Design of a canard configured TransCruiser using CEASIOM

CEASIOM is a multidisciplinary software environment for aircraft design that has been developed as part of the European Framework 6 SimSAC project. It closely integrates discipline-specific tools such as those used for CAD, grid generation, CFD, stability analysis and control system design. The environment allows the user to take an initial design from geometry definition and aerodynamics generation through to full six degrees of freedom simulation and analysis. Key capabilities include variable fidelity aerodynamics tools and aeroelasticity modules. The purpose of this paper is to demonstrate the potential of CEASIOM by presenting the results of a Design, Simulate and Evaluate (DSE) exercise applied to a novel, project specific, transonic cruiser configuration called the TCR. The baseline TCR configuration is first defined using conventional methods, which is then refined and improved within the CEASIOM software environment. A wind tunnel model of this final configuration was then constructed, tested and used to verify the results generated using CEASIOM.     

基于可靠性的飞机风挡抗鸟撞优化设计

传统的飞机风挡设计通常在确定的工况下进行,未能充分考虑实际鸟撞风挡过程中不确定性因素的影响,导致飞机鸟撞风挡的故障多发。综合考虑鸟撞飞机风挡过程中鸟体材料参数、质量、撞击速度等不确定因素的影响,以飞机风挡抗鸟撞的可靠度为约束,风挡质量为目标,基于双循环方法和近似技术建立了风挡抗鸟撞可靠性优化设计系统,利用一阶矩法进行可靠性分析,对某飞机风挡进行了基于可靠性的优化设计。实例分析证明所建风挡抗鸟撞可靠性优化设计系统可行有效。     

CFM56-7B发动机起动机失效模式分析

通过对CFM56-7B发动机起动机几种主要失效模式的分析,探讨了有效预防起动机失效的方法,以降低航班延误率。     

气体静压轴颈-止推串接型轴承静特性的分析

采用有限元方法研究了狭缝节流气体静压轴颈-止推串接型轴承的静态特性,分析了节流狭缝宽度和气膜厚度等因素对径向和轴向承载性能的影响,研究了三棱形圆度误差对径向和轴向承载能力的影响, 揭示了轴颈轴承部分和止推轴承部分之间的相互影响规律,并且研究了当有误差存在时轴承内部气膜压力分布的规律。     

旋转对内冷通道气膜孔流量系数的影响

为了获得涡轮叶片旋转时对气膜孔流量系数的影响,采用非结构化网格及标准k-ε紊流模型,求解三维N-S方程,对带90°肋和气膜孔出流的旋转矩形通道内的三维流场进行了数值模拟,气动参数变化范围是:通道入口雷诺数Re=60000,150000,罗斯贝数Ro=0,0.11,0.22,气膜孔总出流比为0.22和0.09。Ro≠0时,旋转效应对气膜孔流量系数有明显影响,通道顺时针旋转时,科氏力由上壁面指向带气膜孔的下壁面,引起流量系数增加;通道逆时针旋转时,情况相反。计算结果还表明,在通道内同一径向位置处的两个气膜孔的流量系数是不同的,通道顺时针旋转时,进入左侧孔的流体和气膜孔轴线的夹角小于进入右侧孔的流体和气膜孔轴线的夹角,导致左侧孔的流量系数大于右侧孔的流量系数;通道逆时针旋转时,情况相反。Ro=0时的计算结果与实验数据符合很好。     

Design and optimization of a novel electrically controlled high pressure fuel injection system for heavy fuel aircraft piston engine

The heavy fuel compression ignition engines are widely equipped as aircraft piston engines. The fuel injection system is one of the key technologies that determines the performance of engine. One of the main challenges is to precisely control the injected fuel quantity and flow rate in the presence of pressure fluctuation. This challenge is even more serious for heavy fuel. An original design for electrically controlled high pressure fuel injection system called Multi-Pumppressure-reservoirs fuel injection System(MPS) was demonstrated to reduce the pressure fluctuation and help keep injection stable. MPS was compared with an ordinary high pressure Common Rail fuel injection System(CRS). This work established one-dimensional AMESim and mathematical models for both CRS and MPS to study the effect of different structures and geometric parameters on the pressure fluctuations. The calculations show that the average fuel pressure fluctuation of MPS can be reduced by 57% for the crankshaft speed of 1900 r/min, and the pressure fluctuation before injection reduced by 100%. It is concluded that the pressure performance of MPS is less sensitive to pressure reservoir volume than that of CRS, and there is an opportunity for further volume reduction.     

卷积神经网络和峭度在轴承故障诊断中的应用

针对传统智能诊断方法依靠专家知识和人工提取数据特征工作量大的问题,结合深度学习方法在特征提取和处理大数据方面的优势,研究了一种基于卷积神经网络和振动信号峭度指标的滚动轴承故障诊断方法。该方法将深度学习应用于轴承故障诊断,提取滚动轴承正常状态、内圈故障、外圈故障和滚动体故障4种状态的振动信号,将振动信号分段处理得到峭度指标,使用数据到图像的转换方法将峭度指标转换为灰度图,送入卷积神经网络模型完成故障分类。在进行滚动轴承故障诊断的实验时,所提的模型诊断准确率达到99.5%,高于传统支持向量机(SVM)算法的95.8%。      

基于卷积门控循环网络的滚动轴承故障诊断

针对许多基于深度学习的滚动轴承故障诊断方法在小样本数据集下诊断性能下降的问题,提出一种基于卷积门控循环神经网络的轴承故障诊断模型。该模型使用两层的卷积网络来从输入信号中提取特征,同时使用tanh函数作为激活函数,且池化层使用大池化核来进行重叠下采样。将所提取得到的高层特征连接到双向门控循环网络。合并循环网络正向和逆向的最后一个状态,并连接一层全连接层进行输出。选用凯斯西储大学的轴承故障数据集来验证模型在小样本数据集下的诊断性能,实验结果表明,相比于其他类型的模型,该模型在仅有20个训练样本的情况下依然保持97%的识别准确率。      

飞机全电刹车系统的发展与关键技术研究

刹车系统是影响飞机起降安全的关键功能子系统之一,全电刹车是刹车系统的发展方向,是多电飞机重要的组成部分;与传统的液压刹车系统相比,全电刹车系统具有架构简单、可靠性高、经济性好等明显优势;本文首先对国内外全电刹车发展现状进行收集和整理,通过对比分析,找到国内外全电刹车技术上的差距;然后,根据样件试验情况,从自身角度出发,对全电刹车系统的关键技术进行梳理和分析,为国内全电刹车的研究和发展提供参考;最后,对国内全电刹车的发展现状进行思考。     

基于混沌理论的滚动轴承振动信号融合模型预测

提出融合算法模型,在混沌理论的基础上对滚动轴承振动信号进行预测。基于相图法、最大Lyapunov指数法和关联维数法对滚动轴承振动信号进行混沌判别,证明其混沌性。以预测值和真值间差值范数最小为目标导向优化出Kriging模型、最小二乘支持向量机(LSSVM)模型和极端学习机(ELM)模型的权重,加权法构建融合算法模型。相空间重构法构建滚动轴承振动信号预测的训练样本,并对融合模型、Kriging模型、LSSVM模型和ELM模型进行训练,训练好的模型用于振动轴承振动信号混沌预测。以案例1和案例2共两个实验的滚动轴承振动信号为对象进行验证,两案例的最大Lyapunov指数大于0,从而判断这两个案例的轴承振动信号呈现混沌特性。另外,从方均误差、方均根误差和平均绝对误差指标来评价,融合算法模型的指标值均小于单一模型算法,融合算法模型的预测精度优于单一模型算法。