光学经纬仪一测回水平方向标准偏差测量不确定度评定

分析了检定光学经纬仪“一测回水平方向标准偏差”的误差来源，并确定了它的合成标准不确定度和扩展不确定度。     

4211环氧树脂体系性能研究

对4211环氧树脂体系的化学性能和物理性能进行系统的研究,通过差示扫描量热仪(DSC)测试固化反应特性,利用流变仪分析成型工艺特性,通过动态热机械分析(DMA)研究树脂体系在不同固化工艺下的耐热性能,并通过力学试验机测试固化后树脂体系的力学性能.结果表明:4211环氧树脂体系具有较好的工艺性,固化物具有较高的耐热性能,表现为刚脆特性,断裂伸长率为1.1％;与M40高模量碳纤维的匹配性较好.     

航空电子产品工艺成熟度评价方法研究

针对航空电子产品没有系统的工艺成熟度评价途径的问题,提出了一种三个维度的工艺成熟度评价模型,将工艺成熟度分为工艺过程域、能力域和条件域,初步形成了对工艺成熟度进行综合评价的方法,通过对各个要素进行综合评判,获得科学合理的产品工艺成熟度评价等级,并制定工艺技术改进和提升计划。     

一种基于一致性理论的卫星协同自主探测方法

为了提高天基空间碎片探测系统对空间碎片探测能力,研究了一种基于一致性理论的卫星协同自主探测方法,对系统中的卫星进行协同控制,从而实现对空间碎片进行最长时间的持续跟踪探测。探测星座利用招投标机制选取探测效果最好的卫星,空间碎片周围的卫星载荷再利用一致性理论,协同自主地指向空间碎片,以实现探测星座对空间碎片连续跟踪。仿真结果说明了该方法的有效性,1d内探测星座对典型空间碎片的最大连续观测时间由协同前的 6 min提高到了协同后的 39 min,提高了约 5倍,总观测时间由协同前的 1.5 h提高到 13 h,提高了约 8倍。该方法提高了观测效能,可为天基空间碎片探测系统提供一种对空间碎片协同探测的技术途径。     

基于全三维模型的复合材料构件成型工艺设计系统研究

分析了复合材料构件数字化设计制造技术的发展状况,阐述了基于全三维模型的工艺设计系统的研究现状.针对复材构件成型工艺设计特点,研究了基于全三维模型的复材构件成型工艺设计系统构建技术,阐述了系统的主要功能和实现方法.在CATIA环境下开发了基于全三维模型的复材构件成型工艺设计系统,并通过多个构件的工艺设计对系统功能进行了验证.     

超重力下相变材料熔化过程的数值模拟

通过数值模拟的方法,研究了地球重力和超重力条件下相变材料(PCM)的熔化过程,分析了超重力对PCM熔化过程的影响。采用的超重力大小为5倍和10倍地球重力,方向与热流进入方向相反。模拟结果表明,由于PCM导热系数偏小,熔化初期加热面发生过热,须通过耦合其他强化换热措施予以减弱甚至消除。超重力对于PCM熔化过程的影响十分显著。随着超重力的增加,熔化界面的波动幅度增大,熔化速度加快,加热面温度下降,这是因为熔化过程中液相的自然对流作用显著增强。此外,超重力对PCM熔化过程的增强幅度会随超重力的增加而减小,表明超重力的强化换热作用有一定限度,当超过一定值时,该强化作用的效果相对减弱。     

Machining fixture for adaptive CNC machining process of near-net-shaped jet engine blade

Low stiffness and positioning problems are difficulties and challenges in the precise machining of near-net-shaped blades. This paper aims to achieve high accuracy in manufacturing by fixture- and deformation-control in the adaptive CNC machining process. Adaptive CNC machining technology is first analyzed, and new fixture-evaluation criteria and methods to evaluate the adaptive CNC machining process fixture design are built. Second, a machining fixture is designed and manufactured after analyzing its positioning scheme, clamping scheme, materials (PEEK-GF30), and structure characteristics. Finally, the designed fixture is analyzed by FEA and experimentally verified by a cutting experiment. The results show that the deformation of the blade is an overall rigid-body displacement, the main deformation of the blade-fixture system occurs on the four clamping heads, and this fixture can effectively protect the blade from local deformation. The proposed clamping-sequence method reliably and effectively controls the local maximum deformation of the blade. The system stiffness is increased by 20 Hz, with each clamping force increased by 200 N. Both high- and low-frequency displacement in roughing milling or finishing milling are acceptable relative to the accuracy demand of blade machining. This fixture and an adaptive CNC machining process can achieve high accuracy in blade manufacturing.     

净升力对临近空间浮空器上升航迹的影响分析

基于临近空间浮空器动力学与热力学耦合关系,研究分析上升过程飞行航迹与内部气体热性能。建立临近空间浮空器初始充气量模型、热模型和上升过程动力学模型,通过飞行试验验证了数学模型的准确性。仿真计算了某高空科学气球的上升航迹,得到了气球净升力对爆破高度、速度等飞行航迹性能参数的影响,分析了参数变化规律与变化原因。研究结果表明,随着净升力的增加,爆破高度迅速降低,而气球上升速度逐渐上升,且上升速度的增大比爆破高度的减小相对于净升力的变化更加敏感,表明气球的净升力对航迹性能参数存在重要影响。研究结果可为临近空间浮空器设计、试验和应用提供理论参考。     

基于极坐标的数控铣削手工编程零件加工

通过数控编程中直角坐标系与极坐标系的比较,分别介绍了在我国广泛使用的FANUC系统、SIEMENS系统以及国产华中数控系统的极坐标编程规定,针对用角度和长度尺寸给定的工件手工编程较难解决的问题,应用实例说明了基于极坐标进行手工编程加工零件的方法,从而简化了编程.     

Machining Error Control by Integrating Multivariate Statistical Process Control and Stream of Variations Methodology

For aircraft manufacturing industries, the analyses and prediction of part machining error during machining process are very important to control and improve part machining quality. In order to effectively control machining error, the method of integrating multivariate statistical process control (MSPC) and stream of variations (SoV) is proposed. Firstly, machining error is modeled by multi-operation approaches for part machining process. SoV is adopted to establish the mathematic model of the relationship between the error of upstream operations and the error of downstream operations. Here error sources not only include the influence of upstream operations but also include many of other error sources. The standard model and the predicted model about SoV are built respectively by whether the operation is done or not to satisfy different requests during part machining process. Secondly, the method of one-step ahead forecast error (OSFE) is used to eliminate autocorrelativity of the sample data from the SoV model, and the T2 control chart in MSPC is built to realize machining error detection according to the data characteristics of the above error model, which can judge whether the operation is out of control or not. If it is, then feedback is sent to the operations. The error model is modified by adjusting the operation out of control, and continually it is used to monitor operations. Finally, a machining instance containing two operations demonstrates the effectiveness of the machining error control method presented in this paper.