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.     

高效湿法缠绕用环氧树脂配方及其复合材料性能

针对高质固体火箭发动机壳体高效的生产要求对不同官能度环氧树脂复配体系的工艺性进行研究,重点开展了多官能团环氧树脂复配体系配方设计及力学性能研究,分别采用DSC(差示扫描分析)、黏度测试进行固化特征温度、固化反应动力学及工艺适用期研究,并最终制备单向层合板及NOL(the Naval Ordnance Laboratory)环进行复合材料性能的测试分析。研究结果表明:三官能度复配的环氧树脂能满足高效湿法缠绕要求。当三官能度的TDE-85质量分数为25%时,综合性能达到最优,适用期仅为120 min,拉伸强度为973 MPa,弯曲强度为115 MPa,玻璃化转变温度高达466 K,较最低值分别提高363%、159%、258%。该树脂体系与纤维匹配性好,复合材料性能优良,NOL环拉伸强度与层间剪切强度分别为256 GPa、744 MPa,纤维强度利用率达766%,适用于固体火箭发动机湿法缠绕成形。     

基于大数据的航空数据采集与处理系统研究与设计

提供了一种基于大数据的航空作战数据采集与处理系统架构技术,包括：多源异构数据采集层, 用于获取原始数据并发送给数据治理层;数据治理层,用于接收和对所述原始数据执行解析、清洗转换形成 干净数据,并进行预处理形成主题数据;数据管理层,用于对数据生命周期、元数据、数据库、文件等进行 管理及统计分析;数据服务层,用于提供数据智能缓存、事件分析、数据发布、数据挖掘等服务;数据应用 层,用于接收所述主题数据进行任务复盘和回放,以及基于元数据进行数据地图、商业智能（BI：Business Intelligence）等有价值的数据分析应用。该方法能够有效提高航空数据管理的智能化水平,挖掘数据价值。     

纺丝工艺对炭纤维缠绕复合材料强度转化率的影响

通过不同纺丝工艺的聚丙烯腈基炭纤维表面状态、NOL环及Φ150 mm容器的实验研究,分析了不同纺丝工艺对湿法缠绕复合材料聚丙烯腈基炭纤维强度转化率的影响。结果表明,干喷湿纺炭纤维比湿法纺丝Φ150 mm容器环向纤维强度转化率要高出11.9%~15.4%,湿法纺丝的炭纤维复合材料NOL环层间剪切强度要比干喷湿纺炭纤维复合材料高7.4~34.1 MPa。因此,干喷湿纺的炭纤维可应用于固体火箭发动机缠绕壳体、压力容器等主要承受拉伸应力的领域,可充分发挥其纤维强度;而湿法纺丝工艺制成的炭纤维与树脂基体结合紧密,利于载荷的传递,可应用于承受压缩剪切等复杂载荷的领域,从而发挥这两种纤维各自不同优势。     

1 000 MW超超临界锅炉结渣特性预测模型

根据1 000 MW超超临界锅炉的实际运行数据,对其结渣特性进行研究和分析。建立了基于煤灰特性的锅炉结渣特性预测模型,包括单一指标和综合指标的各预测模型,这些预测模型能简单、快速地预测锅炉的结渣特性。但对于锅炉燃用煤质不均匀或采用混煤燃烧等情况,这类预测模型的准确性和可靠性将下降。同时根据锅炉运行时的实时监测数据,建立了基于炉膛清洁因子的炉膛结渣特性在线监测模型,通过炉膛出口后各受热面进出口蒸汽温度、流量,以及省煤器出口烟气温度等有关参数,利用反平衡法计算求得此时的炉膛出口烟气温度,然后求出炉膛的平均热有效性系数和炉膛清洁因子,最后根据清洁因子的大小来判断锅炉的结渣特性。该模型不仅能根据锅炉运行实时数据的采集,实现锅炉结渣特性的在线实时监测,而且能对煤质不均匀或采用混煤燃烧等情况的锅炉结渣特性做出较准确的判别。     

某型航空活塞发动机曲轴喷油螺钉的维修工艺研究

喷油螺钉是某型航空活塞式发动机曲轴组合中的重要零件，单纯采用超声波清洗难以清除该零件内部积炭。结合生产实践对工艺进行改良，使该零件修理后的抽检合格率由20%提升至70%，缩短了发动机的翻修时间，节约了维修成本。     

到达时着陆距离评估方法和实例分析

就着陆距离评估的相关定义、相关要求进行了阐述,并以ERJ190为例,给出了到达时着陆距离评估的方法和步骤.     

液体天然橡胶对湿法混炼制备天然橡胶/白炭黑复合材料性能的影响

采用湿法混炼工艺制备天然橡胶/白炭黑(W(NR/SiO_2))复合材料,并采用液体天然橡胶(LNR)为增容剂,探讨了LNR对复合材料硫化特性、橡胶加工性能、白炭黑分散性、静态力学性能及动态性能的影响。结果表明:LNR具有较好的增容效果;使用LNR增容后,胶料的正硫化时间缩短,在白炭黑为70 phr时T_(90)缩短4.16 min,加工性能改善;白炭黑在NR中的分散性提高;胶料力学性能得到改善,在白炭黑为60 phr时最明显,拉伸强度和撕裂强度分别提高25.73%和66.59%;LNR增容后胶料的抗湿滑性提高且滚动阻力降低。复合材料良好的相容性是LNR与NR和白炭黑两相同时发生作用形成增容界面的结果。     

光学基片表面软质抛光胶体粒子的激光清洗

介绍了光学基片表面软质抛光胶体粒子激光清洗的基本方法、原理和实验装置,并通过对含有污染微粒的基片表面进行激光清洗,获得了高洁净表面的光学基片.     

Tropospheric wet refractivity tomography using multiplicative algebraic reconstruction technique

Algebraic reconstruction techniques (ART) have been successfully used to reconstruct the total electron content (TEC) of the ionosphere and in recent years be tentatively used in tropospheric wet refractivity and water vapor tomography in the ground-based GNSS technology. The previous research on ART used in tropospheric water vapor tomography focused on the convergence and relaxation parameters for various algebraic reconstruction techniques and rarely discussed the impact of Gaussian constraints and initial field on the iteration results. The existing accuracy evaluation parameters calculated from slant wet delay can only evaluate the resultant precision of the voxels penetrated by slant paths and cannot evaluate that of the voxels not penetrated by any slant path. The paper proposes two new statistical parameters Bias and RMS, calculated from wet refractivity of the total voxels, to improve the deficiencies of existing evaluation parameters and then discusses the effect of the Gaussian constraints and initial field on the convergence and tomography results in multiplicative algebraic reconstruction technique (MART) to reconstruct the 4D tropospheric wet refractivity field using simulation method.