六端口微波测量技术

六端口技术是从70年代初发展起来的一项新的微波自动测量技术。经过十多年来各国科技工作者的研究、实践,无论在理论上,还是在系统构成、误差分析等方面均趋于成熟。该技术目前已广泛应用于微波计量、安全防护和工业在线检测诸部门。由六端口网络组成的自动网络分析仪,可望成为技术性能高的自动测试系统。本文分四个部分,系统地介绍了六端口技术的发展及其在微波测量中的应用;几种常用六端口结的组成及其设计准则;六端口自动网络分析仪的校准及其测量方法,以及如何评定六端口网络分析仪不确定度等问题,供从事微波计量测试及有关人员参考。     

微重力场中对流—辐射—传质系统的地面模拟技术

研究了微重力条件下对流－辐射－传质稳态系统的地面相似模拟技术，进一步发 温度－材料综合保护技术。通过采取补偿热流，调整壁面热流密度分布的方法，保持了原型与尺寸适当缩小后的模型的Ｎｕ数，Ｓｈ数，材料，温度，湿度不变，从而实现模型与原型流动，换热和传质相似。     

防静电白色热控涂层的空间环境性能试验

通过在氧化锌晶格中掺入重金属离子，得到具有防静电功能的白色颜料，再以丙烯酸树脂为粘合剂制备出空间飞行器外表面用的ACR－1防静电白色热控涂层；研究了空间环境效应（包括紫外辐照，电子和质子辐照）对该热控涂层太阳吸收率的影响并与有机硅白色热控涂层进行了比较，地面模拟空间环境试验研究结果证明，ACR－1防静电白色热控涂层具有良好的空间稳定性。     

微重力下管肋式空间辐射器的整体优化分析

建立了向一重力环境下管肋式空间辐射器传热过程的数学模型，并以单质量散热量最大和热载体驱动功率最小为优化目标，对管式空间辐射器进行了优化分析。     

多机并联火箭羽流流场及其底部热环境分析

For the problem that the plume flow field structure of a multi engine parallel rocket is complicated and the bottom thermal environment is extremely harsh, which may cause the failure of the engine structural components, the plume flow field and thermal environment at different altitudes are studied through numerical simulation. The result is compared with the measured results in flight which shows that when the rocket is flying at a low altitude, the plume of the engines do not interfere with each other. As the flight altitude increases, the plumes gradually expand and begin to interfere with each other, and finally there is an obvious backflow at the bottom of the rocket. The maximum heat flux at the moment of take off is basically the same as the measured value in flight. Before the backflow occurs, the heat flux mainly consists of radiant heat, the convective heat flow increases as the flight altitude grows, but it is also much smaller than the peak heat flow at takeoff. The result has certain guiding significance for the optimal design of engine structure thermal protection.     

Numerical simulations of water spray on flame deflector during the four-engine rocket launching

This paper aims to study on the cooling effect with two types of water spray nozzle on the flame deflector during the four-engine launch vehicle take-off. To accurately simulate the two-phase flow of the rocket gas with multispecies and the water spray, the three-dimensional compressible Navier-Stokes equations, discrete ordinates methods and realizable k-Ɛ turbulence model are used to establish the rocket supersonic plumes impact model. The Eulerian dispersed phase (EDP) model was used to simulate the water spray into the exhaust gas. The accuracy and effectiveness of the gas-liquid flow model are verified by a good agreement between simulation results and experimental data. On this basis, a series of numerical simulation studies under different water injection position are performed. The results show that the high temperature regions, along the axis of engines on the deflector plate, have no significant temperature decreasing effect by water spray from the nozzles mounted on the apex of the deflector, and the high temperature converts a large quantity of water into vapor near the plume boundary, which would decrease the flow conductivity. With the cooling spray nozzle fixed directly to the deflector plate, the temperature decrease effect is obvious and the effect of thermal shock on deflector plate induced by exhaust plume is reduced, so that it can prevent the flame deflector from thermal ablation. The study results provide indepth information and engineering guidance for designing the water spray systems and increasing the safety of the launch process.     

Air route network optimization in fragmented airspace based on cellular automata

Air route network optimization,one of the essential parts of the airspace planning,is an effective way to optimize airspace resources,increase airspace capacity,and alleviate air traffic con gestion.However,little has been done on the optimization of air route network in the fragmented airspace caused by prohibited,restricted,and dangerous areas (PRDs).In this paper,an air route network optimization model is developed with the total operational cost as the objective function while airspace restriction,air route network capacity,and non-straight-line factors (NSLF) are taken as major constraints.A square grid cellular space,Moore neighbors,a fixed boundary,together with a set of rules for solving the route network optimization model are designed based on cellular automata.The empirical traffic of airports with the largest traffic volume in each of the 9 flight information regions in mainland China is collected as the origin-destination (OD) air port pair demands.Based on traffic patterns,the model generates 35 air routes which successfully avoids 144 PRDs.Compared with the current air route network structure,the number of nodes decreases by 41.67％,while the total length of flight segments and air routes drop by 32.03％ and 5.82％ respectively.The NSLF decreases by 5.82％ with changes in the total length of the air route network.More importantly,the total operational cost of the whole network decreases by 6.22％.The computational results show the potential benefits of the model and the advantage of the algorithm.Optimization of air route network can significantly reduce operational cost while ensuring operation safety.     

复杂电磁环境下无线接收机电磁兼容快速测试技术应用CSCD

复杂射频电磁环境下,无线接收机作为主要的敏感设备,其电磁兼容性直接影响着整个武器装备的电磁兼容特性. 本文针对GJB 151B中对于接收机非线性测试方法的局限性,引入了一种利用自动双频测试系统对接收机干扰响应的快速测试方法;并搭建了实验室半实物仿真测试平台,检测了某接收机在（ 4-6 ） GHz组合频率干扰下的所有非线性的干扰响应通道. 测试结果对于评估接收机及其所在系统的外部电磁环境适应性具有重要参考价值.     

An Artificial Neural Network based approach for estimation of rain intensity from spectral moments of a Doppler Weather Radar

By using a Doppler Weather Radar (DWR) at Shriharikota (13.66°N & 80.23°E), an Artificial Neural Network (ANN) based technique is proposed to improve the accuracy of rain intensity estimation. Three spectral moments of a Doppler spectra are utilized as an input data to an ANN. Rain intensity, as measured by the tipping bucket rain gauges around the DWR station, are considered as a target values for the given inputs. Rain intensity as estimated by the developed ANN model is validated by the rain gauges measurements. With the help of a developed technique, reasonable improvement in the estimation of rain intensity is observed. By using the developed technique, root mean square error and bias are reduced in the range of 34–18% and 17–3% respectively, compared to Z–R approach.