湍流场特性对燃烧室温度场的作用

本文给出了湍流燃烧室的数值模拟。通过改变燃气和空气进入燃烧室的速度和方向,改变燃烧室内的湍流场特性。由此产生的化学反应速率的改变给出理想的燃烧室温度场,使得燃烧室长度减小,且出口处温度场均匀。     

受力刚体拉杆支撑强度与刚度计算

本文对受力刚体应用拉杆支撑的结构进行强度、刚度和自振频率力学进行性能计算,并给出了其计算所依据的应用。     

复合材料疲劳定寿方法研究

本文回顾了复合材料疲劳可靠性的发展历程,重点报告了复合材料疲劳可靠性最新厂家成果;复合材料疲劳损伤形成与损伤扩展的两阶段论,这一理论更新了传统采用的单一疲劳损伤全过程。     

某型发动机在线清洗喷射架 强度计算与振动分析

为研究喷射架强度以及振动特性,确保从飞机进气道唇口安装清洗喷射装置进行发动机清洗时的可靠性,避免喷射装置和飞机共振,文章利用有限元数值仿真对喷射架进行了结构静力强度和模态计算分析,得到喷射架10阶振型及固有频率,喷射架结构强度满足要求。进行了发动机进气道唇口测振分析,得到发动机在冷运转状态下,相应进气道唇口测振频谱值。设计进行了模拟环境振动验证试验,得出结论:喷射架固有频率与冷运转状态下发动机进气道唇口振动频率没有耦合,发动机冷运转状态下的飞机进气道唇口振动不会损坏喷射装置,也不会对在线清洗造成影响。     

基于多体系统理论的数控机床综合误差建模技术

误差补偿是进一步提高机床精度的重要途径,真实准确的误差模型对最终的误差补偿的效果起着决定性的作用.采用基于多体系统理论的建模方法,对机床拓扑结构、机床的误差元素和坐标系之间的变换矩阵进行充分分析,建立了特定数控机床的综合误差模型,为后期实施对特定机床的实时误差补偿提供了误差计算依据.     

大型复合材料箱体成型模具设计

为了制造合格的大型复合材料箱体,本文制定了箱体成型模具的设计和制造方案.某复合材料箱体属于大型长轴类产品,其成型模具挠曲变形及脱模力大.模具主体采用通长轴、周向辐板、轴向筋板和蒙皮组合的结构形式.模具通过无缝钢管、模具骨架及蒙皮形成的三维网状结构有效保证模具刚度,通过带斜度工作平面及变圆角设计大大降低脱模力,通过在顶出...     

Haynes 282新型高温合金晶粒长大行为及数学模型研究

为了研究新型合金在高温状态下的晶粒长大行为,进行了Haynes 282合金在973～1 373 K条件下保温0～10 800 s的晶粒长大实验,通过实验分析了保温时间和保温温度对其晶粒尺寸的影响,研究了晶粒尺寸在其实验条件下的演变规律。由此构建了符合Haynes 282合金晶粒长大的数学模型,该模型的建立能够有效表征Haynes 282合金在高温下的晶粒长大行为。     

A variational Bayesian-based robust adaptive filtering for precise point positioning using undifferenced and uncombined observations

In the application of precise point positioning (PPP), especially in the dynamic mode, the classical Kalman filter (KF) usually produces a large number of estimation errors or diverges when there are gross errors in the observation data or unexpected turbulences occur in target motion state or both of them. For such problem, a variational Bayesian (VB)-based robust adaptive Kalman filtering (VB-RAKF) is proposed in this paper. This filter introduces a classification robust equivalent weight function to resist observation gross error and the inverse Wishart prior to model inaccurate process noise covariance matrix (PNCM). To improve the instantaneous accuracy of state estimation, the VB approach is used to obtain better estimations of inaccurate PNCM. Several sets of observation data collected by IGS reference stations and vehicles are employed to check the robustness and positioning accuracy of the VB-RAKF model. The results show that the VB-RAKF algorithm is more robust than the KF, and can effectively resist the gross error in observation data and control state disturbance. In the IGS reference station tests, when compared to the KF, the static positioning accuracies of the VB-RAKF in the north, east and up directions are improved by 13%, 8% and 22%, respectively, and the simulated dynamic positioning accuracies of the VB-RAKF in the north, east and up directions are improved by 19%, 9% and 21%, respectively. The in-vehicle dynamic test verifies that the VB-RAKF outperforms the KF, and shows that the VB-RAKF has better performance than the KF when dealing with observation data which has obvious gross errors, and similar performance as the KF when gross errors are small.