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考虑三维流动效应的自然层流短舱压力分布反设计

刘红阳,宋超,罗骁,周铸,吕广亮   

  1. 中国空气动力研究与发展中心
  • 收稿日期:2021-12-27 修回日期:2022-02-22 出版日期:2022-02-28 发布日期:2022-02-28
  • 通讯作者: 周铸

Pressure distribution inverse design of natural laminar flow nacelle considering 3D flow effects

  • Received:2021-12-27 Revised:2022-02-22 Online:2022-02-28 Published:2022-02-28
  • Contact: zhu zhou

摘要: 针对三维流动效应下非轴对称自然层流(Natural Laminar Flow, NLF)短舱设计困难的问题,发展了一种基于机器学习技术的压力分布反设计方法。短舱参数化建模使用自由曲面变形技术(Free Form Deformation, FFD),通过求解RANS方程和基于SST(Shear Stress Transport)湍流模型的r-Reθ转捩模型实现自然转捩预测,利用生成拓扑映射(Generative Topo-graphic Mapping, GTM)模型建立短舱外形及其压力分布数据集与低维隐空间变量的映射关系,全局优化算法在隐空间高效寻优,获得与目标压力分布匹配的短舱气动外形,实现自然层流短舱的反设计。GTM模型建立了数据集在高低维度间的高精度映射关系,优化设计过程中无需反复调用CFD(Computed Fluid Dynamics)求解器,设计效率大幅提升。利用该方法对通气短舱进行三维优化设计,设计所得非轴对称短舱外表面的自然层流区最大长度达当地弦长的36.0%,延长量为7.7%,验证了该方法在考虑三维流动效应下自然层流短舱的优化设计能力。

关键词: 生成拓扑映射, 反设计, 压力分布, 自然层流, 短舱

Abstract: An inverse design method of pressure distribution based on machine learning technology is developed aiming at the difficulty in the design of non-axisymmetric natural laminar flow (NLF) nacelle under three-dimensional flow effect. Free form deformation (FFD) technology is used for the parametric modeling of the nacelle. Natural transition prediction is realized by solving RANS equation and transition model r-Reθ which is based on SST (shear stress transport) turbulence model. The mapping relation-ship between the high dimensional data set and the low dimensional hidden space variables is established with the generative topological mapping (GTM) model. The global optimization algorithm efficiently optimizes in the hidden space, obtains the aerodynamic shape of the nacelle matching the target pressure distribution, and realizes the inverse design of the natural laminar flow nacelle. The GTM model establishes a high-precision mapping relationship between the high and low dimensions of the data set. There is no need to repeatedly call the CFD (computed fluid dynamics) solver in the optimization design process, and the design efficiency is greatly improved. The three-dimensional optimization of ventilation nacelle is carried out with this meth-od. The maximum length of the natural laminar flow area on the outer surface is 36.0% of the local chord length and the exten-sion is 7.7%. The optimization design ability of the NLF nacelle considering the three-dimensional flow effect is verified.

Key words: generative topographic mapping, inverse design, pressure distribution, natural laminar flow, nacelle

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