一种星-箭连接动态界面力的深度学习反演方法

针对于星-箭连接动态界面力无法通过力传感器直接测量,且典型时域动载反演方法难以准确计算界面力的时域变化等难点,提出了基于长短时记忆(LSTM)神经网络的星-箭界面力深度学习反演方法。首先通过卫星地面测试试验得到数据依据,以卫星主体结构的加速度测量数据为输入层,以星-箭界面力测量数据为输出层,利用LSTM神经网络建立输入和输出间的反演映射关系模型,实现卫星在发射过程中较高精度的界面力反演。进而,设计并开展了某典型卫星结构的正弦扫频和随机振动实验,测试LSTM界面力反演方法的可行性。结果分析可知,所提出的基于LSTM深度学习反演方法能够精确地获得动态界面力时程数据,两项性能指标均优于目前典型的载荷反演方法。     

Transient simulation of regression rate on thrust regulation process in hybrid rocket motor

The main goal of this paper is to study the characteristics of regression rate of solid grain during thrust regulation process. For this purpose, an unsteady numerical model of regression rate is established. Gas–solid coupling is considered between the solid grain surface and combustion gas.Dynamic mesh is used to simulate the regression process of the solid fuel surface. Based on this model, numerical simulations on a H2O2/HTPB(hydroxyl-terminated polybutadiene) hybrid motor have been performed in the flow control process. The simulation results show that under the step change of the oxidizer mass flow rate condition, the regression rate cannot reach a stable value instantly because the flow field requires a short time period to adjust. The regression rate increases with the linear gain of oxidizer mass flow rate, and has a higher slope than the relative inlet function of oxidizer flow rate. A shorter regulation time can cause a higher regression rate during regulation process. The results also show that transient calculation can better simulate the instantaneous regression rate in the operation process.     

Storage life of silicone rubber sealing ring used in solid rocket motor

It is urgent to carry out detailed research on storage performance of rubber sealing ring to get the criterion for its storage life. This paper acquires material ageing regularity by theoretical analysis and experimental confirmation. On this condition, failure mode and failure criterion of typical sealing structure is studied, and the failure mechanism is found. Thus by analyzing the stress distribution, the relationship between ageing state and sealing condition is established. Rationalization proposal is put forward and storage life of sealing ring is evaluated. The research mentionedabove has special reference to the design of sealing structures and can provide reference for prolonging their service life.     

激波聚焦诱导气液两相爆震燃烧的数值模拟

对以激波聚焦和增加障碍物方式诱导煤油-空气气液两相爆震燃烧的过程进行了数值模拟.采用欧拉-拉格朗日方法建立了脉冲爆震发动机(PDE)中气液两相流的喷射、雾化、掺混过程.研究发现环形爆震波在爆震管凹腔内经过反射、汇聚后能够引燃可燃混合物.而在障碍物处,激波的反射和再反射聚焦能够形成高温高压点(2700K,25MPa),产生局部爆炸,有助于形成稳定的脉冲爆震燃烧(波面速度为1900m/s,温度为2 950K),有效地缩短由缓燃向爆震转变(DDT)距离至0.45m.     

基于自适应粒子滤波的涡扇发动机故障诊断

针对涡扇发动机非线性、非高斯的特点,提出了一种自适应的粒子滤波算法用于涡扇发动机气路部件突变故障的诊断.为了减小算法的计算量并且保证滤波精度,分析了滤波精度和样本数目的关系,提出根据滤波过程中状态的方差自适应地调整粒子数,在保证一定的滤波精度下可以有效地减少滤波过程中使用的粒子数,提高了算法的实时性.同时,引入扩展卡尔曼滤波(EKF)用于更新粒子,产生重要概率密度函数,在一定程度上避免了粒子的退化.通过某型涡扇发动机的仿真分析表明:改进的算法相比标准粒子滤波算法用于涡扇发动机气路部件故障诊断时,参数估计的方均根误差减小了50%左右,且算法的计算量减小了30%.     

WP7系列发动机涡轮导向器叶片盖板的钎焊修复

采用真空钎焊的方法对WP7系列发动机涡轮导向器叶片盖板进行了修复,介绍了修复过程及工艺。修复后的叶片经目视及荧光检验未发现表面裂纹,该修复工艺已成功用于WP7系列发动机涡轮导向器叶片盖板的批量修复,年修复量约1000件。     

RR公司3转子民用发动机技术发展思路

为了探寻RR公司在民用航空发动机领域中的技术和产品发展思路,对该公司3转子民用发动机产品的发展历程和市场情况以及发展的外部条件进行了简要回顾分析。介绍了RR公司3转子发动机的总体布局方案,并通过对波音787客机所使用的典型3转子发动机与双转子发动机的对比,分析了3转子布局技术特点。归纳总结出RR公司3转子民用发动机的技术发展思路的特点:大胆尝试、紧扣市场、低压部件与核心机协调发展和应用缩放技术。     

弹道修正执行机构综述

二维弹道修正弹是一种低成本、高精度的精确打击弹药,修正机构是弹道修正弹上的重要部件,其性能决定了弹丸的弹道修正能力。针对弹道的二维修正需求,介绍了国内外对二维弹道修正弹修正机构的研究状况;列举了应用在二维弹道修正弹上不同类型的修正机构;阐述了不同类型修正机构的工作原理、特点以及各自的局限性。最后,对不同类型修正机构特性进行了比较,给出了相关技术指标,对比了各自的优缺点。阐述了选择和设计执行机构应注意的问题。     

涡扇发动机故障诊断硬件在回路实时仿真平台

硬件在回路仿真是发动机故障诊断算法由理论转向实际工程应用的重要阶段,但目前航空发动机故障诊断算法的研究多数处于软件数字仿真阶段。构建民用涡扇发动机故障诊断算法硬件在回路实时仿真验证平台,开发考虑健康退化的民用涡扇发动机多维调度分段线性化模型,分析并模拟仿真民用涡扇发动机的四类典型常见故障。经过对相关诊断算法进行实验验证,表明该平台及使用的模型和方法都是行之有效的,具有一定的工程使用价值。     

Global Environmental Alert Service (GEAS)

Early warning systems represent an innovative and effective approach to mitigate the risk associated with natural hazards. Early warning technologies are now available for almost all natural hazards and systems are already in operation in all parts of the world. Nevertheless, recent disasters such as the Indian Ocean tsunami in 2004 and Katrina hurricane in 2005, highlighted inadequacies in early warning technologies.

Efforts towards the development of a global warning system are necessary for turning the tide in early warning processes and technologies. There is a pressing need for a globally comprehensive early warning system based on existing systems. The global system should be a mechanism which can consolidate scientific information and evidences, package this knowledge in a form usable to international and national decision makers and actively disseminate this information to those users.

The proposed Global Environmental Alert Service (GEAS) will provide information emanating from monitoring, Earth observing and early warning systems to users in a near-real-time mode and bridge the gap between the scientific community and policy makers. Characteristics and operational aspects of such a service, GEAS, are discussed.