航空发动机燃油计量装置特性仿真与试验研究

燃油计量装置作为航空发动机燃油控制系统的执行机构对航空发动机的性能有直接影响,全面掌握燃油计量装置特性是非常重要的。基于AMESim软件建立了航空发动机燃油计量装置的热液压模型,分析了燃油计量装置特性及受温度影响的规律,并通过试验验证了仿真结果。结果表明:建立的模型具有较高的精度,在控制器指令不变的情况下,随着油温的升高,燃油质量流量会有一定程度减小。     

RTS-20A便携式低温恒温槽

介绍了一种便携式低温恒温槽的工作原理及组成结构，并给出了试验数据。     

高精密小电阻测量方法及测量结果的不确定度评定

在高精密小电阻的测量过程中，由于接触电阻、测量线电阻及测量条件等都会对其测量结果产生不可忽视的影响，因此，选择合适的测量方法对提高测量结果的置信度尤为重要。本文着重介绍了用恒流源和数字电压表间接测量高精密小电阻的具体方法，对其测量结果的不确定度进行了分析与评定。     

微特电机全温度自动补偿原理及参数的确定

设计了全温度自动补偿电路，提高微特电机主要性能指标的温度稳定性．它的工作原理简单；电路参数的确定采用计算机辅助计算方法——具有连续延伸和自动改变初值的加速寻优的单纯形方法，不仅快捷、准确，而且稍加修改也可适用于任何多元非线性方程组的求解     

化学气相反应法在C/C复合材料抗氧化处理中的应用

通过把硅蒸气渗入预制体孔隙与碳直接反应生成SiC的化学气相反应(CVR)方法,提高初始密度和预制体结构均不同的C／C复合材料的抗氧化能力,研究了C／C复合材料的密度变化与微观结构,并对其进行了氧化试验。结果表明,因CVR温度、C／C复合材料初始密度不同,抗氧化处理后的密度增加量有显著不同。针刺炭布C／C／SiC复合材料在马福炉中于1160℃经65min氧化后,其失重率仅2．6％,而密度为1．95g／cm^3的同结构C／C复合材料相在同条件下失重率高达32％。     

SiC/CVD SiC复合涂层的抗氧化及抗热震性能研究

为了提高C/SiC复合材料耐高温性能,采用泥浆浸渍裂解与真空化学气相沉积(CVD)在材料表面制备了SiC/CVD SiC复合涂层,通过XRD、SEM分析了涂层组成与结构;研究了复合涂层的高温抗氧化(700～1 500℃)和抗热震性能。结果表明,泥浆浸渍法制备的SiC涂层具有一定的封孔效果,可使材料开孔率下降,但高温抗氧化效果并不佳,1 200℃氧化10 min后材料弯曲强度保留率下降明显仅有86%。CVD SiC涂层结构致密,与SiC封孔涂层结合较好,在700～1 500℃具有较好的抗氧化效果,随着氧化温度的升高,氧化后涂层完好,表面O元素逐渐增加,材料失重率缓慢增加但不大于0.5%,且材料性能并未下降。涂层材料在1 200℃-10 min短时热震5次后材料弯曲强度保留率仍有95%以上,且未出现开裂、剥落等热震损伤。在1 200℃-30 min长时热震10次后,涂层材料基本被完全氧化,材料失去保护作用,弯曲强度下降至90%左右。     

Validation of non-linear split window algorithm for land surface temperature estimation using Sentinel-3 satellite imagery: Case study; Tehran Province,Iran

In recent years, land surface temperature (LST) has become critical in environmental studies and earth science. Remote sensing technology enables spatiotemporal monitoring of this parameter on large scales. This parameter can be estimated by satellite images with at least one thermal band. Sentinel-3 SLSTR data provide LST products with a spatial resolution of 1 km. In this research, direct and indirect validation procedures were employed to evaluate the Sentinel-3 SLSTR LST products over the study area in different seasons from 2018 to 2019. The validation method was based on the absolute (direct) evaluation of this product with field data and comparison (indirect) evaluation with the MODIS LST product and the estimated LST using the non-linear split-window (NSW) algorithm. Also, two emissivity estimation methods, (1) NDVI thresholding method (NDVI-THM) and (2) classification-based emissivity method (CBEM), were used to estimate the LST using the NSW method according to the two thermal bands of Sentinel-3 images. Then, the accuracy of these methods in estimating LST was evaluated using field data and temporal changes of vegetation, which the NDVI-THM method generated better results. For indirect evaluation between the Sentinel-3 LST product, MODIS LST product, and LST estimated using NSW, four filters based on spatial and temporal separates between pairs of pixels and pixel quality were used to ensure the accuracy and consistency of the compared pairs of a pixel. In general, the accuracy results of the LST products of MODIS and Sentinel-3, and LST estimated using NSW showed a similar trend for LST changes during the seasons. With respect to the two absolute and comparative validations for the Sentinel-3 LST products, summer with the highest values of bias (?1.24 K), standard deviation (StDv = 2.66 K), and RMSE (2.43 K), and winter with the lowest ones (bias of 0.14 K, StDv of 1.13 K, and RMSE of 1.12 K) provided the worst and best results for the seasons in the period of 2018–2019, respectively. According to both absolute and comparative evaluation results, the Sentinel-3 SLSTR LST products provided reliable results for all seasons on a large temporal and spatial scale over our studied area.     

