基于EEMD-Hilbert谱的涡街流量计尾迹振荡特性

为了研究涡街流量计尾迹振荡特征,采用集总经验模态分解(EEMD)-Hilbert谱方法,对测量介质为空气、流量范围为10.58~220 m~3/h的涡街流量计管壁差压信号进行处理,首先用EEMD方法对管壁差压信号进行分解,得到固有模态分量,然后对分解后的各个分量进行Hilbert变换,得到Hilbert谱和边际谱,进而提取管壁差压信号的旋涡脱落频率。比较了Fourier变换与EEMD-Hilbert谱方法在信号去噪和频率提取方面的性能。结果表明:EEMD-Hilbert谱方法可有效去除叠加在实际涡街成分之中的噪声,能够较完整保留尾迹振荡的固有成分;在流量较低时,EEMD-Hilbert谱方法对尾迹振荡频率的提取精度比Fourier变换高30%以上,有效拓展了涡街流量计的测量下限;通过计算能量比,揭示了EEMD-Hilbert谱方法提高频率提取精度的原因,即EEMD-Hilbert谱方法降低了信噪比;Hilbert谱直观表示信号的时间-频率-能量关系。     

基于欧拉方程的尾迹面法气动力计算

在飞行器气动设计中,气动力的分析与计算很重要。介绍了一种基于欧拉方程新的气动力计算方法。详细说明了该方法的基本原理,并用不同机翼在不同扰流情况下的气动力计算实例对该方法作了讨论与分析。数值模拟的结果表明该方法在飞行器的气动设计中是现实可行的,具有很强的工程应用价值。     

利用分数低阶空时矩阵进行冲击噪声环境下的DOA估计

研究冲击噪声环境下的信号DOA估计问题。在对称α稳定(SαS: Symmetric α-stable)分布冲击噪声假设下,定义了一个阵列接收数据的广义分数低阶空时矩阵。理论分析表明,对广义分数低阶空时矩阵进行奇异值分解可获得噪声子空间估计。与信号空间DOA估计技术相结合,提出一种新的基于信号空间分解的DOA估计算法。该算法在低信噪比下对强冲击噪声具有更好的抑制作用。计算机仿真证明了算法的有效性。     

涡轮叶片蠕变损伤行为及固溶处理对叶片材料性能的影响

涡轮叶片是航空发动机及地面燃气轮机的重要热端部件,研究其损伤行为对涡轮叶片的制造及修复工作均有重要的意义。本文研究了长时与短时服役涡轮叶片的蠕变损伤行为,发现二者在蠕变空洞的形成机理上大致相同,而γ′相与碳化物的退化反应则有所差异,长时服役涡轮叶片的γ′相形貌更加粗大且不规则。对于碳化物,长时服役叶片的碳化物发生了由一次MC型向二次M23C6型的分解,而短时服役叶片的碳化物发生了由MC(1)型向MC(2)型的转化。此外,针对两种不同的叶片材料(K002和GTD-111高温合金),研究了不同的固溶处理制度对γ′相溶解行为的影响,发现提高固溶温度和增加固溶保温时间可以促进两种材料γ′相的溶解行为;而随着固溶时间的增加,两种材料的溶解激活能均逐渐增大,K002合金在不同固溶保温时间中的溶解激活能均大于GTD-111合金。     

基于EEMD气液两相流差压信号时频分析

为研究气液两相流流动过程的动态特性,采用V形内锥作为测量装置,通过高频差压变送器获得不同流型下的动态信号,提出了一种基于总体平均经验模式分解（EEMD）的气液两相流时频分析方法。通过对不同流型下的气液两相流的差压信号进行分析,研究了气液两相流的流动机理,为气液两相流流型及流量的准确测量奠定理论基础。分析发现EEMD的抗混分解能力很好,可以准确地提取两相流差压信号的频率成分及其时变情况,为今后两相流的识别提供理论基础,具有较高的工程应用价值。     

辛算法的纠飘研究

辛算法较RK(Runge-Kutta)方法,保持辛结构不变或保持哈密顿系统规律性不变是突出的优点,但点态数值精度并不理想.推导出了三阶、四阶辛算法的漂移量计算公式,通过补偿漂移量就能提高点态数值精度,既保辛结构又保证点态数值高精度,适合于工程应用.建立了分数步对称辛算法(即FSJS算法)的纠漂公式,制定了漂移的约束标准.相关算例的数值结果表明:三阶FSJS算法漂移量最小,点态数值精度更高.     

