固体发动机喷管出口凝相微粒粒度分布研究

应用激光全息光学诊断方法对固体火箭发动机喷管出口凝相微粒分布进行了测量，并得出了其分布曲线。对凝相微粒数字图像处理算法也进行了研究。     

基于Web方式下的信息管理系统的开发

本文介绍了一个基于Web方式下信息信息管理系统的开发实例，重点阐述了Web方式下信息管理系统的设计思想以及及关键技术的实现     

Effect of matching between the magnetic field and channel length on the performance of low sputtering Hall thrusters

Discharge characteristics of a non-wall-loss Hall thruster were studied under different channel lengths using a design based on pushing a magnetic field through a double permanent magnet ring. The effect of different magnetic field intensities and channel lengths on ionization, efficiency, and plume divergence angle were studied. The experimental results show that propellant utilization is improved for optimal matching between the magnetic field and channel length. While matching the magnetic field and channel length, the ionization position of the neutral gas changes. The ion flow is effectively controlled, allowing the thrust force, specific impulse, and efficiency to be improved. Our study shows that the channel length is an important design parameter to consider for improving the performance of non-wall-loss Hall thrusters.     

Evaluation of a regional real-time precise positioning system based on GPS/BeiDou observations in Australia

The performance of real-time (RT) precise positioning can be improved by utilizing observations from multiple Global Navigation Satellite Systems (GNSS) instead of one particular system. Since the end of 2012, BeiDou, independently established by China, began to provide operational services for users in the Asia-Pacific regions. In this study, a regional RT precise positioning system is developed to evaluate the performance of GPS/BeiDou observations in Australia in providing high precision positioning services for users. Fixing three hourly updated satellite orbits, RT correction messages are generated and broadcasted by processing RT observation/navigation data streams from the national network of GNSS Continuously Operating Reference Stations in Australia (AUSCORS) at the server side. At the user side, RT PPP is realized by processing RT data streams and the RT correction messages received. RT clock offsets, for which the accuracy reached 0.07 and 0.28?ns for GPS and BeiDou, respectively, can be determined. Based on these corrections, an accuracy of 12.2, 30.0 and 45.6?cm in the North, East and Up directions was achieved for the BeiDou-only solution after 30 min while the GPS-only solution reached 5.1, 15.3 and 15.5?cm for the same components at the same time. A further improvement of 43.7, 36.9 and 45.0 percent in the three directions, respectively, was achieved for the combined GPS/BeiDou solution. After the initialization process, the North, East and Up positioning accuracies were 5.2, 8.1 and 17.8?cm, respectively, for the BeiDou-only solution, while 1.5, 3.0, and 4.7?cm for the GPS-only solution. However, we only noticed a 20.9% improvement in the East direction was obtained for the GPS/BeiDou solution, while no improvements in the other directions were detected. It is expected that such improvements may become bigger with the increasing accuracy of the BeiDou-only solution.     

Low-latitude storm time ionospheric predictions using support vector machines

The electromagnetic drift plays an important role in low-latitude storm time ionospheric dynamics. In this study we attempt to utilize the electric field data into ionospheric predictions by using support vector machine (SVM), a promising algorithm for small-sample nonlinear regressions. Taking the disturbance electric field data as input, different SVMs have been trained for three seasonal bins at two stations near the north crest of the Equatorial Ionization Anomaly (EIA). Eighteen storm events are used to check out their predicting abilities. The results show fairly good agreement between the predictions and observations. Compared with STORM, a widely used empirical correlation model, the SVM method brings a relative improvement of 23% for these testing events. Based on this study we argue that the SVM method can improve the storm time ionospheric predictions.     

飞行员视觉信息流强度模拟及适人性分析

为了合理地确定飞行员在执行飞行任务时的视觉信息流强度,开发了飞机座舱显示界面仿真模型,以被试的正确反应率和反应时间来评价作业绩效.通过实验和数据分析得到以下结果:所建立的视觉信息流模型中视觉信息流强度曲线符合正态分布.不同的视觉信息量完成任务差异显著,信息量增加到一定程度时辨识变慢,出现错误的几率升高;在相同视觉信息量情况下,夜晚与白天、动态与静态执行任务辨识和绩效差异显著,白天要比夜晚、静态要比动态辨识效率和绩效更好.      

计及壁面传热的微型向心涡轮气动设计探讨

毫米级微型向心涡轮传热效应显著区别于常规向心涡轮,发展计及壁面传热效应的微型向心涡轮的气动设计方法对微型燃气轮机的设计具有重要意义.根据微型向心涡轮壁面非绝热的特点,通过理论分析,初步建立了计及固壁传热效应的微型向心涡轮速度三角形的分析模型.在此基础上发展了计及传热效应的微型向心涡轮的气动设计方法.分析得到了考虑传热影响的微型向心涡轮设计规律.利用三维数值模拟手段对模型和设计方法进行了验证.结果初步表明所发展计及壁面传热效应的模型和微型向心涡轮气动设计方法具有较好的可行性.     

考虑随机干扰的高超声速滑翔飞行器轨迹优化

为解决高超声速滑翔式飞行器具有干扰不确定性的再入轨迹优化问题,提出了一种基于广义正交多项式方法的随机轨迹优化数值求解方法。针对随机干扰,基于广义正交多项式方式对其分布进行采样,形成采样空间,而后将每个采样值代入确定性轨迹优化问题中进行反复迭代求解,得出观测值的样本空间,并计算其期望、方差和协方差,估计输出值。以最大纵程为代价函数对具有随机干扰的高超声速滑翔式飞行器最优轨迹进行了数字仿真。仿真结果表明,基于广义正交多项式的随机轨迹优化方法能够有效处理随机干扰对轨迹优化问题的影响,与蒙特卡洛法相比计算效率大大提高。     

喷油器瞬态两相流动的建模方法

为了研究柴油机喷油器内部的气穴现象,采用一种新的方法建模并进行瞬态两相流动的数值模拟. 首先求解针阀开启时刻的稳态流场,然后导入自编的程序进行瞬态流场的计算. 自编程序是基于Fluent提供的用户自定义函数,用于控制模型边界条件,分析针阀受力情况和计算其运动速度. 初始计算条件来自稳态流场,每一步瞬态计算都依赖之前流场的计算结果. 这种建模方法保证了数值模拟的连贯性和真实性,确定喷油器初始条件就可以完整地计算喷油过程,得到每一时刻喷油器内部的压力分布和两相流分布等数据. 研究结果表明,这种新的建模方法是可行和有效的,其数值模拟结果和实验结果相吻合,并能揭示出喷油器喷嘴入口处气穴现象的产生、发展和消失过程,是进一步深入开展柴油喷油系统两相流动特性研究的一种新的途径.