径向非均匀进气喷湿对跨声速压气机气动性能影响研究

针对湿压缩技术的应用，为了深入认识径向非均匀进气喷湿对压气机气动性能的影响，以某跨声速压气机级为研究对象，采用CFD技术结合欧拉-拉格朗日法对径向非均匀进气喷湿条件下压气机气液两相流场进行数值模拟，对比研究了叶顶、叶中和叶根局部喷湿三种不同径向位置喷湿条件对压气机气动性能及失稳边界的影响规律，并通过喷湿前后流动径向匹配规律及流动结构的变化解释了影响机理。结果表明：叶顶喷湿相比叶中和叶跟喷湿是更好的喷湿方案，叶顶喷湿时压气机压比和效率升高程度更大，且稳定裕度降低程度更低；当液滴粒径小于50μm，喷射速度大于20m/s时，离心力对液滴径向迁移的影响可以忽略不计，液滴在经过压气机级流道过程中几乎不发生径向迁移，蒸发冷却效应只发生于喷湿的局部叶高范围；由于径向非均匀进气喷湿时压气机内部质量流量会向喷湿的局部叶高范围聚集，导致喷湿的主要影响——即轴向速度的降低和轮缘功的升高在喷湿的局部范围程度较弱，而在没有喷湿的局部叶高范围程度较强。     

叶顶间隙偏差对叶片气动性能影响的不确定性研究

在压气机叶片加工过程中，实际加工得到的叶片外形与设计叶型不可避免会存在一些偏差。为研究叶片叶顶间隙尺寸波动对性能的影响，以Rotor37为研究对象，采用三维定常数值模拟方法，基于非嵌入式混沌多项式中二维正态分布变量产生方法，分别对叶片前缘叶顶间隙和尾缘叶顶间隙进行尺寸波动干扰，研究了叶顶间隙不确定性对气动性能和流场的不确定性影响，评估了公差带内叶顶间隙偏差与气动性能变化的相关性，并探究了叶顶间隙变化对叶片稳定裕度的影响机理。研究发现，叶顶间隙偏差对等背压条件下叶片质量流量、等熵效率和总压比的平均水平几乎不会造成影响；叶顶间隙偏差所造成的气动性能分布标准差随工况点向不稳定边界的逼近而逐渐增大。同时，叶顶间隙不确定性会导致样本稳定裕度均值有所降低，不确定性分析中稳定裕度均值相对原型叶片下降了2.42%。流场结构方面，叶顶间隙偏差主要影响80%叶高以上部分流场；叶顶间隙偏差对叶顶区域泄漏流产生的影响，导致了叶片稳定裕度的变化。     

后桨桨距角对某共轴对转螺旋桨性能影响规律研究

共轴对转螺旋桨的桨距角对前后排桨的桨间气动干扰有重要影响,能够改变螺旋桨的气动性能。为了研究后桨桨距角对共轴对转螺旋桨的气动干扰影响,改善螺旋桨的气动性能,在来流马赫数0.453 的情况下,通过调节后桨桨距角的方式对6×6 构型的共轴对转螺旋桨进行数值计算,数值计算中使用非定常雷诺平均纳维—斯托克斯（URANS）方程结合SST 湍流模型的方法,并采用T-Rex 高质量网格生成技术研究桨距角对共轴对转螺旋桨桨间气动干扰的变化规律。结果表明：后桨在前排桨产生的预旋气流作用下,能够吸收一部分前桨的切向滑流能量,且气动效率高于前桨,前后桨的气动参数在一个旋转周期内出现12 次周期性波动;共轴对转桨的前后桨转速相同时,前桨桨距角不变,减小后桨桨距角,前后桨的气动效率都会增加,后桨效率提升明显。     

Transfer learning: A new aerodynamic force identification network based on adaptive EMD and soft thresholding in hypersonic wind tunnel

