Aermet100钢制坯工艺对微观组织和力学性能的影响

针对Aermet100钢研究了大规格棒材锻造工艺对微观组织和力学性能的影响.研究结果表明:细化锻造过程的晶粒度有利于获得较高的断裂韧度.细化晶粒度的途径主要有锻造加工温度控制在再结晶区间和增大总变形比.Aermet 100钢锻造温度区间应控制在950～1100℃之间进行,终锻温度控制在950～1000℃;总变形比之和应大于20.     

小型二冲程汽油机缸体气口尺寸的确定及其对整机性能的影响

本文以一种典型小型二冲程汽油机为例，介绍了缸体气口尺寸的确定方法，并通过发动机台架试验的结果分析气口尺寸、形状、气道质量对整机性能的重要影响。为进一步提高产品质量，提供了可靠的依据。     

ICP算法在地磁辅助导航中的应用

利用地磁信息进行辅助导航是组合导航技术研究的新方向。文中对地磁辅助导航的原理和发展现状进行了介绍,并在分析地磁特征的基础上,研究了利用地磁异常特征进行ICP匹配定位的方法。根据应用环境,对ICP算法进行了以下改进:首先,受模拟退火法的启发,提出采用扇形扫描法搜索最优匹配,推动ICP算法向全局最优迭代;其次,结合RANSAC法,有效地剔除了地磁测量中的野值点,提高了算法的鲁棒性。仿真结果证实了改进算法的良好性能。     

Use of Optical Characteristics to Identify Orbiting Material

Knowledge of the observable properties of orbital debris is necessary to validate debris models for both the low Earth orbit (LEO) and the geosynchronous Earth orbit (GEO). Current methods determine the size and mass of orbital debris based on knowledge or assumption of the material type of the piece. Improvement in the knowledge of material is the goal of the research described herein. The process of using spectral absorption features to determine the material type is explored. A review of the optical measurements of orbital debris as well as current research in the area is discussed. Reflectances of common spacecraft materials are compared. The need for, and advances made possible by obtaining real data are explored. The prospects of the venture are investigated.     

多环小步进频综杂散分析与设计

对多环混频锁相式小步进频综的杂散和相噪等关键指标进行理论分析,对杂散规律、杂散电平及杂散频率给出简单、有效的工程数学方法。在此基础上设计实现S/C频段宽带小步进高性能频综,带宽分别为500MHz/1300MHz,杂散电平<-75dBc。     

热固性树脂浇注体试样的制备

介绍了６４８＃环氧树脂／ＢＦ３ＭＥＡ体系树脂浇注体的制备方法，讨论了固化剂的加入方法、模具尺寸和脱泡温度对试样制备质量的影响。发现固化剂融熔后加入树脂中经１００°Ｃ真空脱泡４５ｍｉｎ，再浇注固化，试样的制备质量最好。研究还发现，模具尺寸设计不合理，可能导致试样在冷却阶段发生在长度方向的收缩受阻，导致试样在模具中断裂，因此模腔尺寸设计应合理。     

民族文化视角下汉英语言句法特色差异赏析

语言是较为稳定的民族特征之一,每一种语言都折射出各自民族深层的思维方式和审美情趣,反映出它赖以生存的文化母体的民族性.语言的民族性体现在语言系统的各个层面,语言句法形态就是其中的一个重要层面,而历经时空考验的名人名言和名篇精品是各自语言句法特色的精髓,充分展示出民族文化差异在各自语言上烙下的层层印迹.     

Variation of rain drop size distribution with rain rate at a few coastal and high altitude stations in southern peninsular India

Rain drop size distribution (DSD) was measured at four places in Southern India {Thiruvananthapuram, Kochi, Munnar and Sriharikota (SHAR)} using a Joss–Waldvogel (JW) impact type disdrometer. The data for each minute were corrected for dead time errors and rain rate was computed from the corrected data. The data for a whole month were then sorted according to rain rate (R) into several classes ranging from 0.1 to >100 mm/h. The average DSD in each class was computed, and the lognormal distribution function was fitted to the average. In all the cases, the function fitted the data very well. The fit parameters were found to have dependence on rain rate. The total number of drops (N_T), the geometric mean diameter (D_g) and the standard geometric deviation (σ) were also computed from the fit parameters. The standard geometric deviation (σ) was found to be more or less constant with rain rate at all the sites and in all months. The other two parameters (N_T and D_g) were found to vary exponentially with rain rate except in Munnar, a high altitude station. At Thiruvananthapuram, in most of the months, N_T increased exponentially with rain rate up to some value of R, which was different in different months, and then remained more or less constant or decrease slightly. In all cases, the variation of N_T and D_g was such that N_TD_g³ increased linearly with rain rate.     

突发通信系统中的OFDM同步技术研究

在突发通信中,要求系统的同步能够达到快速准确,以便通信的顺利进行。文章针对应用于突发系统中的OFDM的同步问题做了深入研究,分析了系统中主要存在的三种同步:符号同步、样值同步以及载波同步的原理,并给出了具体实现算法。仿真结果表明,所给出的方案是可行的。     

基于神经网络的飞行科目模板样本集建立方法

为建立某一飞行科目的模板样本集,提出一套基于神经网络和卡尔曼滤波的数据处理方法。任选一次试飞样本,建立Kohonen自组织神经网络进行参数降维、聚类分析、特征提取等,使样本量缩减90%以上,得到该科目的模板样本集。用处理后的样本训练BP神经网络,对其他未经处理的试飞样本进行载荷预测,误差均在3%之内,说明处理后的样本能代表该科目的数据特点,即为模板样本集。方法可以为飞机载荷监控数据库的完善工作服务。