Stark broadening of B IV lines for astrophysical and laboratory plasma research

Stark broadening parameters for 36 multiplets of B IV have been calculated using the semi-classical perturbation formalism. Obtained results have been used to investigate the regularities within spectral series and temperature dependence.     

Stark widths of Ar III spectral lines in the atmospheres of subdwarf B stars

Using semiclassical perturbation approach in impact approximation, we have calculated Stark widths for 32 spectral lines of doubly charged argon (Ar III). Oscillator strengths are calculated using Hartree–Fock method with relativistic correction (HFR) and an atomic model including 17 configurations. Energy levels are taken from NIST database. For perturbing levels for which the corresponding energy does not exist in NIST database, the calculated energies are used. Our widths are compared with the experimental results. The results presented here are of interest for modelling and investigation of stellar atmospheres since argon in different ionization stages is observed in many astrophysical objects. Finally, the importance of Stark broadening mechanism is studied in the atmospheric conditions of sdB stars. Electron impact Stark widths are compared to thermal Doppler widths as a function of temperature and optical depth of atmospheric layers.     

大型居住社区多元化管理模式研究——以上海市浦东新区为例

大型居住社区是郊区快速城市化的产物,其社区管理面临弱势群体集中、社区居民就业困难、社区自治程度低等困难.以上海市浦东新区为例,探讨一种多元化的社区管理模式,正确定位多元管理主体的关系,以实现社区复合治理为目标,促进社区自治.     

浅析高校房产管理存在的问题及对策

在我国市场经济快速发展的背景下,随着高校校区规模的不断扩张,高校的房产管理工作面临着管理体制改革和服务水平提升的双重挑战。对高校房产管理工作中存在的问题进行了分析,结合高校房产管理工作的实际情况,提出了改进高校房产管理的几点措施。     

基于神经网络的飞行科目模板样本集建立方法

为建立某一飞行科目的模板样本集,提出一套基于神经网络和卡尔曼滤波的数据处理方法。任选一次试飞样本,建立Kohonen自组织神经网络进行参数降维、聚类分析、特征提取等,使样本量缩减90%以上,得到该科目的模板样本集。用处理后的样本训练BP神经网络,对其他未经处理的试飞样本进行载荷预测,误差均在3%之内,说明处理后的样本能代表该科目的数据特点,即为模板样本集。方法可以为飞机载荷监控数据库的完善工作服务。     

航空电子企业中数据挖掘技术的应用

以Oracle数据库为源头在微软SQL Server Analysis Services平台上通过建立数据挖掘模型并在航空电子企业中得到实践与应用。     

推进剂重定位过程仿真与分析

为了拓展低温上面级滑行时间，满足深空探测任务需求以及提升运载火箭任务适应性，中国未来型号研制将采用间歇沉底的方案，其主要难点是推进剂重定位过程的研究。本文针对目前重定位仿真多为二维CFD仿真且不能准确合理地预示气泡逸出过程的问题，提出一种基于Flow-3D的三维CFD仿真方法。该方法采用卷气体积与液体体积之比（卷气率）预示气泡逸出过程，比以往采用气泡粒子数预示气泡逸出过程的方法更为合理准确。重定位及气泡逸出过程的仿真结果与半人马座落塔试验的结果具有一致性，捕捉到了重定位过程所有特征流型，且对应时刻误差不超过10%。仿真结果表明间歇沉底推进剂管理方案的可行性，并确定了某低温上面级的相关设计参数。     

A heuristic cabin-type component alignment method based on multi-source data fusion

In cabin-type component alignment, digital measurement technology is usually adopted to provide guidance for assembly. Depending on the system of measurement, the alignment process can be divided into measurement-assisted assembly (MAA) and force-driven assembly. In MAA, relative pose between components is directly measured to guide assembly, while in force-driven assembly, only contact state can be recognized according to measured six-dimensional force and torque (6D F/T) and the process is completed based on preset assembly strategy. Aiming to improve the efficiency of force-driven cabin-type component alignment, this paper proposed a heuristic alignment method based on multi-source data fusion. In this method, measured 6D F/T, pose data and geometric information of components are fused to calculate the relative pose between components and guide the movement of pose adjustment platform. Among these data types, pose data and measured 6D F/T are combined as data set. To collect the data sets needed for data fusion, dynamic gravity compensation method and hybrid motion control method are designed. Then the relative pose calculation method is elaborated, which transforms collected data sets into discrete geometric elements and calculates the relative poses based on the geometric information of components. Finally, experiments are conducted in simulation environment and the results show that the proposed alignment method is feasible and effective.     

可重复启动低温上面级的推进剂管理装置研究

回顾了低温上面级推进剂管理技术的国内外研究现状,分析了上面级微重力环境中低温推进剂管理涉及的液体蓄留、气液分离和局部热控等关键技术。开展了液氧贮箱推进剂管理装置的方案设计,并试验验证了可填充蓄液器的填充和下层板网的指定路径排气等关键功能,确认了方案的可行性。