装备研制阶段可修复备件利用率预计方法

通过对装备研制阶段可修复备件利用率的影响因素和故障产品维修保障流程的分析,利用闭合Jackson排队网络描述了产品在装备一维修站一仓库系统中的运行状态问题.建立了不同送修策略下的数学模型.得出了故障产品处于各状态下的平均逗留时间和平均等待数量.并给出了装备研制阶段可修复备件利用率的预计模型.最后通过算例验证了该模型和方...     

基于MFBD的多级多层系统修复性维修过程建模与仿真

由于装备复杂程度的提高以及维修过程的不确定性,对复杂可修系统修复性维修(CM)过程的分析一般基于概念模型进行仿真.通过建立随机的维修功能框图(MFBD),考虑装备测试性设计对维修过程的影响,建立了支持多级多层(MIME)维修活动的仿真模型,同时该模型也支持维修活动间复杂层次及逻辑关系的描述.给出了考虑资源等待时间的复杂可修系统的平均修复时间仿真计算方法,建立了复杂可修系统的修复性维修过程仿真应用案例.通过对测试性设计参数等不同影响因素的调整进行敏感性分析,验证了模型的正确性和适用性.     

非标准大气条件下航空发动机地面起动性能

为了得到非标准大气条件对航空发动机地面起动性能的影响,对非标准大气条件下空气涡轮起动机输出功率特性、标准大气条件下理想起动过程的影响因素进行了分析.研究了非标准大气条件对航空发动机地面起动性能影响,分析了大气温度对起动点火时间、起动时间、起动过程排气温度的影响.应用均匀加速原理,对某型涡扇发动机起动时间进行估算.基于地面台架起动试验条件,对试验数据统计分析:大气温度增加或降低,将增加起动点火及脱开时间.对大气温度在293.15K以上的开车次的平均起动时间与293.15K以下的平均起动时间进行对比,热天起动时间比冷天要短约3s,试验结果符合理论分析.      

飞机外场维修性数据计算与分析方法

迄今为止,飞机的维修性分析工作从理论上说已经比较完善了,但在实际的工程应用中,由于缺乏外场使用过程中对维修性数据的科学正确积累,使得飞机维修性分析工作的开展仍然较为困难.通过对某型机系统及整机外场维修性数据的平均修复时间(MTTR)分析,根据当前外场故障数据实际统计,探索一种工程上可行的维修性数据分析方法.     

维修性预计方法运用现状及展望

维修性预计也称维修性预测,它是根据历史经验和类似的维修性数据,对新的产品设计构想或已设计的结构方案,预测其在预定条件下进行维修时的维修性参数,以便了解设计满足维修性要求的程度.维修性预计参数应与规定的指标参数相一致.最经常预计的参数是平均修复时间,或最大修复时间,工时频率或预防维修时间等.预计的参数常常是系统级或设备级的.     

进气压力畸变试验中面平均紊流度的计算

为研究航空发动机进气压力畸变试验中数据处理方法对面平均紊流度计算结果的影响,通过分析涡扇发动机进气压力畸变试验数据,得到了不同取样时间及不同滤波截止频率对面平均紊流度计算的影响结果。分析表明,只有合理选择取样时间及滤波截止频率,才能保证所计算面平均紊流度的准确性。本研究为进气压力畸变试验中面平均紊流度的计算提供了一种参考方法。     

复杂可修系统可信度建模中任务维修度计算的统计推断方法

在设定每一部件的致命性故障率为常数并在确定出各部件任务修复时间置信上限的基础上,通过对可能发生的多次致命性故障事件的概率状态描述,得到了部件故障率与系统可信度的定量关系,进而依据这一可信度的建模原理归纳出不考虑任务修复时间的具体分布类型时复杂可修串联系统可信度的计算方法,同时也给出了任务维修度的统计推断表达式;最后,以典型的 ４ 部件串联可修系统为例,探讨了致命性故障次数、允许任务修复时间、部件任务修复时间的不同置信上限等的变化对系统可信度的影响,并论证了系统可靠性、维修性和保障性与可信度的关系。     

复合材料微波胶接修补技术的研究及应用

根据微波快速固化、均匀制热的机理,研制开发了全新的复合材料微波快速胶接修复设备,并进行了修补试验.试验结果证明,该技术完全满足飞机结构件的修复要求,且显著地缩短了修复时间.     

