Magnetospheric physics in China: 2008—2010

In the past two years, most of the works on magnetospheric physics were made by using the data of Double Star Program and Cluster missions. However some works were still conducted by computer simulation or using the data from other space missions and ground geomagnetic observations. This paper briefly review these previous works based on papers selected from the 28 publications from April 2008 to April 2010. The subjects covered various sub-branches of magnetospheric physics, including geomagnetic storm, magnetospheric substorm and etc.      

连续波激光推力器稳定工作条件的解析计算模型

连续波激光推力器工作需要稳定的等离子体以吸收激光。为得到推力器中等离子体稳定维持的参数条件,根据吸收室内绕等离子体区域流动的流场特征,考虑高温状态下工质的热物理性质、激光吸收和辐射效应,建立了推力器吸收室内的能量平衡模型,该模型包含入射激光功率、推力室压强、等离子体区核心温度以及工质质量流量等参数。计算表明,该模型所得稳定质量流量随压力、激光功率的变化趋势与实验结果一致,并解释了稳定质量流量区间存在的原因。     

介质阻挡放电等离子体发光特性的光谱分析

利用光谱仪作为等离子体的诊断手段,开展了一系列实验,包括等离子体光谱强度与电源电压和频率的关系、等离子体光谱强度沿弦向的变化规律、降低气压以及冲入其它气体对等离子体发光强度的影响.实验中发现等离子体发光强度与电源电压是线性关系而频率对发光强度影响不大;发光强度沿弦向变化规律近似为高斯分布;降低气压、冲入氦气都可增强等离子体发光强度.这些工作为开展进一步的实验研究以及数值模拟工作奠定了基础.      

基于双重卡尔曼滤波器的发动机故障诊断

提出了一种基于双重卡尔曼滤波器的航空发动机健康参数估计方法,实现了传感器发生故障情况下发动机故障的准确诊断.采用发动机动态工作点的测量数据,解决了可测量参数偏少导致故障诊断困难的问题;球面采样平方根UKF(UnscentedKalmanfilter)故障诊断滤波器具有更好的滤波稳定性与更低的计算量的要求,提高了故障诊断算法的效率与精度.某型双轴涡扇发动机故障诊断仿真结果表明,该方法可以准确的同步实现气路部件与传感器的故障诊断,是一种有效的航空发动机故障诊断方法.      

等离子体点火器设计及其放电特性研究

基于等离子体放电理论,设计了3种不同形式的等离子体点火器:环形等离子体点火器、碟形等离子体点火器和圆柱等离子体点火器。对于不同的等离子体点火器,研究了在电源激励形式、电压、气体压力变化时的点火器放电特性,并将等离子体点火器与普通火花塞点火器的点火进行了对比分析。结果表明:设计的3种等离子体点火器能够有效地产生等离子体放电流注;随着放电环境的空气气压的逐渐升高,等离子体点火器的临界放电电压不断增大;在低气压时,击穿阈值电压随气压增加呈线性上升,基本符合帕邢定律的放电公式,在高气压时 ,放电阈值电压会偏离帕邢定律。     

TiAl合金粉末射频等离子体球化过程数值模拟

采用数值模拟的方法对TiAl合金粉末的射频(radio frequency)等离子体球化过程进行研究,分析速度场和温度场对不同粒径TiAl合金粉末的运动轨迹及质量变化的影响。结果表明:粉体颗粒在等离子体的高温作用下温度急剧升高,表面蒸发导致粒径降低,太小的颗粒很快蒸发消失掉;在冷却塔下端,不同粒径颗粒的运动轨迹存在较大差异,小颗粒倾向于随气流进入气流出口,大颗粒落到冷却塔底部被收集;增大气流量会提高球化系统中的气流速度,导致在气流出口能被气流带走的颗粒粒径变大,收粉率降低;模拟得到TiAl合金粉末球化后的粉末粒径分布、平均粒径及收粉率等参数与实验结果比较接近,模型能够较好地符合实际球化过程。     

