低地板城市客车平顺性仿真研究

根据随机振动理论,本文建立了低地板城市客车的七自由度整车动力学系统模型,对车辆的振动响应进行了频域分析。并结合当前最新的车辆乘坐舒适性评价标准ISO2631-1:1997(E),以“综合振动舒适度”为行驶平顺性评价指标,通过设置不同车速及车辆上不同位置的权值,来考虑整车的行驶平顺性。且探讨了前、后悬架的刚度与阻尼对综合振动舒适度的影响,计算出最佳的阻尼参数,从而提高了客车的行驶平顺性。其所开发的计算程序,可用于同类车型的行驶平顺性评价或预测。     

现代战机空战对策建模研究

分析了现代战机空战的种类,着重讨论了单机单目标空战对策的建模问题,分别从二维和三维的角度描述了空战双方的几何关系并建立了飞行器相对运动模型.在此基础上,针对单机单目标空战可能出现的两种情况,建立了追-逃微分对策模型和双目标对策模型.     

卫星成本预测的一种动态建模结构

首先从卫星成本预测的决策对象分析入手，研究了卫星工程和卫星成本的结构，同时进一步分析阐述了卫星成本预测的发展状况，在此基础之上，把在其它领域应用较为广泛而且成熟的动态建模的思想及技术引入到了卫星成本预测模型之中，并结合卫星自身特点，对适合于卫星领域成本预测的动态模结构进行了研究与分析，获得了一种动态建模结构。     

空地一体化技术在IFTD试飞中的应用

发动机表明符合性试飞科目飞行中推力确定（In Flight Thrust Determination, 简称IFTD）试验点多、耗时长、费用高。为提升试飞架次效率和地面监控力度,降低架次成本,基于FLIGHTLAB软件开发了面向物理的空地一体化仿真模型系统,并采用卡尔曼滤波和遗传算法对模型输入数据进行了实时处理和动态优选,最后基于QT开发了空地对比监控界面在某型号IFTD试飞中进行了应用。经验证,所建空地一体化仿真模型能够有效对某型号的发动机运行和动力学响应进行模拟,发动机各项参数的平均误差约为3%,采用的数据实时处理和动态优选算法能够良好地匹配空地一体化仿真模型系统,使系统有效运行,在IFTD试飞中,仅两个架次就为试飞节约燃油约3 t;本次应用表明,空地一体化技术,在飞行前能够为试验点可达性分析和试验点优选构型分析提供支持,在飞行中为试飞监控减轻负担。     

航空发动机轴承腔热分析软件开发

为了对航空发动机轴承腔进行性能分析,研究了一种全新的、高效的发动机轴承腔热分析软件。软件以热网络算法为基础,将发动机轴承腔分解成由相应的典型元件和节点组成的热网络,采用温度节点和传热元件组成的网络来描述轴承腔。介绍了基于面向对象程序设计语言Delphi技术的发动机轴承腔热分析软件的设计与开发技术。软件前台采用图形建模方式生成计算网络,后台采用了网络自动识别技术,方便了复杂网络的建立,并结合Delphi,建立了一个以桌面数据库为支撑的可视化应用系统体系。     

Effects of FDM-3D printing parameters on mechanical properties and microstructure of CF/PEEK and GF/PEEK

Fused deposition modeling (FDM) has unique advantages in the rapid prototyping of thermoplastics which have been developed in diverse fields. However, although great efforts have been made to optimize FDM process, the mechanical properties of printed parts are limited by the weak interlamination bonding as well as the poor performance of raw filaments used, such as acrylonitrile butadiene styrene (ABS), polylactic acid (PLA). Adding fibers into thermoplastic matrix and preparing high-performance filaments have been indicated to enhance the properties of fabricated parts. Recently, heat-resistant polyetheretherketone (PEEK) and its fiber reinforced composites were proposed for FDM process due to overcoming the limitation of equipment and process. However, few researches have been reported on the effects of FDM-3D printing parameters on the mechanical properties of fiber reinforced PEEK composites. Therefore, 5wt% carbon fiber (CF) and glass fiber (GF) reinforced PEEK composite filaments were prepared respectively in this study. The effects of various printing parameters including nozzle temperature, platform temperature, printing speed and layer thickness on the mechanical properties (including tensile strength, flexural strength and impact strength) were surveyed. To analyze the microstructure and failure reasons of printed CF/PEEK and GF/PEEK samples, the tensile fractured surfaces were investigated via scanning electron microscope (SEM).     

非车载充电机仿真建模

在阐述电动汽车非车载充电机的基本结构的基础上,根据非车载充电机的基本原理,针对不可控整流型非车载充电机,分析高频隔离式DC/DC变换器和充电机的控制电路,在Matlab-Simulink的平台上进行建模,对相关参数进行仿真,并对其注入电网和输出充电的电能进行评估。     

异常传播网络静态建模方法及特性分析

异常传播现象已经成为软件开发者在异常处理过程中必须要考虑的主要问题之一.以往研究者更多关注于异常传播路径以及异常抛出的根源,而忽略异常传播结构的网络化特征.通过定义异常传播过程中方法之间的异常传递关系对异常传播结构进行网络化建模,提出了异常传播网络模型.通过对5个开源软件包的异常传播网络进行度分布、传播异常类型层次分布、聚集系数和平均最短路径等网络特征的分析发现:异常传播网络的出度和入度基本服从幂律分布;异常传播过程几乎都与"不要传播抽象异常"原则相违背;由于异常传播过程的"弱边界性",异常传播网络并没有传统软件的高内聚特征.上述分析成果可以为软件开发者在设计异常处理过程时提供指导和建议.     

使用Gao-Yong湍流方程计算翼体角偶流动

Gao-Yong湍流方程基于侧偏统计平均方法保留了湍流脉动量的一阶统计信息,并引入加权漂移速度对称性及正交各向异性,导出漂移流连续方程、动量方程和机械能方程,最后依据湍流物理的唯象论,使用动量传输链概念模化封闭了整个方程组.大量算例验证了此方程对广泛范围的复杂湍流问题的适定性.为了进一步的工程应用,将其加入开源计算流体力学软件OpenFOAM(Open Field Operation and Manipulation)中,并就翼体角偶流动进行了数值模拟.翼体角偶流动具有三维分离、马蹄涡等十分复杂的流动特征,通过与实验测量结果的对比研究表明,Gao-Yong湍流方程不论在定性还是定量上,都成功捕捉到这类复杂流动现象的主要特征,得到了令人满意的结果.     

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.