俄罗斯国家标准常用可靠性名词术语(六)

53.平均故障间隔时间(Средняянаработканаотказа或Наработканаотказ;Ｍｅａｎｏｐｅｒａｔｉｎｇｔｉｍｅｂｅｔｗｅｅｎｆａｉｌｕｒｅ)定义:一种可修复产品工作时间总和与在此工作时间内该产品故障次数的数学期望之比值。说明:此指标适用于使用时允许多次发生故障的可修复产品。显然,这些故障不应导致严重后果,并且是将产品恢复到能工作状态不需要花费大量经费的不重要故障。这类产品的使用情况可以描述为:在开始时刻,产品开始工作,并持续工作到发生首次故障为止;发生故障后设法恢复产品的工作能…     

聚合物基复合材料自修复体系的构成与修复机制分析

介绍了聚合物基自修复复合材料的分类、构成及自修复机制,以被动模式的埋植式修复体系为重点进行了详细的分析.在此基础上,提出了一种新的被动模式自修复体系设计.     

The effect of inlet conditions on the flow and heat transfer in multiple rotating cavity with axial throughflow

This paper discusses experimental results from two different build configurations of a heated multiple rotating cavity test rig.Measurements of heat transfer from the discs and tangential velocities are presented.The test rig is a 70% full scale version of a high pressure compressor stack of an axial gas turbine engine.Of particular interest are the internal cylindrical cavities formed by adjacent discs and the interaction of these with a central axial throughflow of cooling air.Tests were carried out for a range of non-dimensional parameters representative of high pressure compressor internal air system flows(Re up to 5×106 and Rez up to 2×105).Two different builds have been tested.The most significant difference between these two build configurations is the size of the annular gap between the(non-rotating) drive shaft and the bores of the discs.The heat transfer data were obtained from thermocouple measurements of surface temperature and a conduction solution method.The velocity measurements were made using a two component,LDA system.The heat transfer results from the discs show differences between the two builds.This is attributed to the wider annular gap allowing more of the throughflow to penetrate into the cavity.There are also significant differences between the radial distributions of tangential velocity in the two builds of the test rig.For the narrow annular gap,there is an increase of non-dimensional tangential velocity V/Ωr with radial location to solid body rotation V/Ωr=1.For the wider annular gap,the non-dimensional velocities show a decrease with radial location to solid body rotation.      

Research on Auto-detection for Remainder Particles of Aerospace Relay Based on Wavelet Analysis

Aerospace relay is one kind of electronic components which is used widely in national defense system and aerospace system. The existence of remainder particles induces the reliability declining, which has become a severe problem in the development of aerospace relay. Traditional particle impact noise detection (PIND) method for remainder detection is ineffective for small particles, due to its low precision and involvement of subjective factors. An auto-detection method for PIND output signals is proposed in this paper, which is based on direct wavelet de-noising (DWD), cross-correlation analysis (CCA) and homo-filtering (HF), the method enhances the affectiv-ity of PIND test about the small particles. In the end, some practical PIND output signals are analysed, and the validity of this new method is proved.     

Preparation of Highly Dispersed Antimony-doped Tin Oxide Nano-powder via Ion-exchange Hydrolysis of SnCl4 and SbCl3 and Azeotropic Drying

Antimony-doped tin hydroxide colloid precipitates have been synthesized by hydrolysis of SnCl4 and SbCl3 using: (1) an ion-exchange hydrolysis to remove chlorine ions, and (2) isoamyl acetate as an azeotropic solvent to obviate water. The obtained dried powder is of high dispersivity without any need for further grinding. The size and dispersivity of the final particles are investigated with the aid of TG-DTA, BET, XRD and TEM. After having calcined, the antimony-doped tin oxide nanopowder possesses a tetragonal rutile structure with high dispersivity, uniform particles and low hard agglomeration.     

Effects of Mo on the Microstructure and Hydrogen Sorption Properties of Ti-Mo Getters

The effects of Mo on the microstructure evolution, porosity and hydrogen sorption properties of Ti-Mo getters are investigated in this work. The results show that the addition of Mo prolongs the densification process of Ti-Mo getters and results in a significant amount of sintered pores. With the Mo content increasing, the porosity of getters firstly increases reaching the maximum value as it at- tains about 7.5wt.%, and then drops. At the room temperature, the hydrogen sorption property of getters increases progressively with the Mo content increasing, but the tendency is not very clear before its content lies below 2.5wt.%. When the Mo content achieves about 7.5wt.%, the hydrogen sorption property proves to be the best. The discussion is made about the above mentioned phenomena inclusive of hydrogen sorption properties of getters under different activation conditions (from 500-750 ℃).     

