碳/碳复合材料

引言近年来,欧洲动力公司(S.E.P.)对固体发动机喷管部件所用的碳材料,特别是碳/碳材料进行了研制。喷管材料具有耐烧蚀的特性,要经受3000℃以上的高温。由于喷管性能要求非常高,材料必须具有良好的耐烧蚀性能和较低的比重。考虑到在大多数喷管里,化学反应发生在还原介质中,我们认为所能使用的耐热材料中,碳是最可取的。在此文中,我们不评述构成喷管部件的碳结构材料,只简要地论述多晶石墨、热解石墨、碳增强酚醛复合材料和碳/碳材料,侧重介绍后两种,这是欧洲动力公司重点研制项目。     

论现有远地点发动机用于新航天飞行器的有关问题

为了使正进入鉴定阶段的远地点发动机(TE-M-616)用于广播试验卫星,本文介绍了该新航天飞行器对远地点发动机的各系统及分系统提出的要求。由于加拿大通讯技术卫星和广播试验卫星对远地点发动机在环境和性能要求上有所不同,为了解决此问题,必须使远地点发动机经受住最恶劣的环境。喷管设计以及远地点发动机与航天器的对接都利用现有设计结构。根据对远地点发动机分析的结果,已经表明,若保持安全系数不变,只需要对现在进行的试验计划做一些修改和补充。另一方面,对于航天器提出的技术条件必须进一步审核,以便使新航天飞行器设计有最大可能利用现有的远地点发动机。     

一种大变形多空间域连续体结构拓扑优化方法

针对大变形非线性结构拓扑优化问题,提出了基于混合细胞自动机(HCA, Hybrid Cellular Automata)多空间域连续体结构拓扑优化方法;采用密度法,建立了单元相对密度表示的材料弹-塑性模型;以单元相对密度和应变能作为细胞自动机(CA,Cellular Automata)的状态信息,利用CA局部控制规则,修改相对密度,迭代实现各设计空间域应变能均匀分布;设计了多空间域拓扑优化HCA算法,采取多个对象同时耦合优化迭代,各自收敛策略,解决了多空间域优化迭代算法收敛稳定性问题;最后,以汽车保险杆结构横梁和支撑等两个设计空间为例,施加大变形动态载荷作用,对提出的多空间结构优化算法进行了验证,优化后结构有效地降低了碰撞作用力峰值达54％,提高了结构安全性.     

DS/FH混合扩频快速捕获技术的研究

在DSFFH混合扩频通信系统中,快速捕获是一个非常关键的技术。通过采用快速扫描和等待式相结合的方法用来实现跳频信号的快速捕获,利用神经网络技术实现直扩信号的快速捕获,通过这2种方式,就可实现DSFFH混合扩频的快速捕获。     

The Physical Foundation of Forecasting Disturbances in the Geospace From Solar Disk Characteristics

The five main types of antisunward propagating energetic fluxes (particles and emission) may be thought of as well established to date, the effects of which lead to a particilar character of disturbance in the near-terrestrial environment (the Earth's magnetosphere, ionosphere and atmosphere). The strongest global restructuring of the magnetosphere and ionosphere is caused by fluxes of relatively dense n of 1-70 cm-3 at the Earth's orbit) Solar Wind (SW) quasi-neutral, low-energy (E ＜ 10 keV) plasma which cause magnetospheric and ionospheric storms lasting 24 hours or longer. For that reason, main attention is given to their study at the initial stage of research. The physical essence of the method of predicting disturbances in the near-terrestrial space environment, the amplitude of which can be expressed in, for example, the Kp index units, involves:(1) identifying all the most geo-effective SW streams of type, (2) determing their sources on the solar disk,and (3) quantifying the correlations between the characteristics of their solar sources with a maximum value of the Kp-index that is caused by the concerned type of SW stream. Semi-phenomenological relations have been obtained, which relate parameters of type SW stream sources to characteristics of geomagnetic storms:storm commencement, the time at which the storm intensity reaches its maximum values, the storm duration,as well as to the storm amplitude expressed in terms of geomagnetic indeces.      

Study of the Enhancement Events of Relativistic Electron at the Geosynchronous Orbit

The high flux of energetic electron on geostationary orbit can induce many kinds of malfunction of the satellite there, within which the bulk-charging is the most significant that several broadcast satellite failures were confirmed to be due to this effect. The electron flux on geostationary orbit varies in a large range even up to three orders accompanied the passage of interplanetary magnetic cloud and the following geomagnetic disturbances. Upon the investigation of electron flux enhancement events, two types of events were partitioned as recurrent events and random ones. Both of the two kinds of events relate to the interplanetary conditions such as solar wind parameters, IMF etc and their evolution characters as well. As for the recurrent events, we found that, (1) all of the events exhibits periodic recurrence about 27 days, (2) significant increase of electron flux relates to interplanetary index and characters of their distribution, (3) the electron flux also has relation to solar activity index. An artificial neural network was constructed to estimate the flux I day ahead. The random electron flux enhancement events are rare and present different distribution figures to the recurrent ones. The figure of the random events and the conditions of their occurrence is also discussed in this paper.      

基于深度学习的毫米波和亚毫米波成像仪的图像增强技术

风云四号卫星毫米波和亚毫米波成像仪(MMSI)数据根据采样方式分为过采样和非过采样数据。由于采样方式的影响,非过采样数据在采样过程中会有一定的信息损失。为解决采用简单的线性插值方法做精细化处理时提升精度有限问题,采用基于深度学习的方法增强MMSI亮温图像,设计卷积神经网络重建风云四号卫星MMSI的亮温图像和风云三号卫星微波成像仪亮温图像。实验结果显示:相比传统的双三次插值方法,在风云三号卫星微波成像仪亮温图像样本上峰值信噪比提升了1.13dB,结构相似度提升了0.01。实验结果表明:对于非过采样亮温数据,采用基于深度学习的方法增强图像具有更高的精度,同时可在其他微波探测仪数据中使用,具有很强的普适性。     

敏捷制造模式下的质量保证信息系统

客户驱动的动态的全球市场及地理上分布的合作伙伴给开发敏捷制造模式下的质量保证信息系统(QAIS)带来了新的挑战,本文先对敏捷制造模式下的QAIS进行了需求分析,提出了新的分布式QAIS的实现框架,利用当前迅速发展的信息技术,建立了QAIS的开发环境并对有关关键技术进行了初步研究,最后开发完成了一个基于Web的QAIS原型系统.     

基于有限元模拟的三维型材拉弯轨迹设计

针对三维型材拉弯,提出一种基于变形控制有限元模拟的轨迹设计方法。首先提取模具长度方向特征线并将其离散成诸多线段单元,这样毛料逐步包覆模具的过程就变成毛料包覆这些线段单元的过程。给定毛料依次包覆线段单元发生的变形,根据切线接触条件（拉弯成形过程中毛料离开模具的位置处两者相切）计算出每步毛料末端位移。将这些位移作为边界条件输入有限元模型中计算毛料应力、应变和回弹。根据成形极限图和规定最大回弹超差量来调整变形模式,找到优化的变形模式和拉弯轨迹。以中空矩形截面型材三维拉弯为例,给出了轨迹设计的详细流程。     

德国机床工业的创新和趋势

机床是一个复杂的机电一体化系统.机床的创新离不开新结构、新材料、新的功能部件、新刀具和新的外围设备.加工工艺的发展以及加工过程的仿真和监控也日益受到重视.