三维侧面突扩燃烧室冷态气流场的数值模拟

本文对四侧30°进气并带有进气管道和尾喷口的突扩燃烧室冷态气流场进行了数值模拟.对这种复杂非规则边界的计算区域,首次采用分段算法进行计算.结果表明:分段算法可以提高网络利用率,缩短机时,消除虚假扩散,提高计算准确度,计算结果与试验结果基本符合.     

切削加工的发展趋势

从加工技术和机床技术两个方面介绍了切削加工领域的先进技术和发展趋势。描述了高速切削技术的现状,直线电机的应用,高效环保切削加工,机床的并联机构及相关的测量控制系统。     

三维整体编织碳/酚醛复合材料烧蚀表面状态测试与分析

为了更好地研究三维整体纺织碳／酚醛复合材料的成型工艺对材料烧蚀性能的影响，选用不同纤维体积分数和不同编织结构的碳／酚碳复合材料试样，进行烧蚀试验，利用TalyScan150型表面粗糙度测试仪对试样烧蚀后的表面进行测试，并采用多种分析方法对测试结果进行分析。从分析结果可以看出三维四向结构的碳／酚醛复合材料随着纤维体积分数的增加，烧蚀性能变好，较低纤维体积分数（50％）的三维五向结构碳／酚醛复合材料具有较好的烧蚀性能。     

RFI用环氧树脂固化动力学研究

用DSC研究了RFI工艺用环氧树脂的固化过程,研究表明：该固化反应较复杂,其反应动力学方程为dα/dt=2.27×10^4exp（-4764.65/T）（1-α）^0.861.为RFI用环氧树脂固化工艺的确定提供了理论依据.     

Investigation of corona initiation voltage at reduced pressures

The results of an experimental study of the 60 Hz ac corona inception voltage at reduced pressures for a cylindrical conductor and a parallel ground plane are presented. Several spacings and bare and insulated conductors of several diameters are considered. Empirical expressions from which a reasonably accurate prediction of the corona inception voltage (CIV) may be made have been inferred from experimental data     

基元事件分析法

航空事故的发生是航空系统存在缺陷的反映。为了发现、分析系统的缺陷，人们发展了一些事故分析统计方法。“基元事件分析法”不仅分析了事故的原因，而且指出了预防这类事故的办法，文章论述了该方法的结构特点，给出了部分事故的分析统计结果     

湍流型动态畸变下涡喷发动机稳定性分析

对湍流型动态畸变进气流场进行了分析和描述，给出了随机涡在压气机进口所产生的总压脉动的通用分布曲线，并统计地分析和预测了该总压脉动引起的最可能最大失速裕度损失。数值分析表明在考虑压气机对非定常流响应方面，最为关心的压气机最大失速裕度损失值是脉动压力的均方根值、功率谱密度、压气机进口转子弦长和转速的函数。     

跨音速压气机动静叶排相干的三维非定常流动数值分析

采用时空二阶精度ＮＮＤ显式差分格式求解三维Ｅｕｌｅｒ方程，对跨音速压气机级中动静叶排相干形成的非定常流动进行了数值分析。除动静叶排流动的控制方程体系、数值方法外，着重讨论了动静叶排计算域、网格以及边界条件的处理。对某压气机第１级动静叶排相干的非定常流场的计算，给出了叶片表面的马赫数分布、压力波动幅值，以及叶片槽道中瞬态密度等值线等，并分析了结果的合理性。     

用FoxBase实现超文本多媒体技术飞机主客仓空调故障诊断系统

本文通过一个应用系统的编制过程，阐述了用数据库技术实现超文本多媒体技术的方法。     

Tracking in clutter with nearest neighbor filters: analysis andperformance

The measurement that is “closest” to the predicted target measurement is known as the “nearest neighbor” (NN) measurement in tracking. A common method currently in wide use for tracking in clutter is the so-called NN filter, which uses only the NN measurement as if it were the true one. The purpose of this work is two fold. First, the following theoretical results are derived: the a priori probabilities of all three data association events (updates with correct measurement, with incorrect measurement, and no update), the probability density functions (pdfs) of the NN measurement conditioned on the association events, and the one-step-ahead prediction of the matrix mean square error (MSE) conditioned on the association events. Secondly, a technique for prediction without recourse to expensive Monte Carlo simulations of the performance of tracking in clutter with the NN filter is presented. It can quantify the dynamic process of tracking divergence as well as the steady-state performance. The technique is a new development along the line of the recently developed general approach to the performance prediction of algorithm with both continuous and discrete uncertainties