Radar detection of subsurface features on Mars

The structure of the pulse radar signal reflected from continuously changing layered Martian crust is investigated theoretically. As a simple model of stratigraphy, we considered one layer with electrodynamics’ parameters increasing or decreasing exponentially upon a depth laying on monolith base and covered by homogeneous layer. This exponential changing of electromagnetic properties of the layer is assumed due to exponential changing of porosity (or saturation) in the bedrocks with pores filled by seawater. The conditions of subsurface features resolution are obtained. It is shown that the sign and value for gradient of the electromagnetic properties change can be resolved from the reflection peaks trend. These results are important for subsurface detection of liquid water on Mars by orbit-based radars.     

表面结构的MOTIF参数表征

工程表面结构的粗糙度和波纹度之间一直没有明确的界限,而它们的产生原因及对零件表面性能的影响却是不同的.最近被国际标准所采纳的莫逖夫法(MOTIF)则提供了一种可供选择的分离未滤波轮廓的粗糙度和波度的新方法.对MOTIF法的基本概念、参数和表征方式作了初步的研究,并对几种传统的精加工方式加工的样块表面特征进行了描述.     

新型压电式粗糙度测量仪的研制

8587A 型表面粗糙度测量仪,是采用压电式传感器的多参数仪器。本文讨论有关实验及设计问题。随机轮廓图形实验,验证了压电传感器测得的波形能真实地复现表面特征的实际轮廓。长波传输特性实验提出了测定仪器长波传输特性的一种实用方法。仪器的设计采用组合式结构,控制及数据处理应用8031单片机。对压电传感器进行了改进,并研制了抗干扰电荷放大器及程控放大器,使仪器达到了设计要求。     

整体式固体火箭冲压发动机在面空导弹上的应用分析

整体式固体火箭冲压发动机在面空导弹上应用具有比冲高、质量轻、可全程主动攻击、使用维护方便、成本低等优点.而进一步提高发动机可用攻角、采用BTT技术、调节主级燃料流量和采用高能贫氧推进剂还可大幅度地提高以这种发动机为动力的导弹性能.     

Ag包覆弹性体微球的制备及其电性能

采用置换反应法和化学沉积法制备了微米级镀Ag丙烯酸酯橡胶（ACM）微球，研究了镀Ag导电弹性体微球的电性能。结果表明：置换反应法通过对微球基体先化学镀铜再置换镀Ag，能够得到镀层均匀致密、包覆完善的镀Ag弹性体微球；所制备镀Ag微球的体积电阻率随外加压力及温度的升高，均呈现规律性降低，并且不受热循环的影响，表明所制备的镀Ag导电弹性体微球具有一定的弹性、热膨胀性以及良好的热稳定性。     

基于神经网络的武器系统费用效能分析

简述了导弹武器系统的费用－ 效能分析的方法。研究了三层神经网络的结构及算法，提出了用神经网络理论来估算武器系统的费用和效能的方法。武器系统的费用和效能与武器特征参数的关系可通过神经网络的阈值和权值得到体现，通过实例作了说明，并进行了武器系统费用－ 效能分析，该方法比较可信。     

半主动寻的中程舰空导弹复合制导控制技术概述

介绍了采用垂直发射捷联惯导＋修正指令＋半主动寻的复合制导体制，并对所涉及的一系列制导与控制方面的技术关键及难点进行了讨论。     

电容传感器动态检测金属锡熔融液面的应用研究

在综述电容传感器工作原理和结构特点的基础上,依据传热学原理,提出了用陶瓷作为电容测微仪三层电极绝缘材料的新方法,提高了高频(4 MHz)平面变极间距型电容传感器在高温(700℃)环境下对于熔融态金属液面检测的灵敏度和准确度。通过对大量的动态试验测试数据的分析和计算,建立了电容传感器的输出信号与其相对锡液面的高度之间的对应关系。通过对电容传感器测试系统进行非线性补偿,解决了浮法玻璃在线CVD镀膜反应器相对于锡槽内高温熔融态锡液面位置在线测量的难题。测试结果表明,在熔融态金属锡液上方25 mm的有效量程内,动态测量的误差可达到±0.1 mm,系统工作可靠。     

Experimental research on electrochemical machining of titanium alloy Ti60 for a blisk

Ti60(Ti–5.6Al–4.8Sn–2Zr–1Mo–0.35Si–0.7Nd) is a high-temperature titanium alloy that is now used for important components of aircraft engines. Electrochemical machining(ECM) is a promising technique that has several advantages, such as a high machining rate, and can be used on a wide range of difficult-to-process materials. In this paper, orthogonal experiments are conducted to investigate ECM of Ti60, with the aim of determining the influences of some electrochemical process parameters on the surface roughness. The most important parameter is found to be the frequency of the pulsed power supply. It is found that using suitably optimized parameters for ECM can greatly decrease the surface roughness of a workpiece. A surface roughness of approximately 0.912 lm can be obtained with the following optimal parameters: Na Cl electrolyte concentration 13wt%, voltage20 V, pulse frequency 0.4 k Hz, duty cycle 0.3, temperature 23 °C, and anode feed rate 0.5 mm/min.Furthermore, blisk blades have been successfully processed using these optimized parameters.     

A physics-based framework for online surface roughness assessment for high-pressure turbines

Surface roughness is a critical health parameter of a turbine blade due to its implications on blade surface heat transfer and structural integrity. This paper proposes a physics-based online framework for Gas Turbine Engines (GTE), in order to assess the blade surface roughness in a high-pressure turbine without engine shutdown. The framework consolidates Gas Path Analysis (GPA) based performance monitoring models and meanline turbomachinery analysis, using a novel GPA-meanline matching process. This extracts meaningful performance deviation trends from GPA, while addressing the uncertainties associated with the measurements and modelling. To relate efficiency loss to surface roughness severity, a meanline-based system-identification process has been developed to establish the meanline representation of the turbine stage, and to incorporate the empirical surface roughness loss correlations. The roughness loss correlations have been evaluated against recent transonic test data in the literature. A modification to the compressibility correction factor has been made according to the evaluation outcome, which improved loss predictions compared to the experimental measurements. The framework was tested on the three-year operational data of a cogeneration GTE, and the results verified the framework's potential for online surface roughness monitoring. The predicted surface roughness showed agreement in both trend and the magnitude-level with the measurements reported in the literature.