Methane pyrolysis in preparation of pyrolytic carbon: Thermodynamic and kinetic analysis by density functional theory

The density functional theory has been successfully applied in analyzing pyrolytic carbon deposition by methane pyrolysis from the view of thermodynamics and kinetics based on a total number of 39 elementary reactions. M06-2X/def2-TZVP level was employed to optimize species structures and locate the transition states. The enthalpy changes and Gibbs free energy changes of all the reactions in the temperature range of 298.15–1800 K were derived with optimized species. Results show that the reacting temperature should be above 1200 K based on the equilibrium constant analysis, which is consistent with the typical reaction temperature adopted in experiments. Potential energy surface profiles report that radical attacking reactions have lower energy barriers than those direct decomposition reactions, especially hydrogen radical attacking reactions. The energy barriers of the first steps, dehydrogenations of methane and ethylene, are 272.4 kJ·mol⁻¹ and 288.9 kJ·mol⁻¹ at 1200 K, which are very close to the experimental activation energy for methane pyrolysis. The most favorable decomposition reaction path is the path of hydrogen radical attacking reactions. The highest energy barrier of the path at 1200 K is 185.7 kJ·mol⁻¹ presented by the C–H bond breaking in ethynyl attacked by hydrogen radical.     

A statistical study of C IV regions in 20 Oe-stars

In this paper, using the Gauss-Rotation model (GR model), we analyse the UV C IV resonance lines in the spectra of 20 Oe-stars of different spectral subtypes, in order to detect the structure of C IV region. We study the presence and behavior of absorption clouds and analyse their characteristics. From this analysis we can calculate the values of a group of physical parameters, such as the apparent rotational and radial velocities, the random velocities of the thermal motions of the ions, the Full Width at Half Maximum (FWHM), the optical depth, as well as the absorbed energy and the column density of the independent regions of matter, which produce the main and the satellite clouds of the studied spectral lines. Finally, we present the relations between these physical parameters and the spectral subtypes of the studied stars and we give our results about the structure of the C IV region in their atmosphere.     

高主流湍流度下密度比对涡轮导叶全气膜冷却特性的影响

为了研究高主流湍流度下二次流密度比对涡轮导叶全气膜冷却特性的影响,使用热色液晶测量了在主流湍流度为15%,二次流密度比为1.0和1.5下三维涡轮导叶的气膜冷却效率和换热系数。二次流与主流质量流量比为7.0%和12.5%。结果表明:二次流密度比增大可以降低冷气射流的动量,小流量比工况下,在叶片前缘和压力面前半段,动量较低的二次流在高主流湍流度的影响下更易耗散,增大二次流密度比使冷却效率明显降低;大流量比工况下,二次流动量降低使气膜孔后区域冷气贴附性增强,气膜冷却效率和冷气覆盖效果均得到提升。小流量比工况下,二次流密度比增大对叶片表面换热的影响较小;大流量比工况下,二次流密度比增大使吸力面中弦区域和压力面后半段的平均换热系数比分别降低15%和25%。     

丁羟弹性体的交联密度

简要介绍了丁羟弹性体交联密度的表征参数、实验方法及其在丁羟推进剂研究中的实际应用。     

管状三维四向织物编织密度均匀性分析

管状三维四向织物因形状的变化和不同截面编织时增减编织纱的不连续织物编织密度存在不均。本文分析了常用管状产品编织密度的主烨形和最大,最小密度位置,可为管状三上向织物的质量控制提供依据。     

航空机载谐振膜式密度传感器的研究

针对飞机飞行中燃油量的在线实时测量需求.设计了基于谐振原理的新型谐振膜式液体密度传感器.对谐振膜片进行了数学模型分析,并设计了基于数字闭环方法的谐振膜式密度传感器整体结构.试验结果表明,该传感器测量精度较高,稳定性较好,结构简单,便于加工,能满足航空煤油在线实时测量的需求.     

