnki.jasp.2014.10.006 DOI：

HE Xiao-long, BAI Jun-qiang, XIA Lu, et al. Natural laminar flow nacelle optimization design based on EFFD method[J]. 2014, (10). DOI： 10.13224/j.cnki.jasp.2014.10.006.

摘要

采用extended free-form deformation（EFFD）方法研究了自然层流（natural laminar flow，NLF）短舱的气动外形优化设计方法.使用基于Bernstein基函数的EFFD方法完成了NLF短舱剖面的参数化，利用基于k-ε SST（shear stress transport）两方程湍流模型的γ-θ转捩模型进行自然转捩预测，结合EFFD、一种混合动网格方法、Kriging代理模型和改进的粒子群算法（particle swarm optimization，PSO）建立了针对NLF短舱气动外形的优化设计框架.采用该框架分别对通气NLF短舱和带动力NLF短舱进行优化设计.单独通气NLF短舱优化结果的外表面实现48%的层流，阻力系数比初始通气NLF短舱减小了0.0003.带动力NLF短舱的优化结果外表面保持了41%的层流.这些结果表明采用相关技术建立的优化设计框架在NLF短舱设计中具有一定应用价值.

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 0.0003 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.

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