扇形与平面叶栅内高负荷叶片的换热特性实验研究

为了探究扇形与平面叶栅条件下,高负荷叶片的外换热特性,采用瞬态液晶测量技术,测量了雷诺数(Re)、湍流强度(Tu)对扇形叶栅(曲端壁)的小展弦比高负荷涡轮叶片表面努塞尔数(Nu)的影响,并与平面叶栅(直端壁)进行了对比。结果表明,曲端壁相较于直端壁增加了21.5°的径向进气角以及上下端壁曲率不同,从而导致换热沿叶高的不对称分布。雷诺数增大,叶片各位置的换热明显增强,吸力面边界层转捩点位置不断向前缘靠近,雷诺数对直端壁的影响大于曲端壁。随湍流强度增大,努塞尔数整体有所升高,吸力面转捩点位置前移,压力面过渡现象明显增强,中弦部分努塞尔数一维特性更为明显,湍流强度对两类端壁的叶片影响类似。在研究低雷诺数或湍流强度对高负荷叶片的换热影响时,可采用直端壁进行简化,而在高雷诺数时,为了保证结果准确性,需在发动机实际扇形叶栅中进行实验。     

中心分级燃烧室头部冷态流场特性实验研究

为了深入研究中心分级燃烧室的流场特性,采用PIV方法对其头部冷态流场开展了实验研究,重点分析了中心分级燃烧室头部流场的结构特征以及主燃级旋流数对头部流场的影响。实验结果表明：中心分级燃烧室头部典型流场结构形成一个较大的中心主回流区、较小的端部回流区及角回流区,主、预燃级气流的相互耦合过程分为独立射流、气流掺混和气流合并三个阶段。主燃级旋流数对头部流场结构影响较大,随主燃级旋流数增大,主、预燃级气流耦合作用减弱,回流区分布形态发生较大变化,新的流场结构特征为中心主回流区范围明显收缩,端部回流区向下游延伸,在主、预燃级之间剪切层形成较长回流区。针对该中心分级燃烧室头部,主、预燃级气流由耦合流动变为解耦流动的临界主燃级旋流数为0.8~1.0。     

旋流数对小限制率旋流喷雾及火焰特性的影响

分布式贫油直喷（Distributed Lean Direct Injection,DLDI）燃烧室是国外多点贫油直喷（MLDI）燃烧室的实用发展形式。本文对DLDI燃烧室的主燃级单元LDI开展研究,主要关注外旋流器旋流数（Sn）从0.65降低到0.33对流场、喷雾和火焰结构的影响。利用FLUENT软件、采用雷诺平均方程（RANS）对时均流场进行求解;利用离散相模型（Discrete Phase Model）对喷雾散布进行模拟;利用Mie散射和激光粒度测量仪对喷雾散布和SMD（Sauter Mean Diameter）进行测量,并对仿真结果进行验证;利用高速摄像机拍摄火焰结构。研究结果显示Sn变化直接改变流场结构：随着Sn的减小,外旋流射流对内旋流射流的压制逐渐变强,内旋流射流的张角和中心回流区尺寸都逐渐缩小;尤其在Sn为0.33时,角涡回流区演化成壁面回流区。流场变化影响液雾散布：Sn在0.38~0.65区间时,喷雾核心主要由内旋流射流输运,喷雾张角由内旋流射特性决定;当Sn为0.33时,喷雾核心会在自身惯性下射入外旋流射流,在外旋流射流以及壁面回流区的作用下均匀散布。喷雾散布结果表明喷雾核心射入外旋流射流时更有利于液雾的散布。火焰结构的研究结果显示在小限制率条件下,Sn为0.33时,中心回流区回流量不足、无法稳定火焰,此时形成的壁面回流区创造了新的稳火点来帮助稳定火焰。     

振动温度的激波管测定

根据双原子分光带系及其强度理论,介绍了测定振动温度的原理及方法。同时,利用激波加热试验气体的方法,得到氧化铝分子绿带系(B~2∑~+-X~2∑~+)的全部光带。通过氧化铝分子绿带系光带强度的测定,得到在激波马赫数为10时,反射激波后气体的振动温度约为5200K。     

太阳电池阵深空探测适应性设计概论

随着近年来月球探测的推进,深空探测的论证,针对深空探测对太阳电池阵低温度、低光强、强辐射等环境的技术需求,以火星探测和木星探测太阳电池阵设计分析为例,通过任务环境特点分析,给出了特殊服役环境下太阳电池选型方法,方阵设计与验证建议,对国内深空探测太阳电池阵设计具有一定参考意义。     

Delineation of possible influence of solar variability and galactic cosmic rays on terrestrial climate parameters