论赤道扩展F的密度不规则体(Ⅱ)

本文对等离子体中的电子和离子分别采用流体和动力论描述, 导出适于描述夜间赤道F层现象的若干非线性模型。由此证明赤道扩展F小尺度区域可存在大量偶极涡、孤子和孤子链等类型的密度不规则体。      

A simulation study on the mode conversion process from slow Z-mode to LO mode by the tunneling effect and variations of beaming angle

For a particular angle of incidence wave, it is possible for a slow Z-mode wave incident on an inhomogeneous plasma slab to be converted into an LO mode wave. But for another wave normal angle of the incident wave, it has been considered impossible, since an evanescence region exists between two mode branches. In this case we expect that the mode conversion takes place through the tunneling effect. We investigate the effect of the spatial scale of the density gradient on the mode conversion efficiency in an inhomogeneous plasma where the mode conversion can occur only by the tunneling effect. We use the computer simulation solving Maxwell’s equations and the motion of a cold electron fluid. By considering the steepness of the density gradient, the simulation results show the efficient mode conversion could be expected even in the case that the mismatch of the refractive indexes prevents the close coupling of plasma waves. Also, we show for these cases the beaming angle does not correspond to Jones’ formula. This effect leads to the angles larger and smaller than the angle estimated by the formula. This type of mode conversion process becomes important in a case where the different plasmas form a discontinuity at their contact boundary.     

Advanced ensemble modeling method for space object state prediction accounting for uncertainty in atmospheric density

For objects in the low Earth orbit region, uncertainty in atmospheric density estimation is an important source of orbit prediction error, which is critical for space traffic management activities such as the satellite conjunction analysis. This paper investigates the evolution of orbit error distribution in the presence of atmospheric density uncertainties, which are modeled using probabilistic machine learning techniques. The recently proposed “HASDM-ML,” “CHAMP-ML,” and “MSIS-UQ” machine learning models for density estimation (Licata and Mehta, 2022b; Licata et al., 2022b) are used in this work. The investigation is convoluted because of the spatial and temporal correlation of the atmospheric density values. We develop several Monte Carlo methods, each capturing a different spatiotemporal density correlation, to study the effects of density uncertainty on orbit uncertainty propagation. However, Monte Carlo analysis is computationally expensive, so a faster method based on the Kalman filtering technique for orbit uncertainty propagation is also explored. It is difficult to translate the uncertainty in atmospheric density to the uncertainty in orbital states under a standard extended Kalman filter or unscented Kalman filter framework. This work uses the so-called “consider covariance sigma point (CCSP)” filter that can account for the density uncertainties during orbit propagation. As a test-bed for validation purposes, a comparison between CCSP and Monte Carlo methods of orbit uncertainty propagation is carried out. Finally, using the HASDM-ML, CHAMP-ML, and MSIS-UQ density models, we propose an ensemble approach for orbit uncertainty quantification for four different space weather conditions.     

不同密度比球体入水空泡流体动力特性研究

基于实验与数值计算相结合的方法,针对不同密度比的疏水性球体开展了垂直入水空泡形态及水下流体动力特性研究。建立了基于高速摄像法的小型航行体入水实验系统,并进行了入水空泡高速录像观察。基于VOF方法和动网格技术建立了考虑表面润湿性的回转体入水数值模拟方法。通过与实验结果对比,验证了数值方法的准确性和有效性。基于对实验与数值结果的分析,总结了疏水性球体的入水空泡及水冠发展随密度比与入水冲击速度的变化规律,对比了不同密度比球体在水下空泡夹断前后的流体动力系数。结果表明:随着入水冲击速度的增加,球体动能加大,入水空泡和水冠尺度增大,并从准静态闭合空泡逐渐发展为深闭合及面闭合空泡,临界速度随着密度比的增加而减小。此外,空泡夹断后会形成上下两股高速射流,射流的进一步运动加速了水面及球体附近空泡的溃灭。在流体动力特性方面,球体带空泡航行阶段的时均流体动力系数随密度比的增加而减小,而随入水冲击速度的变化较小,同时空泡夹断会造成流体动力较大波动。