应用技术卫星的远地点发动机总结报告

本报告记述了应用技术卫星(ATS)远地点发动机的设计、研制、鉴定和飞行试验。这一远地点发动机用来把 NASA 哥达特航天中心(GSFC)的 ATS 卫星从椭园轨道送入近同步轨道。总体对于燃烧过程中的推力向量和对燃烧前后的动平衡的要求都是很高、很严格的。所以研制阶段中主要问题是制造高精度部件。研制阶段试验中,安排了一系列试车,以进一步确定制造工艺,部件设计以及在模拟发射和宇宙空间环境条件下的发动机生存能力,并确定发动机的初步性能特性。鉴定试验由八发高空模拟试车组成,自旋速率100周/分,药温保持在.5℃或38℃,用来确定发动机准确的性能参数。     

平面磨削时表层质量过程监测参教的实验研究(1)——磨削表层金相组织状态及烧伤的过程监测和预报

磨削过程中零件表层物理特性如金相组织、表面残余应力、磨削烧伤等的过程监测是为确保零件制造质量的重要课题,但目前尚难于在生产过程中实现。 在平面磨床上进行大量磨削16MoCr5表面硬化钢的试验后发现,单位面积磨削功率P″_c与砂轮—工件接触区最高平均温度T_(max)间有极好的函数对应关系。而磨削表层金相组织状态和发生烧伤主要决定于接触区的温度,因而可以应用相对容易测量计算的单位面积磨削功率P″_c来识别这些状态。如果P″_c没有超过某一特定的临界值P″_(cⅠ)时,磨削表层保持正常的针状马氏体组织。在超过P″_(cⅠ)的情况下,切向磨削力的斜率增加,当P″_c又超过第二临界值P″_(cⅡ)后,磨削表面由于烧伤而出现了变色层,表层金相组织和显微硬度证实了工件的这些不同的情况。试验结果表明,单位面积磨削功率P″_c,可以作为磨削过程监测和预报表层金相组织状态和磨削烧伤的可靠的过程特征参量,在生产实践中应用。     

Attitude control of multi-spacecraft systems on SO(3) with stochastic links failure

In this paper, for Multi-Spacecraft System(MSS) with a directed communication topology link and a static virtual leader, a controller is proposed to realize attitude consensus and attitude stabilization with stochastic links failure and actuator saturation. First, an MSS attitude error model suitable for a directed topology link and with a static virtual leader based on SO(3) is derived, which considers that the attitude error on SO(3) cannot be defined based on algebraic subtraction. Then, we d...     

平流层上部负离子成分的直接测量和硫酸离子热化学分析

本文报道了在法国南部(44°N)上空进行的两次气球飞行实验的部分负离子成分探测结果.利用自然负离子谱计算了某些硫酸离子的热化学常数ΔG, ΔH和ΔS.讨论了上升段测量中气球表面放气造成的离子化学污染.      

磁层顶位置的卫星观测

本文用了自1963年到1979年卫星穿越磁层顶的1024个观测资料计算了向阳侧磁层顶椭球面的参数。企图从这些资料得出星际磁场和太阳风热压强对向阳侧磁层顶位置和形状的影响大小。但数值计算和理论分析都表明,目前所具有的观测资料的精度不足以获得星际磁场和太阳风热压强影响的数值。本文分析了各种因素所造成的在计算该椭球面参数时的不确定性。进而提出了对进一步工作的建议。该椭球面的平均大小、形状和方位的观测值与理论预计值是非常一致的。      

土星磁层顶的Kelvin-Helmholtz不稳定性和磁流体表面波

本文采用可压缩磁流体力学近似并选取Voyager-1的观测数据,讨论了土星磁层顶的Kelvin-Helmholtz不稳定性和磁流体表面波.计算表明,土星磁层随星体自转同磁鞘流之间的速度差,可以在地方时午前、中午和距中午不远的午后磁层顶激发不稳定性;午前和午后区有很强的非对称性.计算所得的波的特性与观测一致.      

航天器非平稳振动环境TVAR时频分析(英文)

Predicting the time-varying auto-spectral density of a spacecraft in high-altitude orbits requires an accurate model for the non-stationary random vibration signals with densely spaced modal frequency. The traditional time-varying algorithm limits prediction accuracy, thus affecting a number of operational decisions. To solve this problem, a time-varying auto regressive （TVAR） model based on the process neural network （PNN） and the empirical mode decomposition （EMD） is proposed. The time-varying system is tracked on-line by establishing a time-varying parameter model, and then the relevant parameter spectrum is obtained. Firstly, the EMD method is utilized to decompose the signal into several intrinsic mode functions （IMFs）. Then for each IMF, the PNN is established and the time-varying auto-spectral density is obtained. Finally, the time-frequency distribution of the signals can be reconstructed by linear superposition. The simulation and the analytical results from an example demonstrate that this approach possesses simplicity, effectiveness, and feasibility, as well as higher frequency resolution.     

Acoustic measurements of models of military style supersonic nozzle jets

Modern military aircraft jet engines are designed with variable-geometry nozzles to provide optimal thrust in different operating conditions, depending on the flight envelope. How- ever, acoustic measurements for such nozzles are scarce, due to the cost involved in making full- scale measurements and the lack of details about the exact geometries of these nozzles. Thus the present effort at Pennsylvania State University （PSU） in partnership with GE Aviation and the NASA Glenn Research Center is aiming to study and characterize the acoustic field produced by supersonic jets issuing from converging-diverging military style nozzles, and to identify and test promising noise reduction techniques. An equally important objective is to develop methodology for using data obtained from small- and moderate-scale experiments to reliably predict the full-scale engine noise. The experimental results presented show reasonable agreement between small-scale and medium-scale jets, as well as between heated jets and heat-simulated ones.     

Large eddy simulation of turbulent diffusion flame combustion using a conserved scalar methodology

The present paper describes an LES prediction of turbulent diffusion flame combustion in a simplified axi-symmetric combustor geometry.The calculations are carried out using a well-tested finite volume incompressible LES code which has been modified to handle variable density and reacting flows.The basic mixture fraction conserved scalar method is used with the chemical state relationships described by fast chemistry.The turbulence-chemistry interaction is modelled by a sub-grid PDF method and the PDF is assumed to follow a Beta-function shape.The LES predictions have been time-averaged over 3.5 flow-through times to generate the mean radial profiles of mixture fraction,product mass fraction,temperature,axial velocity and axial rms.The agreement of the LES predictions with the experimental data is good for all the above quantities at four different axial positions with largest differences at the first measurement plane.The LES method also provides information on the unsteady nature of turbulent diffusion combustion. For turbulent reacting flows with large density ratio,it was found necessary to use a relaxation method in order to remove unphysical high-frequency fluctuations and to maintain numerical stability.