The Plasma Environment of Comet 67P/Churyumov-Gerasimenko Throughout the Rosetta Main Mission

The plasma environment of comet 67P/Churyumov-Gerasimenko, the Rosetta mission target comet, is explored over a range of heliocentric distances throughout the mission: 3.25 AU (Rosetta instruments on), 2.7 AU (Lander down), 2.0 AU, and 1.3 AU (perihelion). Because of the large range of gas production rates, we have used both a fluid-based magnetohydrodynamic (MHD) model as well as a semi-kinetic hybrid particle model to study the plasma distribution. We describe the variation in plasma environs over the mission as well as the differences between the two modeling approaches under different conditions. In addition, we present results from a field aligned, two-stream transport electron model of the suprathermal electron flux when the comet is near perihelion.     

目标电磁散射特性的混合法研究

从Ｓｔｒａｔｔｏｎ－Ｃｈｕ公式出发，利用阻抗边界条件，得出阻抗边界条件积分方程，将目标表面分成不同的区域，有些区域用高频解析方法求出其表面电流，有些区域利用矩量法解阻抗边界条件积分方程得表面电流。本文以橄榄体（包括介质涂敷情形）为例，计算其电磁散射特性，混合法计算结果与实测结果或其他方法的计算结果比较吻合。     

改进力控方案完成异形孔装配

讨论了改进的力／位混合控制方案、异形孔装配策略规划及其在ＪＲＢ－１机器人上的实现。简述了该方案的优点，在ＪＲＢ－１机器人上实现所解决的问题，提出用适应性增益解决力控环稳定问题。文中还结合异形孔装配给出了装配任务的描述和装配策略的自动生成方法。     

有限元动力模型优化的一种方法

本文研究以振动试验测得的飞机结构的固有频率为目标值的有限元动力模型的优化问题。应用了一种迭代优化法,该方法基于动力平衡方程以及正交性。通过修改刚度矩阵的元素来优化,使计算出的固有频率与试验测得的频率值基本一致,并成功地应用于无人机水平尾翼模型上,效果良好。     

采用逐次正交化法的最优分布式Kalman滤波器

为解决大系统中应用整体式Kalman滤波遇到的非实时性难题,本文提出一种能保持最优的分布式Kalman滤波计算方法——逐次正交化法。这是一种适合多微机并行计算的最优算法,确保滤波的“实时性”,优于一般次优分布式Kalman滤波器。     

羊毛精纺织物服用性能优选的多属性模糊决策

本文应用多属性目标决策的方法,评判不同规格毛织面料的"满意度",客观地提供一个重要的优选辅助依据。     

双层多目标规划若干问题的研究

研究了下层决策者无关联的双层多目标规划问题，在不同偏好意义下，给出了各自解的定义，讨论了线性双层多目标规划问题。     

结构优化中的混合变量应力约束近似方法

提出一种处理结构优化应力约束的新近似方法，以往一般直接对应力约束按设计变量近似，本文用近似内力间接近似应力约束以得到更高的近似质量，根据对内力和设计变量关系分析，提出了内力按混合变量一阶泰勒展开的高捏近似方法。近似优化问题用约束变尺度法求解，最后按出了几个典型例题。结果表明该方法简单，有效，可靠。     

基于参数化模型和遗传算法的复合材料加筋壁板结构选型优化研究

针对复合材料加筋壁板的结构优化选型问题,采用辅助层压板和添加极小弹性模量材料的复合材料加筋壁板有限元建模方法,应用PATRAN/NASTRAN的参数化建模功能和遗传算法相结合的复合材料加筋壁板的优化方法,对5种复合材料结构形式进行了从2000N/mm到6000N/mm压缩载荷下的结构优化分析。结果表明,当载荷小于4500N/mm时,最有效的加筋壁板结构型式为J型;当压缩载荷大于4500N/mm时,最有效的加筋壁板结构型式为I型。     

Influence of TiB2 particles on machinability and machining parameter optimization of TiB2/Al MMCs

In situ formed TiB₂ particle reinforced aluminum matrix composites (TiB₂/Al MMCs) have some extraordinary properties which make them be a promising material for high performance aero-engine blade. Due to the influence of TiB₂ particles, the machinability is still a problem which restricts the application of TiB₂/Al MMCs. In order to meet the industrial requirements, the influence of TiB₂ particles on the machinability of TiB₂/Al MMCs was investigated experimentally. Moreover, the optimal machining conditions for this kind of MMCs were investigated in this study. The major conclusions are: (1) the machining force of TiB₂/Al MMCs is bigger than that of non-reinforced alloy and mainly controlled by feed rate; (2) the residual stress of TiB₂/Al MMCs is compressive while that of non-reinforced alloy is nearly neutral; (3) the surface roughness of TiB₂/Al MMCs is smaller than that of non-reinforced alloy under the same cutting speed, but reverse result was observed when the feed rate increased; (4) a multi-objective optimization model for surface roughness and material removal rate (MRR) was established, and a set of optimal parameter combinations of the machining was obtained. The results show a great difference from SiC particle reinforced MMCs and provide a useful guide for a better control of machining process of this material.