吹吸扰动控制猝发过程中雷诺应力的实验

采用热线测速技术和双丝边界层热线探针,在风洞中以高于对应最小湍流时间尺度的分辨率,精细测量了平板湍流边界层施加不同频率周期性质量引射前后,不同流向和法向位置的瞬时流向、法向和展向速度分量的时间序列信号.采用流向脉动速度局部平均结构函数模极大值法检测了壁湍流猝发过程中拟序结构不同速度分量和雷诺应力分量的条件相位平均波形.发现在扰动源下游一定范围内,摩擦因数和雷诺应力幅值有所减小,扰动改变了法向或展向脉动速度与流向脉动速度的条件相位平均波形的相位差,使其保持在π/2的奇数倍左右,此时雷诺应力几乎为0,改变了湍流边界层原有雷诺应力的产生和扩散输运机制,抑制了湍流雷诺应力的产生和输运.      

整机条件下涡扇发动机部件特征参数辨识

为解决整机条件下难于直接获得部件全部特征参数的问题,在计算发动机部件特征参数对整机性能敏感度的基础上,利用条件数分析参数之间的相关性最终确定可修正参数数量.这样即可构造工程上可解的辨识问题,并通过最小二乘法求解.仿真计算结果显示:高压压气机效率为0.982与初设值0.98一致,说明该方法从理论上是可行的.从具体实例的辨识结果来看,有压气机后温度测试时部件效率降低量值符合实际结果;无压气机后温度测试时高压压气机效率较设计状态偏高12.7%,不符合实际发动机工作情况.显然辨识问题是病态的,为此可修正参数不应超过6个.      

GNSS服务空域空间信号可用性比较与分析

通过基本参数对全球卫星导航系统（GPS、GLONASS、Galileo和北斗）空间信号可用性影响实验,得出四系统的A knee 值分别为3800km、1100km、3800km和1000km,对应的平均可见卫星数为25、16、22和14/22（亚太地区、MEO星座/混合星座）。分析了三种典型轨道用户的卫星可见性,北斗和GLONASS对MEO和HEO用户的空间信号可用性能较GPS和Galileo稍差,而在LEO用户的应用中,北斗空间信号可用性能却表现最优,平均可见卫星数约为20颗,可用性时间分布比较均匀。最后对GNSS空间有效持续时间段进行统计,随着用户高度的增加,有效持续时间段数增多、总有效持续时间减少;四系统提供全弧段有效服务空间分别为地面至6100km、1600km、6100km和1700km。     

低雷诺数涡轮叶片边界层转捩及分离特性测量

低雷诺数工作条件下涡轮流场特征及其控制设计,是航空发动机低压涡轮部件设计的难点和重点。针对低雷诺数涡轮叶栅流场开展了实验研究工作,利用油流显示、表面静压、边界层压力探针等测量手段研究了涡轮叶片边界层的分离和转捩。结果表明雷诺数降低导致了流动损失的增大,且存在一个临界雷诺数。当雷诺数小于临界雷诺数时,发生在吸力面的流动分离是开式的层流分离泡,不会再附与叶片;当雷诺数大于临界雷诺数时,分离流会在尾缘前重新附着于叶片吸力面,形成闭式分离泡。随着雷诺数的减小,出口尾迹变宽,出口流动损失、出口速度亏损和出口气流角偏离增大,尾迹中心向吸力面方向移动。     

Effect of U-grooves on high-lift low pressure turbine profile＇s incidence characteristics

以某高负荷低压涡轮叶型为研究对象,分析了该叶型在低雷诺数下的攻角特性,并应用了表面嵌壁式U形槽的被动控制方法来提高该叶型的攻角裕度.数值模拟的结果表明：相比较大的正攻角流动状况,叶型较大的负攻角并不会引起吸力面大的流动分离,从而减小了叶型损失;表面嵌壁式U型槽通过推迟分离、加速再附来减小分离泡甚至减小湍流湿面积,从而降低叶型损失;表面嵌壁式U型槽能否提高该叶型的攻角裕度与开槽位置和深度有关系,在±15°攻角范围内72%轴向弦长位置处开槽明显的降低了叶型损失而开槽深度为0.40mm时叶型损失最小.     

