Energetic Hydrogen and Oxygen Atoms Observed on the Nightside of Mars

We present measurements of energetic hydrogen and oxygen atoms (ENAs) on the nightside of Mars detected by the neutral particle detector (NPD) of ASPERA-3 on Mars Express. We focus on the observations for which the field-of-view of NPD was directed at the nightside of Mars or at the region around the limb, thus monitoring the flow of ENAs towards the nightside of the planet. We derive energy spectra and total fluxes, and have compiled maps of hydrogen ENA outflow. The hydrogen ENA intensities reach 10⁵ cm⁻² sr⁻¹ s⁻¹, but no oxygen ENA signals above the detection threshold of 10⁴ cm⁻² sr⁻¹ s⁻¹ are observed. These intensities are considerably lower than most theoretical predictions. We explain the discrepancy as due to an overestimation of the charge-exchange processes in the models for which too high an exospheric density was assumed. Recent UV limb emission measurements (Galli et al., this issue) point to a hydrogen exobase density of 10¹⁰ m⁻³ and a very hot hydrogen component, whereas the models were based on a hydrogen exobase density of 10¹² m⁻³ and a temperature of 200 K predicted by Krasnopolsky and Gladstone (1996). Finally, we estimate the global atmospheric loss rate of hydrogen and oxygen due to the production of ENAs.     

一种弱场区无线传输系统

在铁路无线列调通信中存在弱场区和盲区,通信质量难以控制。设计了完整的方案,提高了原无线列调中存在的弱场区的场强,并增大场强覆盖率,使通话距离得到扩展,改善了话音质量。     

Simulation analysis for effects of bone loss on acceleration tolerance of human lumbar vertebra

The purpose of the present study was to analyze and predict the changes in acceleration tolerance of human vertebra as a result of bone loss caused by long-term space flight. A human L3–L4 vertebra FEM model was constructed, in which the cancellous bone was separated, and surrounding ligaments were also taken into account. The simulation results demonstrated that bone loss has more of an effect on the acceleration tolerance in x-direction. The results serve to aid in the creation of new acceleration tolerance standards, ensuring astronauts return home safely after long-term space flight. This study shows that more attention should be focused on the bone degradation of crew members and to create new protective designs for space capsules in the future.     

神经网络模型在压气机通流特性分析中的应用

为了解决通流特性分析程序中原始模型对压气机性能预测精度不足的问题,提高压气机通流特性分析过程的可靠性,基于对大量多圆弧叶栅的数值模拟结果建立了压气机叶栅性能数据库,并以该数据库为依托,采用神经网络建模方法建立了压气机叶栅基准损失系数和基准落后角模型。结果显示:两模型对叶栅基准损失系数和基准落后角的预测精度均满足工程应用要求,其精度分别为±0.002和±1°。在对采用神经网络模型的通流特性分析程序校验过程中发现,其无论对压气机整机性能还是对流动细节的预测精度上都获得了显著提高,尤其是在主流区。此外从压气机整体特性上看,基准损失系数和基准落后角精度的提高对非设计工况损失系数和落后角的预测精度影响是积极的。      

Visual inspection of aircraft skin: Automated pixel-level defect detection by instance segmentation

Skin defect inspection is one of the most significant tasks in the conventional process of aircraft inspection. This paper proposes a vision-based method of pixel-level defect detection, which is based on the Mask Scoring R-CNN. First, an attention mechanism and a feature fusion module are introduced, to improve feature representation. Second, a new classifier head—consisting of four convolutional layers and a fully connected layer—is proposed, to reduce the influence of information around the area of the defect. Third, to evaluate the proposed method, a dataset of aircraft skin defects was constructed, containing 276 images with a resolution of 960 × 720 pixels. Experimental results show that the proposed classifier head improves the detection and segmentation accuracy, for aircraft skin defect inspection, more effectively than the attention mechanism and feature fusion module. Compared with the Mask R-CNN and Mask Scoring R-CNN, the proposed method increased the segmentation precision by approximately 21% and 19.59%, respectively. These results demonstrate that the proposed method performs favorably against the other two methods of pixel-level aircraft skin defect detection.     

ADS数据的处理和显示

基于航空卫星通信的飞行监视,即自动相关监视（ADS）,是航空卫星移动业务（AMSS）通信应用新领域,是建立在航空卫星通信基础上的一种新的飞行监视技术。该文介绍了基本ADS报告信息电文的组成及各部分的含义,着重阐述将所收到的ADS数据进行处理,并以直观易懂的表格及图象形式显示出来,便于确切地知道飞机的四维位置（纬度、经度、高度和时间）。     

动能拦截器变结构自动驾驶仪设计方法研究

介绍了动能拦截器自动驾驶仪回路组成和动力学模型 ,重点研究了动能拦截器自动驾驶仪的变结构控制律设计 ,并进行了原理性的数学仿真计算。数学仿真表明 ,变结构自动驾驶仪具有很好的快速性和很高的姿态控制精度 ,可以满足动能拦截器对姿态控制的要求     

Ni,Ti及NiTi合金低能电子散射的Monte Carlo模拟

采用MonteCarlo方法,模拟了低能电子束(能量E0≤5keV)作用下Ni,Ti及NiTi合金固体中的电子散射,分析了3种金属/合金中散射电子的能量与空间分布。研究表明:(1)入射电子能量E0越小,各材料的背散射电子(BSEs)深度、吸收电子(AEs)深度及散射电子能量损失的深度均越小,分辨率越高;(2)相同E0下,各材料的BSEs,AEs及能量损失深度均有NiNiTi>Ti;(3)NiTi合金的BSEs深度、AEs深度及能量损失的深度和分辨率分别近似于Ni,Ti固体相应量的平均值。     

LEO原子氧剥蚀太阳电池阵Ag互连材料的试验研究

暴露在低地球轨道(LEO)上的太阳电池阵,会与大量具有极强氧化性的原子氧发生碰撞,导致太阳电池阵中对氧原子敏感的Ag互连材料受到剥蚀。文章依据原子氧剥蚀Ag材料的机理,选取了约400 km高度轨道上1年时间内原子氧的累积通量作为最高剂量,进行了原子氧剥蚀不同厚度Ag互连材料的地面模拟环境试验。试验表明:Ag在原子氧作用下在宏观上会经历"氧化—剥落"的循环剥蚀过程。根据反应方程简化推导了Ag互连片的剥蚀厚度公式,同时结合试验结果计算出了不同厚度Ag互连材料的厚度损失率。该研究成果可为LEO太阳电池阵原子氧防护设计提供技术支持。     

网格式肋化通道换热与总压损失特性研究

通过两个实验模型,对矩形网格式肋化通道的换热与总压损失特性进行了实验研究。模型通道的两个宽边是由铝板机械加工而成的肋化壁,两个短边是由胶木板制成的绝热壁。肋化壁上肋与通道轴线所形成的锐角定义为肋向角α,第一个模型的两个宽边上的肋向角分别为45°和-45°(简称45/45模型);第二个模型两宽边的肋向角分别为45°和-60°(简称45/60模型)。两个模型的肋宽与肋间距之比t/p=0.25,肋间距与肋高之比t/e=0.30,肋高与通道高度之比e/H=0.50,即两个肋化壁的肋尖相互接触,从而形成网格式通道。实验表明当雷诺数在0.5×105～1.2×105范围内变化时,网格式内冷通道换热效果比光滑通道提高了5～9倍,但伴随的总压损失增加了3个数量级。