地外人工光合成装置研制与试验

原位资源利用技术是地外生命保障体系构建、实现人类地外生存的有效途径,是载人深空探索的核心技术。基于微通道技术的人工光合成反应器,采用流动反应器设计,用于低微重力等特殊环境条件下模拟人工光合作用,实现CO２向O２和含碳燃料的转化。微通道芯片通过气液剪切作用力使气体反应产物快速脱离电极表面并随反应介质排出反应器,理论上可以克服微重力条件对反应过程的影响,尚需进行微重力试验进行验证。同时,微通道结构可以通过精确控制反应气液的压力、流速、流量比等反应条件,获得优化的反应条件。通过地面试验,验证了该反应器将CO２还原为O２和含碳化合物的功能可行性。以Au和Ir/C作为阴极和阳极材料,3V电压条件下,O２产率可达11.74mL/h。此外,基于人工光合成反应器搭建了集反应模块、控制模块、流路驱动模块以及检测模块等于一体的地外人工光合成装置,形成原位反应、介质供给、精确控制、在线收集和检测等功能一体化的系统,并实现CO２有效转换和O２供给。为后续技术成熟度更高的反应装置研制、高产物选择性的含碳化合物转化以及人工光合成反应装置在轨试验奠定了理论和实践基础。     

一种基于承载效率准则的复合材料机翼结构布局优化方法(英文)

提出一种针对大型复合材料机翼结构的二级布局优化策略。系统级根据结构形变调整设计指标,子系统级优化结构布局以满足系统级约束。将机翼壁板中各种临界失效载荷的接近程度作为评判结构效率的标准,通过将结构效率作为优化目标,保证了所求解问题的连续性。加筋壁板通过等效的正交异性板模拟,并根据能量原理预测总体失稳载荷。讨论了加强筋支持弹性对于蒙皮抵抗局部失稳性能的影响,并通过神经网络代理模型对其进行逼近。采用解析模型对失效特性做出评估,减少了计算资源的占用。最后以一种大型机翼结构的综合优化作为算例,计算结果满足设计要求,验证了该方法的可行性。     

交流阻抗谱法评价热障涂层的热腐蚀行为(英文)

本文利用交流阻抗这种无损检测的方法研究了热障涂层在质量分数为25%NaCl+75%Na2SO4混合盐体系中的热腐蚀行为。实验结果显示,热腐蚀条件下,在陶瓷层和粘结层界面处形成TGO层为混合氧化物层,成分为Cr2O3、(Ni,Co)(Cr,Al)2O4和NiO,其厚度增长符合抛物线规律。热障涂层在110个循环腐蚀之前时,TGO层的电阻值随其厚度的增加而增加;110个循环后,虽然TGO层的厚度还是在增加,但由于TGO层孔隙的增多而导致其电阻值有所下降。陶瓷层的电阻值随着陶瓷层中裂纹的萌生和扩展而不断增大。等效电路中得到的参数可以用来表征热障涂层的失效行为。     

地域通信网中QPSK信号的抗干扰能力研究

System View是由美国ELANIX公司推出的、基于Windows环境下的可视化软件工具,主要用于信号级的系统仿真,是电路与通信系统设计、仿真时强有力的动态系统分析工具.利用System View动态分析仿真平台搭建了地域通信网的QPSK通信系统模型,并通过仿真给出高斯、单音、噪声调频、BPSK和QPSK五种干扰信号在该系统中的干扰效果和误码率.通过用System View对QPSK系统的仿真,可以看出单音和噪声调频是对QPSK通信系统最有效的干扰样式.     

Deformation Behavior of Medium-strength TA18 High-pressure Tubes During NC Bending with Different Bending Radii

To improve the forming quality and forming limit of the numerical control (NC) bending of high-pressure titanium alloy tubes, in this study, using three-dimensional (3D) finite element method, deformation behavior of medium-strength TA18 high-pressure tubes during NC bending with different bending radii is investigated. The results show that the cross-sectional deformation and the wall thickness variation during NC bending of TA18 tubes using a small bending radius (less than 2 times of tube outside diameter) are clearly different from that using a normal bending radius (between 2 and 4 times of tube outside diameter). For bending with a normal bending radius, with or without a mandrel, the distribution of the flattening in the bending area resembles a platform and an asymmetric parabola, respectively. For bending with a small bending radius, with or without a mandrel, the flattening both distributes like a parabola, but the former has a stable peak which deflects toward the initial bending section, and the latter has a more pronounced peak with a bending angle and deflects slightly toward the bending section. The wall thickness variations with a normal bending radius, with and without a mandrel, both resemble a platform when the bending angle exceeds a certain angle. For the bending with a small radius, the distribution of the wall thickness variation without a mandrel follows an approximate parabola which increases in value as the bending angle increases. If a mandrel is used, the thickening ratio increases from the initial bending section to the bending section.     