两种翼型螺旋桨ARA-D和S1223的等离子体增效实验研究

文章首先基于雷诺相似理论,在地面螺旋桨实验平台上开展ARA-D翼型螺旋桨微秒脉冲等离子体增效三维实验,结果表明,等离子体对螺旋桨拉力增效效果随着脉冲频率增加而减弱,而螺旋桨转矩受等离子体影响随拉力增效效果增加而减弱,拉力、效率最大增幅分别达到10.79%、11.56%。而后基于雷诺相似理论及叶素理论,在低湍流度风洞开展S1223翼型螺旋桨叶素微秒脉冲等离子体增效二维实验,结果表明等离子体激励提高了翼型各叶素拉力,其中根部与尖部叶素表现尤为明显。二维实验结果可为三维实验激励器展向排布方案提供理论依据。2种实验结果均表明,等离子体射流可以有效抑制翼型表面流动分离。     

A combined technique of Kalman filter,artificial neural network and fuzzy logic for gas turbines and signal fault isolation

The target of this paper is the performance-based diagnostics of a gas turbine for the automated early detection of components malfunctions. The paper proposes a new combination of multiple methodologies for the performance-based diagnostics of single and multiple failures on a two-spool engine. The aim of this technique is to combine the strength of each methodology and provide a high success rate for single and multiple failures with the presence of measurement malfunctions. A combination of KF (Kalman Filter), ANN (Artificial Neural Network) and FL (Fuzzy Logic) is used in this research in order to improve the success rate, to increase the flexibility and the number of failures detected and to combine the strength of multiple methods to have a more robust solution. The Kalman filter has in his strength the measurement noise treatment, the artificial neural network the simulation and prediction of reference and deteriorated performance profile and the fuzzy logic the categorization flexibility, which is used to quantify and classify the failures. In the area of GT (Gas Turbine) diagnostics, the multiple failures in combination with measurement issues and the utilization of multiple methods for a 2-spool industrial gas turbine engine has not been investigated extensively.This paper reports the key contribution of each component of the methodology and brief the results in the quantification and classification success rate. The methodology is tested for constant deterioration and increasing noise and for random deterioration. For the random deterioration and nominal noise of 0.4%, in particular, the quantification success rate is above 92.0%, while the classification success rate is above 95.1%. Moreover, the speed of the data processing (1.7 s/sample) proves the suitability of this methodology for online diagnostics.     

基于MEMS工艺的爆炸箔芯片与高压开关研究现状

爆炸箔起爆器作为新型高安全性和高可靠性火工品,可广泛应用于武器系统的点火起爆、飞行器以及航天器的作动分离等诸多技术领域.从火工品的集成化、小型化以及低成本的发展趋势出发,介绍了南京理工大学微纳含能器件工信部重点实验室基于薄膜集成工艺、低温共烧陶瓷工艺以及印制电路板工艺开展的关于MEMS爆炸箔芯片和高压开关的研究现状.从...     

Miniaturized laser-induced plasma spectrometry for planetary in situ analysis – The case for Jupiter’s moon Europa

Jupiter’s icy moon Europa is one of most promising places in our Solar System where possible extraterrestrial life forms could exist either in the past or even presently. The Europa Lander mission, an exciting part of the international Europa Jupiter System Mission (EJSM/Laplace), considers in situ planetary exploration of the moon. The distance of Europa from the Earth and the Sun asks for autonomous analytical tools that maximize the scientific return at minimal resources, demanding new experimental concepts. We propose a novel instrument, based on the atomic spectroscopy of laser generated plasmas for the elemental analysis of Europa’s surface materials as far as it is in reach of the lander for example by a robotic arm or a mole, or just onboard the lander. The technique of laser-induced plasma spectrometry provides quantitative elemental analysis of all major and many trace elements. It is a fast technique, i.e. an analysis can be performed in a few seconds, which can be applied to many different types of material such as ice, dust or rocks and it does not require any sample preparation. The sensitivity is in the range of tens of ppm and high lateral resolution, down to 50 μm, is feasible. In addition, it provides the potential of depth profiling, up to 2 mm in rock material and up to a few cm in more transparent icy matrices. Key components of the instrument are presently developed in Germany for planetary in situ missions. This development program is accompanied by an in-depth methodical investigation of this technique under planetary environmental conditions.