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合页式可调总压畸变发生器效果预测及调节方法研究

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为研究一种新型合页式可调总压畸变发生器的畸变特性,并实现针对特定目标图谱,指导此型畸变发生器调节的目的。采用风洞实验方法对其畸变流场进行研究,利用遗传算法优化的反向传播人工神经网络进行建模与分析,得到了可通过来流马赫数及畸变发生器合页开合角度预测下游稳态总压畸变图谱的预测模型,并以此为依据开发了调节方案快速设计程序,为此类总压畸变发生器的实际使用建立了一套有效的方法。结果表明:预测模型可以快速有效预测畸变发生器下游测量截面处各测点的总压恢复系数,而调节方案快速设计程序可有效简化此型畸变发生器的使用流程。
Research on effect prediction and adjustment method of hinge-type adjustable total pressure distortion generator
In order to study the characteristics of a new hinge-type adjustable distortion generator and realize the purpose of guiding the adjustment of this type of distortion generator for specific target map,wind tunnel test was conducted to analyze its distortion flow field,and the GA-BPANN was used for modeling,finally a prediction model that can predict the downstream steady-state total pressure distortion map through the Mach number of the incoming flow and the angle of the distortion generator hinge was obtained;based on this model,a rapid design program was designed.The results showed that the prediction model can quickly and effectively predict the total pressure recovery coefficient of each measuring point at the downstream measurement section of the distortion generator,and the rapid design program can effectively simplify the use process of this type of distortion generator.

hinge adjustable distortion generatortotal-pressure distortionartificial neural networksteady-state distortion indexwind tunnel test

王铭祖、王志强

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南京航空航天大学能源与动力学院,南京 210016

合页式可调畸变发生器 总压畸变 人工神经网络 稳态畸变指数 风洞实验

2024

航空动力学报
中国航空学会

航空动力学报

CSTPCD北大核心
影响因子:0.59
ISSN:1000-8055
年,卷(期):2024.39(11)