基于遗传算法与DSM的产品结构分解聚类方法

产品结构的分解聚类在产品开发中有着重要的地位,在用设计结构矩阵(D es ign structure m atrix,DSM)对产品结构进行建模的基础上,通过遗传算法实现了产品结构分解聚类的智能化和分解聚类结果的最优化。在算法的设计过程中开发了一种对DSM进行二维编码的方法,并给出了在二维编码基础上的多点杂交和基本变异方法。在构造适应度函数时,综合考虑了DSM模型中各元素之间的联系、聚类的数目以及各聚类中元素的数目。最后以某摩托车发动机为例,用该算法实现了产品结构DSM模型的智能化分解聚类,验证了该算法的可行性。     

Flame features and oscillation characteristics in near-blowout swirl-stabilized flames using high-speed OH-PLIF and mode decomposition methods

Flame features and dynamics are important to the explanation and prediction of a lean blowout (LBO) phenomenon. In this paper, recognition of near-LBO flame features and oscillation characterization methods were proposed based on flame spectroscopic images. High-speed planar laser-induced fluorescence measurements of OH were used to capture unique dynamic features such as the local extinction and reignition feature and entrained reactant pockets. The Zernike moment demonstrated a good performance in recognition of stability and near-LBO conditions, though the geometric moment had more advantages to characterize frequency characteristics. Low-frequency oscillations, especially at the obvious self-excited oscillation frequency around 200 Hz, were found when approaching an LBO condition, which can be expected to be used as a novel prediction characteristic parameter of the flameout limit. Proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) were used to conduct dynamic analysis of near-LBO flames. POD modes spectra showed the unique frequency characteristics of stable and near-LBO flames, which were basically in line with those at the heat-release frequency. The primary POD modes demonstrated that the radial vibration mode dominated in a stable flame, while the rotation mode was found to exist in a near-LBO flame. Analysis of modal decomposition showed that flame shedding and agminated entrained reactant pockets were responsible for generating self-excited flame oscillations.     

A novel temperature-compensation method based on correlation analysis for multi-FOG INS

Aimed at improving the bias stability of Fiber-Optic Gyroscope (FOG)-based inertial navigation systems in environments of various ambient temperatures, a novel temperature-compensation method based on a correlation analysis of the same batch of FOGs is proposed. The empirical mode decomposition method was employed to filter the high-frequency noises of the FOGs. Then, the correlation information of the multiple FOGs was used to analyze the feasibility of the method. Eventually, the same residual error of the FOGs was compensated via the simple piecewise linear models. The experimental results indicate that excellent compensation effects for both high- and low-accuracy FOGs are achieved using the proposed method. Specifically, the accuracies of high-accuracy FOGs are improved by approximately 33.9%, 20%, and 31.2%, while those of low-accuracy FOGs are improved by approximately 39.1%, 20.8%, and 26.1%. The method exhibits the merits of simplicity, validity, and stability, and thus is expected to be widely used in engineering applications.     

Effects of temperature on drag reduction in a subsonic turbulent boundary layer via micro-blowing array

A comparative study of two micro-blowing temperature cases has been performed to investigate the characteristics of drag reduction in a subsonic flat-plate flow (where the freestream Mach number is 0.7) by means of Direct Numerical Simulation (DNS). With minute amount of blowing gas injected from a 32 × 32 array of micro-holes arranged in a staggered pattern, the porosity of micro-holes is 23% and the blowing coefficient is 0.125%. The simulation results show that a drag reduction is achieved by micro-blowing, and a lower wall-friction drag can be obtained at a higher blowing temperature. The role of micro-blowing is to redistribute the total kinetic energy in the boundary layer, and the proportion of stream-wise kinetic energy decreases, resulting in the thickened boundary layer. Increasing micro-blowing temperature can accelerate this process and obtain an enhanced drag reduction. Moreover, an explanation of drag reduction by micro-blowing related to the micro-jet vortex clusters is proposed that these micro-jet vortex clusters firmly attached to the wall constitute a stable barrier, which is to prevent the direct contact between the stream-wise vortex and the wall. By Dynamic Mode Decomposition (DMD) from temporal/spatial aspects, it is revealed that small structures in the near-wall region play vital role in the change of turbulent scales. The high-frequency patterns are clearly strengthened, and the low-frequency patterns just maintain but are lifted up.