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基于EFFD方法的自然层流短舱优化设计

何小龙 白俊强 夏露 陈颂 乔磊

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
引用本文: 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, CHEN Song, QIAO Lei. Natural laminar flow nacelle optimization design based on EFFD method[J]. Journal of Aerospace Power, 2014, (10): 2311-2320. doi: 10.13224/j.cnki.jasp.2014.10.006
Citation: HE Xiao-long, BAI Jun-qiang, XIA Lu, CHEN Song, QIAO Lei. Natural laminar flow nacelle optimization design based on EFFD method[J]. Journal of Aerospace Power, 2014, (10): 2311-2320. doi: 10.13224/j.cnki.jasp.2014.10.006

基于EFFD方法的自然层流短舱优化设计

doi: 10.13224/j.cnki.jasp.2014.10.006
基金项目: 

省部级重点项目

详细信息
    作者简介:

    何小龙(1989- ),男,河北沧州人,硕士生,主要从事飞行器设计研究.

  • 中图分类号: V221.3

Natural laminar flow nacelle optimization design based on EFFD method

  • 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.

     

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出版历程
  • 收稿日期:  2013-07-04
  • 刊出日期:  2014-10-28

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