Establishment of atmospheric weighted mean temperature model in the polar regions

Due to the special geographical location and extreme climate environment, the polar regions (Antarctic and Arctic) have an important impact on global climate change. Atmospheric weighted mean temperature (Tm) is a crucial parameter in the retrieval of precipitable water vapor (PWV) from the zenith wet delay (ZWD) of ground-based Global Navigation Satellite System (GNSS) signal propagation. In this paper, the correlation between weighted mean temperature and surface temperature (Ts) is studied firstly. It is shown that the correlation coefficients between Tm and Ts are 0.93 in the Antarctic and 0.94 in the Arctic. The linear regression Tm model and quadratic function Tm model of the Antarctic and the Arctic are established respectively using the radiosonde profiles of 12 stations in the Antarctic and 58 stations in the Arctic from 2008 to 2015. The accuracies of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model which is a state-of-the-art global Tm model are verified using the radiosonde profiles from 2016 to 2018 in the Antarctic and Arctic. Root Mean Square (RMS) errors of the linear regression Tm model, the quadratic function Tm model and GPT2w Tm model in the Antarctic are 3.07 K, 2.87 K and 4.32 K respectively, and those in the Arctic are 3.53 K, 3.38 K and 4.82 K, which indicates that the quadratic function Tm model has a higher accuracy compared to linear regression Tm model, and the accuracies of the two regional Tm models are better than that of GPT2w Tm model in the polar regions. In order to better evaluate the accuracy of Tm in the PWV retrieval, the PWV values of radiosondes are used for comparisons as the reference value. The RMS errors of PWV derived from the two Tm models are similar for 1.28 mm in the Antarctic and 1 mm in the Arctic respectively. In addition, the spatial and temporal variation characteristics of Tm are analyzed in the polar regions by spectral analysis of Tm data using fast Fourier transform. The results show that the Tm has obvious seasonality and annual periodicity in the polar regions, and the maximum difference between warm season and cold season is about 63 K. After comparing and analyzing the influences of latitude, longitude and elevation on the Tm in the polar regions, it is found that latitude and elevation have a greater influence on the Tm than the longitude. As the latitude and elevation increase, the Tm decreases, and vice versa in the polar regions.     

Influence of pre-tension on ballistic impact performance of multi-layer Kevlar 49 woven fabrics for gas turbine engine containment systems

In this paper, ballistic impact tests on wrapped multi-layer Kevlar 49 woven fabric systems were carried out with a flat blade projectile to investigate the impact response during a fan blade out event. The influences of the number of Kevlar layers and pre-tension were discussed particularly. Test results were used to analyze failure modes and energy absorption characteristics of multi-ply Kevlar fabrics. Results show that there are two kinds of impact damage for fabrics: global deformation mainly involving stretching of yarns in the impact region and fabric wrinkle from both sides to the impact zone, and local damage characterized by yarn fracture, yarn pull-out, and yarn unraveling. The energy absorption capability of Kevlar 49 woven fabrics improves with the number of fabric layers. The energy absorbed by multi-layer fabrics increases slightly at the beginning and then decreases substantially with pre-tension. The work in this paper can provide guidance for designing light-weight multi-layer fabrics containment systems.     

驻涡燃烧室前钝体燃料喷射性能数值分析

为研究驻涡燃烧室在前钝体燃料喷射状况下的燃烧性能,采用3维数值仿真模拟方法,对驻涡燃烧室前钝体燃料喷射 状况下的燃烧效率及燃烧室性能与无前钝体燃料喷射状况下的燃烧性能进行了对比分析,并对驻涡燃烧室的冷流以及燃烧状态 下的燃烧室性能进行了系统研究。燃烧室温度分布表明：前钝体顶部燃料喷射在0.2~0.7的喷射系数范围内,缩短了燃烧室火焰 长度,提高了燃烧室在相同轴向长度下的燃烧效率,使燃烧室更加紧凑;驻涡燃烧室前钝体顶部燃料喷射孔的孔径在一定范围内 的变化对燃烧室的燃烧效率、出口温度分布系数以及总压损失影响较小。