Contributions of the International Space Station towards future exploration missions

When the idea of a large space station in Low Earth Orbit (LEO) was conceived in the 1980s, it was primarily planned as an orbiting laboratory for microgravity research. Some even thought of it as an industrial plant in space. Whereas the latter did not materialize because of various reasons, the former is absolutely true when you talk about the International Space Station (ISS). Since the transition to a six astronaut crew in 2009 and the completion of its assembly in 2011, it has been intensively used as laboratory in a wide field of scientific topics. Experiments conducted on ISS have yielded first class results in biology, physiology, material science, basic physics, and many more. While its role as a laboratory in space is widely recognized, the awareness for its potential for preparing future exploration missions beyond LEO is just increasing. This paper provides information on how the ISS programme contributes to future exploration efforts, both manned and unmanned. It highlights the work that has been done or is currently underway in the fields of technology, operations, and science. Further potentials and future projects for exploration preparation are also shown. A special focus lies on experiments and projects primarily funded by the German Aerospace Center (DLR) or with strong German participation in the science team.     

ELID成形磨削实验研究与表面粗糙度预测

为了探究ELID成型磨削中磨削参数和电解参数对表面粗糙度的影响规律,基于未变形切屑厚度模型,考虑砂轮上磨粒出刃高度的随机性以及ELID磨削中氧化膜的影响,建立了针对ELID磨削的表面粗糙度预测模型。单因素实验研究了ELID成形磨削电源参数对表面粗糙度的影响规律,并探讨了电解电流与氧化膜厚度之间的关系。全因子实验以工件转速、砂轮转速和进给切深为影响因素,研究了磨削参数对表面粗糙度的影响规律,并对预测模型进行了验证。结果表明:磨削参数中,其他条件一定时,表面粗糙度随砂轮转速的增大而减小,随工件转速和切深的增大而增大;同时对于粗糙度的预测误差达到了8.75%,预测模型有效可靠。     

家用火灾自动报警装置的设计

城市家庭安装火灾自动报警装置非常必要。使用单片机,选用数字化温度传感器和烟雾检测器作为敏感元件,利用多传感器信息融合技术,设计适用于家庭的火灾报警装置,可使整个系统硬件电路设计合理,性能安全可靠。     

轨道测量差分精确定轨方法

航天器轨道精确测定重要环节之一是有效地消除观测系统误差,在轨道测量数据处理时,一类是利用轨道约束自校准技术来估算和校准系统误差,另一类可以应用测元差分方法来消除系统误差(例如导航卫星测定目标)。本文提出一种新的差分技术,即利用观测数据时序差分消除系统误差技术,并推导相应确定航天器轨道的公式。     

人工智能气动特性预测技术在火箭子级落区控制项目的应用

发展了一种基于人工智能算法的气动特性预测技术,在开展部分工况风洞试验基础上,结合少量数值仿真结果,通过机器学习模型预测全部工况气动特性.该方法能够降低研制成本,缩短周期.先后解决了相关函数选择、模型超参数训练、数据检验和"人在回路"应用等关键算法与技术问题,应用于运载火箭子级栅格舵落区控制项目气动研制,获得了设计所需完...     

通信卫星技术要求

本文给出了通信卫星技术要求应考虑的十五个要素,并以国内商用通信卫星为例说明这些要素与各条技术要求的关系。     

表面组装技术和片状元件在空间应用的可能性

文章简单介绍了表面组装技术和片状元件的概况;结合卫星的特点,阐明了表面组装技术和片状元件在空间电子设备中应用的必要性和可能性。     

Online condition diagnosis for a two-stage gearbox machinery of an aerospace utilization system using an ensemble multi-fault features indexing approach

China manned space station is designed to operate for over ten years. Long-term and sustainable research on space science and technology will be conducted during its operation. The application payloads must meet the ‘‘long life and high reliability" mission requirement. Gearbox machinery is one of the essential devices in an aerospace utilization system, failure of which may lead to downtime loss even during some disastrous catastrophes. A fault diagnosis of gearbox has attracted attentions for its significance in preventing catastrophic accidents and guaranteeing sufficient maintenance. A novel fault diagnosis method based on the Ensemble Multi-Fault Features Indexing(EMFFI) approach is proposed for the condition monitoring of gearboxes. Different from traditional methods of signal analysis in the one-dimensional space, this study employs a supervised learning method to determine the faults of a gearbox in a two-dimensional space using the classification model established by training the features extracted automatically from diagnostic vibration signals captured. The proposed method mainly includes the following steps. First, the vibration signals are transformed into a bi-spectrum contour map utilizing bi-spectrum technology,which provides a basis for the following image-based feature extraction. Then, Speeded-Up Robustness Feature(SURF) is applied to automatically extract the image feature points of the bi-spectrum contour map using a multi-fault features indexing theory, and the feature dimension is reduced by Linear Discriminant Analysis(LDA). Finally, Random Forest(RF) is introduced to identify the fault types of the gearbox. The test results verify that the proposed method based on the multi-fault features indexing approach achieves the target of high diagnostic accuracy and can serve as a highly effective technique to discover faults in a gearbox machinery such as a two-stage one.     

Prediction of cutting forces in flank milling of parts with non-developable ruled surfaces

Predicting the cutting forces required for five-axis flank milling is a challenging task due to the difficulties involved in determining the Undeformed Chip Thickness(UCT) and CutterWorkpiece Engagement(CWE). To solve these problems, this paper presents a new mechanistic cutting force model based on the geometrical analysis of a flank milling process. In the model,the part feature and corresponding cutting location data are taken as input information. The UCT considering cutter runout is calculated according to the instantaneous feed rate of the element cutting edges. A solid-discrete-based method is used to precisely and efficiently identify the CWE between the end mill and the surface being machined. Then, after calibrating the specific force coef-ficients, the mechanistic milling force can be obtained. During the validation process, two practical operations, three-axis flank milling of a vertical surface and five-axis flank milling of a nondevelopable ruled surface, are conducted. Comparisons between predicted and measured cutting forces demonstrate the reliability of the proposed cutting force model.     

隐身技术和隐身武器的研究和应用

本文首先简要分析了隐身技术的研究现状,指出隐身技术应在注重雷达隐身研究的基础上,开始大力发展红外、声和视频等其它隐身技术;然后介绍了国外隐身技术的研究和应用进展情况,最后指出隐身技术和隐身武器的宽频带、全方位、全天候和智能化是其隐身特性发展的总趋势。