The aerodynamic test in the pulse combustion wind tunnel is very important for the design, evaluation and optimization of aerodynamic characteristics of the hypersonic aircraft. The test accuracy even affects the success or failure of hypersonic aircraft development. In the aerodynamic test of pulse combustion wind tunnel, the aerodynamic signal is disturbed by the inertial force signal, which seriously affects the test accuracy of aerodynamic force. Aiming at the above problems, this paper innovatively proposes an aerodynamic intelligent identification method, that is the transfer learning network based on adaptive Empirical Modal Decomposition (EMD) and Soft Thresholding (TLN-AE&ST). Compared with the existing aerodynamic intelligent identification model based on deep learning technology, this study introduces the transfer learning idea into the aerodynamic intelligent identification model for the first time. The TLN-AE&ST effectively alleviates the problem of scarcity of training samples for intelligent models due to the high cost of wind tunnel tests, and provides a new idea for further implementation of deep learning technology in the field of wind tunnel aerodynamic testing. And this study designed residual attention block with soft threshold and dense block with adaptive EMD in TLN-AE&ST model. Residual attention block with soft threshold module can more effectively suppress the influence of instrument noise signal on model training effect. Dense block with adaptive EMD makes the deep learning model no longer a black box to a certain extent, and has certain physical significance. Finally, a series of wind tunnel tests were carried out in the Φ = 2.4 m pulse combustion wind tunnel of China Aerodynamic Research and Development Center to verify the effectiveness of TLN-AE&ST.     

Adaptive data fusion framework for modeling of non-uniform aerodynamic data

Multi-fidelity Data Fusion(MDF) frameworks have emerged as a prominent approach to producing economical but accurate surrogate models for aerodynamic data modeling by integrating data with different fidelity levels. However, most existing MDF frameworks assume a uniform data structure between sampling data sources; thus, producing an accurate solution at the required level, for cases of non-uniform data structures is challenging. To address this challenge, an Adaptive Multi-fidelity Data Fusion(...     

Downwash modelling for three-lifting-surface aircraft configuration design

This paper introduces a semi-empirical model to predict the downwash gradient at the horizontal tail of a three-lifting-surface aircraft. The superposition principle applied to well established formulations valid for two lifting surfaces is not a reasonable approach to calculate the downwash of a canard-wing-tail layout, and this paper demonstrates that such a basic technique leads to incorrect results. Therefore, an ad hoc prediction model is proposed that considers the combined nonlinear effec...     

某型联翼布局无人机的气动计算与分析

与常规布局飞机相比,联翼布局飞机具有结构重量轻、抗弯扭强度大、诱导阻力低、升力系数大和稳定性好等优点。介绍一种高效的数值模拟方法,完成对某型联翼布局无人机气动特性的初步计算与分析。基于商业软件ANSYS,整个研究过程着重于从网格建模、全机流场模拟、气动模拟数据分析三个方面,探索该型无人机纵向、横向和航向的气动特性以及主操纵面的操纵效率,实现对该型无人机稳定性和操纵性能的表征与评估。结果表明:无人机升降舵偏角的变化不影响无人机的握杆静稳定度,并且在0°~25°的升降舵偏角(下偏)范围内,升降舵偏角与升降舵的升力系数基本呈线性变化;在-4°~12°的迎角范围内,随着迎角的不断增大,该型无人机的横向静稳定性水平越大;两个垂直翼和垂尾是产生航向静稳定性的主要部件。     

Uncertainty analysis of measured geometric variations in turbine blades and impact on aerodynamic performance

Inevitable geometric variations significantly affect the performance of turbines or even that of entire engines; thus, it is necessary to determine their actual characteristics and accurately estimate their impact on performance. In this study, based on 1781 measured profiles of a typical turbine blade, the statistical characteristics of the geometric variations and the uncertainty impact are analyzed, and some commonly used uncertainty modelling methods based on PrincipalComponent Analysis(PCA)...     

低反力度跨声速转子的叶顶喷气扩稳数值研究

为进一步提高低反力度压气机的稳定工作范围，以某三级低反力度高负荷压气机首级跨声速转子为研究对象，借助三维数值模拟方法，进行了叶顶喷气扩稳研究，分析讨论了叶顶喷气提升低反力度压气机转子稳定性的机理，并探讨了不同喷气轴向位置对扩稳效果及气动性能的影响。结果表明：叶顶喷气通过削弱叶顶泄漏涡和通道激波的相互作用，抑制了转子近失速工况下泄漏涡的破碎，消除了叶顶通道的大面积堵塞，拓宽了转子的稳定工作边界；随着喷嘴的位置从叶顶前缘处沿轴向上游移动，转子的失速裕度提升量呈现出先增大后减小的趋势，综合扩稳效果和对压气机总性能参数的影响，最佳喷气轴向位置为叶顶前缘上游转子5%叶顶轴向弦长处；叶顶喷气改变了转子气动参数的径向分布，降低了转子上15%叶高范围内的负荷，同时也使得其它叶高区域的负荷提升。