超声速燃烧数值模拟中的湍流与化学反应相互作用模型

高精度数值模拟有助于理解超声速湍流燃烧中湍流与化学反应的相互作用,可为发动机燃烧室等工程应用设计提供可靠的预测模型。除直接数值模拟外,目前在湍流燃烧应用中使用的大涡模拟和雷诺平均Navier-Stokes模拟均需要借助模型模化发生在湍流小尺度上的流动与化学反应过程对湍流大尺度运动的影响。现有的湍流与化学反应相互作用模型大致可分为:火焰面类模型和概率密度函数类模型,2类模型在不同的应用中各自具有优势和局限性。此外,现有模型大都基于低马赫数燃烧,而超声速燃烧中通常会伴随快速混合、局部熄火和再着火以及激波等复杂过程,这为发展其中的湍流与化学反应相互作用模型提出了更多的挑战。     

适于低轨卫星IP网络的单核共享树组播算法(英文)

为了解决低轨卫星IP网络中现有典型源组播算法的信道资源浪费问题,本文提出了一套单核共享树组播算法,即核心群合并共享树(CCST)和加权核心群合并共享树(w-CCST)算法。CCST 算法包括动态近似中心(DAC)选核方法和核心群合并组播路径构建方法。DAC方法专为周期、规律运动的低轨卫星网络提出,不需要复杂的星上计算。在核心群合并方法中,以核节点作为初始核心群,通过核心群和剩余组成员的最短路径方法逐步扩展直至整棵组播树构建完成,从而使得组播树的树代价最小,大大提高了网络的带宽利用率和组播传输效率。w-CCST 算法中所提出的加权因子可以调整树代价和端到端传播时延之间的折衷程度,因此,可以通过调整加权因子来适度增大树代价、降低端到端传播时延以支持某些端到端时延要求苛刻的实时组播业务。最后,与低轨卫星 IP 网络中典型算法进行了性能比较,仿真结果说明,CCST 算法的平均树代价比其它算法显著降低,w-CCST 算法的平均端到端传播时延小于 CCST 算法。     

Jet Vectoring Control Using a Novel Synthetic Jet Actuator

A primary air jet vectoring control system with a novel synthetic jet actuator (SJA) is presented and simulated numerically. The results show that, in comparison with an existing traditional synthetic jet actuator, which is able to perform the duty of either “push” or “pull”, one novel synthetic jet actuator can fulfill both “push” and “pull” functions to vector the primary jet by shifting a slide block inside it. Therefore, because the new actuator possesses greater efficiency, it has potentiality to replace the existing one in various appli- cations, such as thrust vectoring and the reduction of thermal signature. Moreover, as the novel actuator can fulfill those functions that the existing one can not, it may well be expected to popularize it into more flow control systems.     

Nonlinear Adaptive Slewing Motion Control of Spacecraft Truss Driven by Synchronous V-gimbaled CMG Precession

The slewing motion control of a truss arm driven by a V-gimbaled control-moment-gyro (CMG) is a nonlinear control problem. The V-gimbaled CMG consists of a pair of gyros that must precess synchronously. The moment of inertia of the system, the angular momentum of the gyros and the external disturbances are not exactly known. With the help of feedback linearization and recursive Lyapunov design method, an adaptive nonlinear controller is designed to deal with the unknown items. Performance of the proposed controller is verified by simulation.     

An SOR Implicit Time-accurate Scheme in Calculating Unsteady Flows

A new time-accurate marching scheme for unsteady flow calculations is proposed in the present work. This method is the combination of classical Successive Over-Relaxation (SOR) iteration method and Jacobian matrix diagonally dominant splitting method of LUSGS. One advantage of this algorithm is the second-order accuracy because of no factorization error. Another advantage is the low computational cost because the Jacobian matrices and fluxes are only calculated once in each physical time step. And, the SOR algorithm has better convergence property than Gauss-Seidel. To investigate its accuracy and convergency, several unsteady flow computa- tional tests are carried out by using the proposed SOR algorithm. Roe’s FDS scheme is used to discritize the inviscid flux terms. Un- steady computational results of SOR are compared with the experiment results and those of Gauss-Seidel. Results reveal that the numerical results agree well with the experimental data and the second-order accuracy can be obtained as the Gauss-Seidel for unsteady flow computations. The impact of SOR factor is investigated for unsteady computations by using different SOR factors in this algorithm to simulate each computational test. Different numbers of inner iterations are needed to converge to the same criterion for different SOR factors and optimal choice of SOR factor can improve the computational efficiency greatly.