涡轮叶冠间隙流动特性实验

针对叶冠腔内有冷却气流的转子叶片叶冠,通过改变主流雷诺数、前后孔岀流比、叶尖间隙等参数得到静止状态下叶冠间隙流动的总压损失系数.实验结果表明:增大主流雷诺数与前孔岀流比,叶冠总压损失系数增大;减小叶尖间隙,总压损失系数也增大,小叶尖间隙下,总压损失系数随主流雷诺数与前孔岀流比增长更快,而后孔岀流比对叶冠总压损失系数影响不大.      

湍流模型对喷流计算精度的影响研究(英文)

采用三维RANS代码MBNS3D对包含了内流、外流及后体干扰的三种简化尾喷流,进行了数值模拟研究。通过壁面压力分布及喷流截面速度型与实验数据的对比,研究了SA和SST两种湍流模型及其修正(SACC,SADES,SSTCC)对喷流计算精度的影响。本文计算表明,SSTCC模拟效果最为精确;利用SA模型进行脱体涡模拟,在同样的网格下优势不明显。湍流模型可压缩修正改善了模拟喷流的膨胀趋势,但对附面层分离位置的预测,在本文的工作中,还不如原始模型。两类模型相比,SST模型的结果好于SA模型。     

Environmental stress level evaluation approach based on physical model and interval grey association degree

 Associating environmental stresses (ESs) with built-in test (BIT) output is an important means to help diagnose intermittent faults (IFs). Aiming at low efficiency in association of traditional time stress measurement device (TSMD), an association model is built. Thereafter, a novel approach is given to evaluate the integrated environmental stress (IES) level. Firstly, the selection principle and approach of main environmental stresses (MESs) and key characteristic parameters (KCPs) are presented based on fault mode, mechanism, and ESs analysis (FMMEA). Secondly, reference stress events (RSEs) are constructed by dividing IES into three stress levels according to its impact on faults; and then the association model between integrated environmental stress event (IESE) and BIT output is built. Thirdly, an interval grey association approach to evaluate IES level is proposed due to the interval number of IES value. Consequently, the association output can be obtained as well. Finally, a case study is presented to demonstrate the proposed approach. Results show the proposed model and approach are effective and feasible. This approach can be used to guide ESs measure, record, and association. It is well suited for on-line assistant diagnosis of faults, especially IFs.     

Numerical study of forced convective heat transfer around a spherical aerostat

Forced convective heat transfer is one of the major factors that dominate the thermal behaviors of aerostats. Due to the large physical size, the convection around an aerostat has high Reynolds numbers. The existing forced convective heat transfer correlations are limited to the Reynolds number lower than 10⁵, which are not appropriate for aerostat applications. Therefore, it is necessary to obtain a convective heat transfer correlation applicable to spherical aerostats at high Reynolds numbers. In this paper, steady convective heat transfer from an isothermal spherical aerostat is numerically investigated. The numerical simulation is carried out by commercial computational fluid dynamic software with the Reynolds number from 20 to 10⁸. The average Nusselt numbers are obtained and compared with those of available in literature. Based on regression and optimization with software, a new piecewise correlation of Nusselt number is proposed. The verification shows that the new correlation is reliable.     

一种未知信源数的快速DOA估计算法

文章针对众多性能优良的超分辨DOA（Direction—Of-Arrival）估计算法大都是以预知信源数为前提、信源数估计不准可能会导致DOA估计失败这一问题,提出了一种基于协方差矩阵对角加载的超分辨DOA估计算法。该算法不需要预判信源个数和进行特征值分解,且通过对协方差矩阵进行对角加载,可以平滑小快拍数时噪声特征值分散程度,因此,该算法更适用于快拍数较少的情况。理论分析表明：该算法的统计估计性能接近于MUSIC（Multiple Signal Classification）算法。计算机仿真结果验证了该算法的鲁棒性和可行性。