Modified micro-mechanics based multiscale model for progressive failure prediction of 2D twill woven composites

To consider fiber random distribution at the microscale for the multiscale model based on the micro-mechanics failure (MMF) theory, clustering method is used for the extraction of amplification factors. As the clustering method is a kind of unsupervised machine learning method, the elements with similar mechanical behavior under external loading can be included in a cluster automatically at the microscale. With this modification, the fiber random distribution model can be used for multiscale damage analysis in the framework of MMF theory. To validate the modified multiscale analysis method, progressive damage analysis of a kind of 2D twill woven composites is conducted based on different microscale models. The stress values for microscale models with fiber hexagonal and random distribution patterns are compared first. Much higher stress concentration is generated in the fiber random distribution model due to the smaller inter-fiber distance especially under longitudinal shear loading. The obtained cluster distribution results exhibit the characters of the stress distribution in the two microscale models. Thereafter, tensile and compressive responses of the 2D twill woven composite are predicted with the modified multiscale analysis method and accuracy of the method is verified through comparison with published experimental results. From the simulation results, it can be found that the matrix damage initiation from the model based on the fiber random distribution model is premature compared with that from the model based on the fiber hexagonal distribution model. Besides, under tensile loading, the damage all initiates from the fill tows and propagates to the wrap tows. However, under compressive loading, the matrix damage initiates from the wrap tows in the model based on the fiber random distribution model.     

Thick exchange layer evaporation model with natural convection effect and evaporation experimental study for multicomponent droplet

In order to investigate the high-temperature evaporation characteristics of multicomponent liquid fuel, three kinds of blended fuel: n-heptane/n-decane/RP-3 aviation kerosene-ethanol were experimentally studied with and without forced convection. Further, based on zero-diffusion and infinite diffusion concept, this study expanded Thick Exchange Layer evaporation model with Natural Convection effect (NC-TEL) to multicomponent liquid fuels. The experimental results show that the droplet evaporation rate increases significantly with the increase of ambient temperature. Higher temperature leads to more significant relationships between the composition ratio and the evaporation rate. The effect of forced convection is not obviously under the circumstance in this paper. Then, the evaporation models were validated by experimental data. In general, the new NC-TEL model behaves better than the Ranz-Marshall (R-M) model, and the prediction accuracy at high temperature is improved by 8% to 35%. In lower temperature conditions, the prediction of zero-diffusion NC-TEL model is better than the infinite diffusion NC-TEL model. In high-temperature conditions, for n-heptane-ethanol droplet, the predictions of NC-TEL model are accurate, but for n-decane/RP-3 aviation kerosene-ethanol, the predictions are lower than experimental results. This may be caused by the micro-explosion phenomenon and the Marangoni phenomenon.     

基于EGView的SR20飞机的发动机爆震分析

基于EGView软件对SR20飞机出现的多起发动机CHT异常升高故障进行了分析，结果表明出现了早燃引发的爆震，进一步对爆震发生的几率以及如何减小爆震的强度和持续时间进行了研究，并就该机型在运行中减少爆震的发生提出了建议。     

基于模型重构的变形叶片配准定位技术

叶片毛坯的精确定位是叶片数控加工的核心问题,为了提高叶片数控加工质量,保证叶片各处余量分配均匀,本文以叶片进排气边的自适应数控加工中的检测定位为研究对象,提出了一种基于模型重构的配准定位方法.该方法利用偏置模型的叶片测量方式提高了测量精度,对基于重构的测量模型进行变形与定位分析,得出较优的定位参数.通过仿真试验和对比分析,论证了本文方法的正确性.     

Robust control for constant thrust rendezvous under thrust failure

A robust constant thrust rendezvous approach under thrust failure is proposed based on the relative motion dynamic model. Firstly, the design problem is cast into a convex optimization problem by introducing a Lyapunov function subject to linear matrix inequalities. Secondly, the robust controllers satisfying the requirements can be designed by solving this optimization problem.Then, a new algorithm of constant thrust fitting is proposed through the impulse compensation and the fuel consumption under the theoretical continuous thrust and the actual constant thrust is calculated and compared by using the method proposed in this paper. Finally, the proposed method having the advantage of saving fuel is proved and the actual constant thrust switch control laws are obtained through the isochronous interpolation method, meanwhile, an illustrative example is provided to show the effectiveness of the proposed control design method.     

基于北斗的灾害预警信息发布应用层FEC性能分析

根据北斗卫星系统特有的信息传输特征,本文研究了在北斗灾害预警信息发布系统中采用应用层前向纠错（FEC）技术能够成功提高预警信息传输的准确性。仿真结果表明预警信息的成功传输率可到达99.99%以上。所得到的结论对于北斗灾害预警信息发布系统中的参数选择及性能优化具有指导意义。     

氢燃料双模态燃烧室模态转换

为研究双模态燃烧室的模态转换规律,采用计算流体动力学(CFD)方法,对氢燃料模型燃烧室在不同当量油气比、飞行马赫数、燃料喷射方式下的流场进行了数值模拟,并与试验结果进行对比,两者相互吻合.研究结果表明:当量油气比提高、飞行马赫数降低及双面喷射燃料均使燃烧室更趋于亚燃工作模态.     

聚集状态下燃烧室凝相粒子粒度特性实验

设计了具有收敛段的粒子发生装置,采用密闭收集水罐,针对HTPB推进剂开展实验,有效完整地收集到了聚集状态下的凝相粒子。采用扫描电镜和粒度分析仪对收集的粒子进行了分析。结果表明,聚集状态下颗粒间碰撞聚合非常严重,大颗粒一般由多个颗粒聚合而成。碰撞聚合条件下凝相粒子的粒度分布范围比较宽,颗粒分布峰值粒度在9～13μm之间,比非聚集状态下的主峰粒度大很多。研究结果可为两相流数值计算、发动机工作过程分析提供基础数据。     

基于容迟网络路由的航天测控网量子密钥分配

为提高航天测控网通信的安全性,本文将量子密钥分配技术应用于分布式航天测控网,并采用容迟网络路由策略来传递量子密钥。首先在地面站和航天器之间建立量子密钥分配系统,生成并共享密钥;随后以行进中的航天器为中介,逐段加密传送密钥;最终可使两个地面站共享量子密钥,保证信息传输的绝对安全。考虑到容迟网络的特点,本文对传染病路由算法进行改进,并应用于密钥传递过程。仿真结果表明,上述密钥分配机制可有效提高航天测控网通信的性能。     

航空发动机燃烧室喷嘴内部燃油结焦研究

对在最严重热负荷时喷嘴内部燃油沉积率以及燃油性能参数的变化进行了试验研究。对1个相似的喷嘴试验件进行了传热试验,通过试验修正计算中关键的传热系数,建立了符合喷嘴实际的传热计算方法;用该方法推算发动机在真实条件下发生最严重热负荷的工况,然后进行了燃油沉积率试验,得到了燃油管道沉积率与温度的关系,同时得到了喷嘴和油滤上积沉的特征;对沉积物成分进行了分析,并测定了燃油油样进行性能参数。通过研究结果,提出了改善喷嘴燃油热安定性的措施。