某型水陆两栖飞机主结构铝合金材料选用分析

材料选用是飞机研制过程中的一项重要内容,选用材料的好坏直接影响飞机性能的优劣,飞机选材需要考虑多个因素。某型水陆两栖飞机按照疲劳、损伤容限设计原则进行结构设计。通过对某型水陆两栖飞机载荷工况和服役环境的分析,结合飞机基本选材原则和某型水陆两栖飞机结构设计对材料的静强度性能,疲劳、损伤容限性能,耐腐蚀性能等的要求,综合考虑铝合金材料特点、适航性、成本及供货等因素,最终提出某型水陆两栖飞机结构的铝合金材料选材方案。     

NH－93型有机氟涂料的研究

采用国产含氟乳液为基料，研究了辅料的种类和用量，涂料的组成及工艺参数对涂膜性能的影响，提出了能获得良好涂膜的ＮＨ－９３型氟涂料的配方和成膜条件。     

攻角试飞测试基准的误差修正

阐述了攻角测量误差的成因和攻角试飞校准的必要性。选定机头空速管攻角传感器为攻角试飞的测试基准，分析其攻角探测特性，并运用细长旋成体理论重点计算了机体绕流对攻角测量的影响量。探讨了攻角试飞测试基准的误差修正问题。     

矩形微波谐振腔单模谐振条件

本文首次推导出矩形微波谐振腔的单膜谐振于TE101模的条件。所给出的结论以于单模矩形谐振腔的工程设计具有非常重要的指导意义。     

准分子激光矫正屈光不正的原理及其实现

研究了准分子激光治疗屈光不正的原理及其实现方法，介绍了准分子激光治疗屈光不正的原理及其种类。在初始角膜模型假设的基础上，提出了能够用于近视、远视和散光等屈光手术的数学模型，计算出切削量和切削的层数，并给出了相应的算法框图。就准分子激光角膜切削机理和“飞点扫描”等关键技术进行了研究。研究成果直接用于准分子激光眼科治疗机，并给出了准分子激光眼科治疗机的原理框图。实验和临床数据表明。取得了满意的手术效果。     

壁面摩擦对风洞侧壁干扰的影响

本文研究了摩擦对风洞侧壁干扰的影响。在以Barnwell为代表开展的一系列侧壁干扰研究中,所有工作都未计及摩擦的影响。我们认为,Barnwell等人的这一处理理论上有缺陷。对此,本文用Karman-Pohlhausen方法对侧壁边界层作了分析,指出摩擦对侧壁干扰有不同程度的影响,具体取决于Pohlhausen参数B的大小;B越小,影响越大。Barnwell略去摩擦项的结果只对应于分离边界层情况,而事实上Barnwell处理的是附着边界层。通过这一分析,本文建立了有摩擦影响的侧壁干扰修正的新形式;考虑到多种因素的影响,初步建议参数B按中间值取为B=3～4。最后,就修正参数δ~*的确定作了一定讨论。     

固体发动机喷管延伸锥展开前级间分离的热环境分析

通过FLUENT流场计算软件,采用RNGK k-ε湍流模型,针对带有延伸喷管的多级固体发动机级间热分离的热环境进行了数值分析。研究表明,延伸喷管尾流受到连接筒、前封头、延伸段的阻碍后,其流动特征变化显著,尤其在一级前封头的影响下形成回流,并在喷管内形成激波。计算得到的热环境参数,对发动机的热防护设计具有一定的参考价值。     

Vibration signal-based chatter identification for milling of thin-walled structure

In high speed milling aeronautical part, tool condition monitoring(TCM) is very important, because it is prone to get a chatter owing to the low stiffness of thin-walled structures. And the TCM is key technology for automated machining. In this paper, aiming to chatter monitoring in thin-walled structure milling, a variational mode decomposition – energy distribution(VMD-ED)method is proposed to improve the identification accuracy. And a moving average root mean square – mean value(MARMS-MV) ide...     

Using TensorFlow-based Neural Network to estimate GNSS single frequency ionospheric delay (IONONet)

In the last 20?years, and in particular in the last decade, the availability of propagation data for GNSS has increased substantially. In this sense, the ionosphere has been sounded with a large number of receivers that provide an enormous amount of ionospheric data. Moreover, the maturity of the models has also been increased in the same period of time. As an example, IGS has ionospheric maps from GNSS data back to 1998, which would allow for the correlation of these data with other quantities relevant for the user and space weather (such as Solar Flux and Kp). These large datasets would account for almost half a billion points to be analyzed. With the advent and explosion of Big Data algorithms to analyze large databases and find correlations with different kinds of data, and the availability of open source code libraries (for example, the TensorFlow libraries from Google that are used in this paper), the possibility of merging these two worlds has been widely opened. In this paper, a proof of concept for a single frequency correction algorithm based in GNSS GIM vTEC and Fully Connected Neural Networks is provided. Different Neural Network architectures have been tested, including shallow (one hidden layer) and deep (up to five hidden layers) Neural Network models. The error in training data of such models ranges from 50% to 1% depending on the architecture used. Moreover, it is shown that by adjusting a Neural Network with data from 2005 to 2009 but tested with data from 2016 to 2017, Neural Network models could be suitable for the forecast of vTEC for single frequency users. The results indicate that this kind of model can be used in combination with the Galileo Signal-in-Space (SiS) NeQuick G parameters. This combination provides a broadcast model with equivalent performances to NeQuick G and better than GPS ICA for the years 2016 and 2017, showing a 3D position Root Mean Squared (RMS) error of approximately 2?m.     

温度参数下轴编C/C复合材料的超高温热结构性能分析

为了研究轴编碳/碳（C/C）复合材料的超高温热结构性能,开展了2800℃超高温载荷下复合材料的拉伸实验,表征了复合材料组分材料的高温失效形貌;提出了立方体单胞和正六棱柱单胞的温度周期性边界条件的算法和预测复合材料等效热结构参数的方法,在材料属性各向同性正六棱柱单胞模型上验证了方法的正确性;最后建立了轴编C/C复合材料的代表性体积单元,计算了复合材料随温度载荷变化下的等效热结构参数,与实验数据进行了对比分析。分析表明：开展的轴编C/C复合材料的超高温拉伸实验,可以得到复合材料在2800℃载荷下复合材料的等效刚度值,同时分析了轴向试件和径向试件的高温失效机理,径向试件的纤维束拉伸强度对复合材料的径向拉伸强度起到决定性的作用。在应用位移以及温度周期性边界条件的基础上,提出的方法可以得到随温度载荷变化下复合材料的等效热结构参数,得出复合材料在横向满足近似各向同性的特性,预测结果表明只改变温度参数下复合材料的等效热导率不会发生改变。提出的方法同样也适用于其他编织复合材料的热结构性能研究。