非结构网格二维理想MHD绕流逆风格式解法

在非结构网格上发展了针对二维理想磁流体方程组的逆风格式求解方法.控制方程中的对流项采用AUSM格式处理,时间推进采用显式5步龙格-库塔方法.为了消除计算中产生的磁场散度的影响,引入了双曲型散度清除方法.通过对磁流体激波管问题的求解验证了该方法对激波的捕捉能力,对有均匀磁场干扰下的喷管流动情况进行了数值模拟,并与文献中结果进行了对比.计算结果显示了磁场对磁流体流动的干扰效应,该结果与参考文献中的数值模拟结果相吻合.     

PLC在货车轴承清洗机中的应用

设计了一种新型铁路货车轴承清洗机的清洗工艺过程，开发实施了清洗机的控制系统。着重阐述了用PLC对其运行过程进行自动检测的应用情况，并结合实际设备分析了PLC控制系统的硬件构成和软件特点。现场实际应用的结果表明，设备具有清洗效果良好、自动化程度高、运行稳定可靠等特点。     

绝缘子清扫机器人的动力学建模及轨迹优化

研究了支柱型绝缘子带电清扫机器人伸缩臂运动引起升降臂振动的问题，将升降臂和伸缩臂分别建模为柔性臂和刚性臂，形成末端具有移动刚体的柔性臂系统，在假设模态法的基础上建立了系统的Lagrange动力学模型，建模考虑了大多数柔性臂模型忽略的重力和非线性耦合的影响，分析了伸缩臂全局运动与升降臂局部振动的相互影响。提出一种单变量优化方法，以升降臂的残余变形能为性能指标，优化伸缩臂的运动轨迹，降低升降臂的残余振动。应用该方法对梯形速度曲线进行了优化，结果表明可以有效地控制升降臂的残余振动。该方法计算量小，便于在线实现。     

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。     

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。     

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。     

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.     

车辆及高速公路护栏清洗设备的现状与展望

本文简要地介绍了国内外对汽车、列车及高速公路护栏的清洗设备的设计思路、设备构成及使用情况，并分析提出了车辆及高速公路护栏的清洗设备的发展方向。     

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.     

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.