基于ISIGHT的某型飞机发动机短舱防火结构设计

以某型发动机短舱为研究对象,依据 CCAR-25-R4适航条款要求,对短舱结构进行了防火区域的界定为考核短舱防火结构的受力状况,建立短舱后段防火结构有限元模型,完成了5种工况下的有限元分析:综合计算结果,选取其中最严重受力工况,结合发动机的安装和维护需求,开展短舱后段防火结构优化分析:最后以短舱中典型的钛合金防火平板、焊接板2种结构为例,开展了结构防火试验。试验结果表明,防火结构有良好的防火性,满足飞机设计要求。通过以上的结构优化、材料性能试验等流程,最终形成了一套短舱防火结构设计方法,降低了结构重量,加快了设计流程。     

火烧炉内气相燃烧过程的三维数值模拟

本文对某工业火烧炉内的三维湍流气相燃烧场特性进行了数值模拟,湍流模型采用可实现k-ε双方程模型,湍流燃烧采用有限速率/涡耗散模型,辐射换热采用P1模型,数值方法采用SIMPLE算法,实现了炉内火烧试验的数值再现,特别考察了入口压力、燃料/空气比、多烧嘴不同组合工况等因素对炉内温度场和流场的影响,并对该火烧炉的运行提出了一些合理化建议,为其实际运行提供了有益的参考。     

极端低温下电液伺服阀温漂特性分析

针对电液伺服阀在极端低温下温漂大的问题，以＋40℃时电液伺服阀初始零偏为基准，采用线性回归方法分析了某型射流管伺服阀不同温度的零偏试验数据，得到了极端低温下的伺服阀温漂与＋40℃时初始零偏的数学关系。分析与试验结果表明：极端低温时射流管伺服阀的温漂与＋40℃时的初始零偏存在非常显著的线性关系。温漂与电液伺服阀制造与装配工艺过程密切相关，与结构及其装配不对称有关。电液伺服阀结构上的微观不对称现象，在极端低温下显现出来，尤其是呈现出较大的温漂。降低温漂的主要措施是提高电液伺服阀结构与装配的对称性，降低初始零偏。     

Investigation on the interface damage in drilling low-stiffness CFRP/Ti stacks

Carbon fiber reinforced plastic and titanium alloy (CFRP/Ti) stacks have been widely used as aerospace structures because of their excellent combination of physical properties. Interface damage caused by interface gaps, significantly different from that of metal/metal stacks, is a common problem in the through-hole drilling of CFRP/Ti stacks with low stiffness. In this study, a force–deformation coupling model was developed to further examine the formation mechanism and the control method of interface damage. Firstly, the coupling model was built considering the interaction between the thrust force and the deformation. To solve this model, a numerical method was proposed in which specific cutting coefficients were calibrated using only the thrust force of rigid stacks. Secondly, drilling experiments were performed with different feed rates and bending stiffness. Experimental results indicate that interface damage mainly includes interlayer chips and surface damage of CFRP layers. The surface damage, which is irreparable, is caused by the rotary extension of metal chips along the interlayer gap. Thirdly, variations of the interface gap were calculated with the coupling model that had been verified by measured thrust forces. The damage area was found to have a linear dependence relation with the interlayer gap. However, in conditions of large gap sizes, the interface damage areas increased with the interlayer gap at high feed rates, while decreasing slightly at low feed rates. This phenomenon was satisfactorily explained by the presented model. Finally, a method was proposed to determine the appropriate pressure exceeding which no interlayer damage will occur. Additional drilling experiments proved the method effective. This study leads to further understanding of the forming mechanism of interlayer damage and of selecting appropriate parameters in drilling low-stiffness composite/metal stacks.     

Classification of solar wind structures and intense geomagnetic storm alarms with self-organizing maps

Intense geomagnetic storms (D_st < −100 nT) usually occur when a large interplanetary duskward-electric field (with Ey > 5 mV m⁻¹) lasts for more than 3 h. In this article, a self-organizing map (SOM) neural network is used to recognize different patterns in the temporal variation of hourly averaged Ey data and to predict intense storms. The input parameters of SOM are the hourly averaged Ey data over 3 h. The output layer of the SOM has a total of 400 neurons. The hourly Ey data are calculated from solar wind data, which are provided by NSSDC OMNIWeb and ACE spacecraft and contain information on 143 intense storms and a fair number of moderate storms, weak storms and quiet periods between September 3, 1966 and June 30, 2002. Our results show that SOM is able to classify solar wind structures and therefore to give timely intense storm alarms. In our SOM, 21 neurons out of 400 are identified to be closely associated with the intense storms and they successfully predict 134 intense storms out of the 143 ones selected. In particular, there are 14 neurons for which, if one or more of them are present, the occurrence probability of intense storms is about 90%. In addition, several of these 14 neurons can predict big magnetic storm (D_st  −180 nT). In summary, our method achieves high accuracy in predicting intense geomagnetic storms and could be applied in space environment prediction.     

非平衡电弧加热射流光谱学诊断方法：第一部分 氩射流

从一般意义上给出了非平衡电弧加热射流光谱学诊断方法和结果。表明非平衡亚声速电弧加热射流中心是ＬＴＥ的，沿径向形成一非平衡囊兜，囊兜的最深位置约在１／２射流半径处。     

U型脉冲爆震燃烧室的点火起爆工作特性试验研究

为了缩短脉冲爆震燃烧室轴向长度,开展了气液两相U型脉冲爆震燃烧室（U-PDC）点火起爆特性试验研究。试验时采用火花塞点火和热射流点火,且点火能量可调。研究结果表明,两种点火方式均可实现U-PDC工作频率10~30Hz稳定工作,且DDT时间随工作频率提高而缩短,在5~11ms之间。此外,实现U-PDC稳定工作时,热射流所需的点火能量为0.05J较火花塞点火能量1J更低,并且热射流点火DDT距离更短,约718mm,起爆位置距来流入口的轴向距离约280mm,缩短了起爆所需的轴向长度,有利于工程应用。但是,进一步提高热射流点火能量,其DDT距离无明显变化。     

弹体超声速绕流与底喷流干扰流场的数值模拟

利用ＴＶＤ有限体积格式数值模拟了弹体超声速绕流与底喷注相互干扰的复杂流场。采用四步Ｒｕｎｇ－Ｋｕｔｔａ时间推进多步法及“冻结粘性”技术,加速了迭代收敛,节省了计算机时。     

顺逆流向喷流干扰下二体分离气动力风洞实验研究及前体轴向力特性

本文概述了具有顺，逆流向喷流干扰的二体分离气动力风洞实验技术研究。对有喷流干扰引起的前体轴向气动力特性，作了简单的介绍。最后对有顺、逆流向喷流干扰的前体底部流动模型作了定性的描绘，可供理论研究时参考。     

智能结构有限元模型的建立及静态形状控制

本文建立了含有分布压电传感元件和执行元件的板结构的有限元模型，提出了一种新的具有电自由度板弯曲单元，用于分析含有分布传感元件和执行元件的板结构。以此为基础，提出了智能结构静态形状控制的一般方法，即被动控制方法和主动控制方法。最后，提供了两个数值示例，说明本文提出的方法的应用。