The present paper has investigated the associations of solar activity (SA), represented by total solar irradiance (TSI), galactic cosmic rays (GCR) and terrestrial climate parameters in particular the global cloudiness and global surface temperature. To that end, we have analysed thirty five years (1983–2018) data of these parameters and have applied the Granger-causality test in order to assess whether there is any potential predictability power of one indicator to the other. The correlations among the involved parameters are tested using Vector Auto Regression (VAR) model and variance decomposition method. As a result of the above analysis, we have found that the TSI is an important factor and has contributed about 8.77 ± 0.42% in the cosmic ray intensity variations. In case of cloud cover variations, the other three parameters (TSI, cosmic ray and global surface temperature) have played a significant role. Further, the TSI changes have contributed 1.68 ± 0.03% fluctuations in the variance of the cloud cover while the cosmic ray intensity and global surface temperature have contributed about 4.89 ± 0.08% and 10.87 ± 1.41% respectively. In case of the global surface temperature anomaly both TSI and cloud covers have contributed about 5.07 ± 0.47% and 14.42 ± 2.13% fluctuations respectively. Additionally, we have also assessed the impact of internal climate oscillations like multivariate ENSO index (MEI), north Atlantic oscillations (NAO) and quasi biennial oscillations (QBO) on cloud cover variations. The contribution of these internal oscillations e.g. ENSO, NAO and QBO in cloud cover variation were reported as 7.48 ± 1.02%, 5.51 ± 0.16% and 1.36 ± 0.43% respectively.     

Two new multi-phase reliability growth models from the perspective of time between failures and their applications

Aviation products would go through a multi-phase improvement in reliability performance during the research and development process. In the literature, most of the existing reliability growth models assume a constant failure intensity in each test phase, which inevitably limits the scope of the application. To address this problem, we propose two new models considering time-varying failure intensity in each stage. The proposed models borrow the idea from the accelerated failure-time models. It is assumed that time between failures follow the log-location-scale distribution and the scale parameters in each phase do not change, which forms the basis for integrating the data from all test stages. For the test-find-test scenario, an improvement factor is introduced to construct the relationship between two successive location parameters. Whereas for the test-fix-test scenario, the instantaneous cumulative time between failures is assumed to be consistent with Duane model and derive the formulation of location parameter. Likelihood ratio test is further utilized to test whether the assumption of constant failure intensity in each phase is suitable. Several applications with real reliability growth data show that the assumptions are reasonable and the proposed models outperform the existing models.     

A unifying approach in simulating the shot peening process using a 3D random representative volume finite element model

Using a modified 3D random representative volume (RV) finite element model,the effects of model dimensions (impact region and interval between impact and representative regions),model shapes (rectangular,square,and circular),and peening-induced thermal softening on resultant critical quantities (residual stress,Almen intensity,coverage,and arc height) after shot peening are systematically examined.A new quantity,i.e.,the interval between impact and representative regions,is introduced and its optimal value is first determined to eliminate any boundary effect on shot peening results.Then,model dimensions are respectively assessed for all model shapes to reflect the actual shot peening process,based on which shape-independent critical shot peening quantities are obtained.Further,it is found that thermal softening of the target material due to shot peening leads to variances of the surface residual stress and arc height,demonstrating the necessity of considering the thermal effect in a constitutive material model of shot peeing.Our study clarifies some of the finite element modeling aspects and lays the ground for accurate modeling of the SP process.     

基于中值滤波和参考点的风洞压敏涂料试验图像处理技术

提出了一种结合图像中值滤波和试件参考点的风洞压敏涂料（PSP）试验图像数据处理方法。与通常用校准箱获取校准曲线进而得到PSP试验试件表面压力或压力系数（Cp）的方法不同，该方法通过空心中值滤波技术恢复PSP光强比图像中测压孔处的光强比数据，结合若干参考点处常规测压技术实测所得Cp值，获得Cp值和PSP图像光强比数据的关系曲线，进而得到整个试件表面的Cp值数据，该方法获得的数据结合了风洞试验诸多因素对试验结果的影响。利用MATLAB对PSP技术试验图像数据进行了处理，并将PSP方法获得的Cp值与常规测压方法获得的Cp值进行了比较，得到的结果显示，笔者采用的方法获得的Cp值与常规测压方法获得的Cp值吻合较好。该方法为PSP图像数据的处理提供了一种新的方法，具有较大的发展潜力和应用价值。     

Selection of candidate salad vegetables for controlled ecological life support system

Higher plants, as one of the essential biological components of CELSS, can supply food, oxygen and water for human crews during future long-duration space missions and Lunar/Mars habitats. In order to select suitable leaf vegetable varieties for our CELSS Experimental Facility (CEF), five varieties of lettuce (“Nenlvnaiyou”, “Dasusheng”, “Naichoutai”, “Dongfangkaixuan” and “Siji”), two of spinach (“Daye” and “Quanneng”), one of rape (“Jingyou No. 1”) and one of common sowthistle were grown and compared on the basis of edible biomass, and nutrient content. In addition, two series of experiments were conducted to study single leaf photosynthetic rates and transpiration rates at 30 days after planting, one which used various concentrations of CO₂ (500, 1000, 1500 and 2000 μmol mol⁻¹) and another which used various light intensities (100, 300, 500 and 700 μmol m⁻² s⁻¹). Results showed that lettuce cvs. “Nenlvnaiyou”, “Siji” and “Dasusheng” produced higher yields of edible biomass; common sowthisle would be a good source of β-carotene for the diet. Based on the collective findings, we selected three varieties of lettuce (“Nenlvnaiyou”, “Dasusheng” and “Siji”) and one of common sowthistle as the candidate crops for further research in our CEF. In addition, elevated CO₂ concentration increased the rates of photosynthesis and transpiration, and elevated light intensity increased the rate of photosynthesis for these varieties. These results can be useful for determining optimal conditions for controlling CO₂ and water fluxes between the crops and the overall CELSS.