南航立式水洞实验技术及应用

本文介绍了南航270mm×270mm立式水洞,对水洞流态显示技术中较为关键的几个问题:如试验模型设计,彩色染色液体配方,灯光与摄影技术等进行了简述,并对其实际应用提供了几个示例,以供参考。     

跃变型介质中原油渗流有限元计算

本文建立跃变型介质中原油渗流的数学模型,可用来描述油层(尤其是低渗透层)超高压注水条件下的不稳定渗流过程及其特征。用Galerkin有限元法进行了数值计算,讨论了介质跃变的影响。     

西安某粘接材料厂室内供暖、热水系统的设计

基于厂方对供热系统的要求,根据供热建筑物、机房和可利用设施的实际情况,采用一台换热器,通过阀门的切换,实现了供暖和供热水的分段运行。将蒸汽发生器的进水与系统补水有机地整合为一个系统,有效地解决了机房面积过小的实际困难。利用自来水的压力和热水箱与浴室的高差解决了热水供应的实际问题。     

微藻反应器用于水气净化与产氧的功能验证

将微藻和电去离子技术引入密闭生态系统,设计单元反应器旨在验证其在空气再生、水净化和潜在食物的生产。在反应器中对尿液进行消解和NH4＋硝化转化得到超过90%NH4＋-N硝化为NO-3-N-的培养液适宜于螺旋藻养殖并获得高质量的微藻生物量;此时,CO2的平均吸收速率VCO2=458.6 mL/m3·min、O2产生速率VO2=616.5 mL/m3·min,即螺旋藻的同化系数VCO2/VO2≈0.74,接近人的呼吸系数VCO2/VO2=0.86;EDI法水净化率97%可直接回用。结果表明：该体系能实现CO2吸收、O2释放和螺旋藻生物量的生产,同时将水净化。     

提升民用飞机水废水系统运营经济性技术研究

基于现代民机绿色环保设计理念和对经济性的追求,减重是飞机设计中重点考虑因素,关于降低民用飞机水废水系统运营载重、提高运营经济性研究,国内外尚未发布公开文献。本文基于对航线用水统计数据研究,形成航线运营所需水量计算技术;基于我国航线飞行时长分布特点,提出基于航线实际运营时间和载客人数为需求、为系统设定分档加水设计技术。结果表明：与同类机型数据对比,本文的水量计算技术是有效的;分档加水设计技术能够有效地降低系统在航线运营过程中的运营重量,可以提升民用飞机水废水系统的运营经济性。     

一种适用于现代飞机火控系统的空-空导弹发射火控计算数学模型

给出的火控计算模型由两部分构成：首先利用机载雷达和其它传感器提供的信息,求解目标速度Vt和进入角Q,然后采用表格函数线性插值与解析修正相结合的方法,来求解导弹发射的最大、最小允许距离。最后给出了仿真结果。该数学模型已经用于某现役歼击机改装的雷达火控系统。     

高压水切割技术

复合材料的机械加工是一个特殊的问题.本文论述了用高压水切割技术对复合材料加工的原理和优点,简要说明了切割设备的组成,给出了主要的理论计算方法,并用实验数据进行了比较.最后指出了该技术的应用领域的扩展及其前景.     

一种新的微细精密航空制造技术—纯水微细电解加工的工艺研究(英文)

为了寻求航空精密微细制造新技术并实现绿色制造和精密微细制造,对一种新型微细电解加工方法——纯水微细电解加工进行了研究。基于水解离机理,在新研制的试验装置上,采用不同的试验条件,进行了一系列工艺试验,探索并揭示了实现纯水微细电解加工的必要工艺条件和工艺规律,加工了圆孔和字母"PW-ECM";还研究了超声振动—纯水电解复合加工新方法,进而在不锈钢薄片上加工出三角、方形盲孔、三角通孔;试验研究结果证明了纯水微细电解加工的可行性。     

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.     

Validation on MERSI/FY-3A precipitable water vapor product

The precipitable water vapor is one of the most active gases in the atmosphere which strongly affects the climate. China's second-generation polar orbit meteorological satellite FY-3A equipped with a Medium Resolution Spectral Imager (MERSI) is able to detect atmospheric water vapor. In this paper, water vapor data from AERONET, radiosonde and MODIS were used to validate the accuracy of the MERSI water vapor product in the different seasons and climatic regions of East Asia. The results show that the values of MERSI water vapor product are relatively lower than that of the other instruments and its accuracy is generally lower. The mean bias (MB) was ?0.8 to ?12.7?mm, the root mean square error (RMSE) was 2.2–17.0?mm, and the mean absolute percentage error (MAPE) varied from 31.8% to 44.1%. On the spatial variation, the accuracy of MERSI water vapor product in a descending order was from North China, West China, Japan -Korea, East China, to South China, while the seasonal variation of accuracy was the best for winter, followed by spring, then in autumn and the lowest in summer. It was found that the errors of MERSI water vapor product was mainly due to the low accuracy of radiation calibration of the MERSI absorption channel, along with the inaccurate look-up table of apparent reflectance and water vapor within the water vapor retrieved algorithm. In addition, the surface reflectance, the mixed pixels of image cloud, the humidity and temperature of atmospheric vertical profile and the haze were also found to have affected the accuracy of MERSI water vapor product.