一种机器人砂带磨削的路径规划方法(英文)

机器人砂带磨削系统具有弹性接触和宽行加工两个显著优点,被广泛应用在具有复杂工件的终加工领域,提高表面质量和加工效率。有关在曲率约束下的磨削路径规划研究较为少见。由于工件与接触轮之间存在复杂的弹性接触,因此,机器人磨削路径可以利用接触运动学的一般方法来求解。机器人砂带磨削过程且需要满足一般的砂带磨削工艺要求,其中最重要的是保证接触轮与工件的局部几何特征贴合。在曲率较小的局部,相邻刀位点的弧长加大,以保证加工效率。相反地,在曲率较大的局部,相邻刀位点的弧长较小,以保证加工精度。利用一系列平面与目标曲面相截,得到相应的截平面的轮廓曲线。对于任意一条轮廓线,优化相邻刀位点之间的弧长,在曲率较大的局部增加一个中间刀位点。本文提出了一种包含弧长优化和主曲率匹配的磨削路径生产方法,通过离线仿真验证了有效性,并利用该方法提高了曲面的磨削质量。该路径规划方法为生成光顺且精确的机器人曲面磨削路径提供了理论依据。     

Double-stage Metamodel and Its Application in Aerodynamic Design Optimization

Constructing metamodel with global high-fidelity in design space is significant in engineering design. In this paper, a double-stage metamodel (DSM) which integrates advantages of both interpolation metamodel and regression metamodel is constructed. It takes regression model as the first stage to fit overall distribution of the original model, and then interpolation model of regression model approximation error is used as the second stage to improve accuracy. Under the same conditions and with the same samples, DSM expresses higher fidelity and represents physical characteristics of original model better. Besides, in order to validate DSM characteristics, three examples including Ackley function, airfoil aerodynamic analysis and wing aerody-namic analysis are investigated. In the end, airfoil and wing aerodynamic design optimizations using genetic algorithm are presented to verify the engineering applicability of DSM.     

地面测发控系统中长电缆的屏蔽技术

阐述了地面测发控系统中箭地连接长电缆屏蔽技术对整个武器系统的重要性,分析屏蔽长电缆的原理及工程制作;分别用电流注入法和模拟场强法进行试验,比较试验方法,确定了该种电缆的屏蔽效能,得到了一些长电缆抗EMP试验数据和定量关系,为柔软型抗电磁脉冲电缆在武器系统中的全面应用提供了第一手试验数据。     

Study of ADS-B Data Evaluation

In western China, the terrain and meteorological conditions are so complex that it is not suitable to construct new radar stations. Automatic dependent surveillance-broadcast (ADS-B) is a totally new surveillance method, so before practically applied and operated in China, abundant tests and evaluations are necessary to validate the performance of ADS-B and guarantee the operational security. During the flight tests, we collect the data of radar, ADS-B and high accuracy position and compare the performance of ADS-B with radar based on high accuracy position. To solve the asynchronous problem among radar data, ADS-B data and real-time kinematic (RTK) data caused by different update rates, this article proposes the technique of synchronizing multi-surveillance data by extrapolating from the data of low update rate to high update rate according to velocity and heading. Meanwhile, because radar data, ADS-B data and RTK data are expressed in different coordinates and cannot be compared each other, this article provides a method to unifying the coordinates of multi-surveillance data. By the analysis and evaluation, we can conclude that the performance of ADS-B is better than radar.     

基于多智能体混合学习的多星协同动态任务规划算法(英文)

针对多星协同动态任务规划问题,以往多采用基于启发式的重规划算法,但是由于启发式策略依赖于具体任务,使得优化性受到影响。注意到协同规划的历史信息对后续协同规划的影响,本文提出了一种基于策略迭代的多智能体强化学习和迁移学习的混合学习算法求解该问题近似最优策略。本文的多智能体强化学习方法利用神经网络描述各颗卫星的强化学习策略,通过协同进化的方法迭代搜索具有最优拓扑结构和连接权重的策略神经网络个体。针对随机出现的观测任务请求导致历史学习策略失效,通过迁移学习将历史学习策略转换为当前初始策略,保证规划质量前提下加快多星协同任务规划速度。仿真实验及分析结果表明本文算法对动态随机出现的任务请求有良好的适应性。