低温输液泵自然循环预冷模拟试验

介绍了低温液体自然循环预冷方案，并以液氮为模拟推进剂，进行一系列循环预冷模拟试验，包括常压或增压环境、气相回流或液相回流、小管径或大管径、回流管绝热或裸露、自流或引射等各种组合。通过分析对比各状态试验时系统所获得的温度、压力数据，得出气相回流循环预冷试验较液相回流循环预冷试验更能快速、持续地预冷系统，增压和引射在特定条件下有利于系统保持循环状态等结论。     

组合叶栅的定义及其应用研究

提出了组合叶栅设想及其评价准则 ,并对组合叶栅进行了性能实验。通过实验数据的分析 ,肯定了组合叶栅设想应用于可逆风机叶片设计的可行性。实验还证明 ,选取适当的叶栅组合参数 B、T,可以使组合叶栅的整体性能得到大幅度的改善 ,与现有的翼型相比 ,CN Ry max、αN RCymax均有不同程度的提高     

环保型玻璃清洗剂的研制

研制出一种迅速、简便清洗玻璃污垢的清洗剂。该产品不含磷、生物降解性好 ,是一种对人体无毒、对环境无害的环保型产品。     

箭上电磁环境检测接收天线研究

针对目前运载火箭舱内电磁环境愈发复杂且没有有效的测量手段的问题,研制了一种超宽带无源小型化接收天线。该天线采用多个整形单极子的方式拓展带宽并达到小型化目的。接收天线的测量频率范围覆盖500 MHz～6 GHz,尺寸约为60 mm×60 mm×100 mm。通过加入低噪声放大器,使可测量的最低电场强度不高于1 mV/m。由于多个整形极子天线存在相互干扰情况,因此接收天线在频率响应上与理论值存在差异,该差异可以通过校准进行消除。通过数值仿真和样机试验测试,该天线系统的测量能力良好,符合设计预期。将该接收天线应用装载在运载火箭舱内,可以对目前已知的箭上无线系统发射频段进行有效测量,对飞行过程中箭上真实电磁环境的确认、舱内电磁兼容设计、箭地无线链路设计具有重要作用。     

Regression model for civil aero-engine gas path parameter deviation based on deep domain-adaptation with Res-BP neural network

The variations in gas path parameter deviations can fully reflect the healthy state of aero-engine gas path components and units; therefore, airlines usually take them as key parameters for monitoring the aero-engine gas path performance state and conducting fault diagnosis. In the past, the airlines could not obtain deviations autonomously. At present, a data-driven method based on an aero-engine dataset with a large sample size can be utilized to obtain the deviations. However, it is still difficult to utilize aero-engine datasets with small sample sizes to establish regression models for deviations based on deep neural networks. To obtain monitoring autonomy of each aero-engine model, it is crucial to transfer and reuse the relevant knowledge of deviation modelling learned from different aero-engine models. This paper adopts the Residual-Back Propagation Neural Network (Res-BPNN) to deeply extract high-level features and stacks multi-layer Multi-Kernel Maximum Mean Discrepancy (MK-MMD) adaptation layers to map the extracted high-level features to the Reproduce Kernel Hilbert Space (RKHS) for discrepancy measurement. To further reduce the distribution discrepancy of each aero-engine model, the method of maximizing domain-confusion loss based on an adversarial mechanism is introduced to make the features learned from different domains as close as possible, and then the learned features can be confused. Through the above methods, domain-invariant features can be extracted, and the optimal adaptation effect can be achieved. Finally, the effectiveness of the proposed method is verified by using cruise data from different civil aero-engine models and compared with other transfer learning algorithms.     

高校青年教师思想道德建设刍议

通过对当前高校青年教师思想道德现状的分析,在肯定青年教师积极、健康、向上主流的同时,指出了存在的三个方面的问题,进而从社会大环境、学校小环境和青年教师自身三个方面深入研究了青年教师思想道德"衰微"的成因.在此基础上,探讨了加强和改进高校青年教师思想道德建设的思路和对策.     

某汽轮机弯曲叶片级的改型计算及流动分析

在四种不同弯曲静叶方案下利用CFD流场计算软件NUMECA对某汽轮机弯曲叶片级的内部三维流场进行了数值模拟。根据数值研究结果分析了不同弯静叶方案下级内流动特性、气流参数的变化,给出了四种静叶方案的级效率。研究表明本文采用的弯导叶方案没有提高级效率。本文最后分析了叶片弯曲对静叶栅内马蹄涡位置与流动结构的影响。      

阵列式高频热流信号薄膜传感器制备工艺与参数研究

阵列式高频热流信号柔性薄膜传感器在流体力学风洞试验中有着十分重要的应用前景.聚酰亚胺具有优良的力学性能、化学稳定性和耐高温特性,是微加工制备薄膜传感器的理想衬底材料之一.但该材料表面有疏水基团,制备的金属镀层极容易被破坏,降低了应用价值.针对阵列式高频热流信号柔性薄膜传感器制备中衬底材料与镀层金属结合力欠佳的情况,使用...     

Aircraft engine fault detection based on grouped convolutional denoising autoencoders

Many existing aircraft engine fault detection methods are highly dependent on performance deviation data that are provided by the original equipment manufacturer. To improve the independent engine fault detection ability, Aircraft Communications Addressing and Reporting System (ACARS) data can be used. However, owing to the characteristics of high dimension, complex correlations between parameters, and large noise content, it is difficult for existing methods to detect faults effectively by using ACARS data. To solve this problem, a novel engine fault detection method based on original ACARS data is proposed. First, inspired by computer vision methods, all variables were divided into separated groups according to their correlations. Then, an improved convolutional denoising autoencoder was used to extract the features of each group. Finally, all of the extracted features were fused to form feature vectors. Thereby, fault samples could be identified based on these feature vectors. Experiments were conducted to validate the effectiveness and efficiency of our method and other competing methods by considering real ACARS data as the data source. The results reveal the good performance of our method with regard to comprehensive fault detection and robustness. Additionally, the computational and time costs of our method are shown to be relatively low.     

前缘复合改型在压气机平面叶栅中的应用初探

为了探究同时应用不同前缘改型对压气机叶栅的影响,以DMU37动叶5%叶高处叶型的平面叶栅为原型,采用数值计算方法,探究4种椭圆形前缘改型及4种椭圆鼓包复合改型对叶栅流场及性能的影响,考虑的主要影响参数分别为椭圆长短轴比和鼓包波幅。结果表明:-6°～+4°冲角时,椭圆形前缘方案可不同程度地降低前缘吸力峰及总压损失系数,特别在正冲角条件时改善效果更好;长短轴之比为4的椭圆形前缘方案综合性能最好,主流区吸力峰高度降低56.3%,+4°冲角时,总压损失系数和可比原型叶栅降低5.8%;0°冲角下,椭圆鼓包复合改型的损失相比原型叶栅均有所增大;+4°冲角时,各椭圆鼓包复合改型方案均能有效降低损失,总压损失系数最多可比原型叶栅降低7.5%,表明椭圆鼓包复合改型在+4°冲角时可以提高叶栅气动性能。