某型无人机起落架放下阶段缓冲器气液流动特性研究

在设计飞机油气混合型式的可收放起落架时,应充分考虑其内腔之间的介质流动特性。以某型无人机起落架缓冲器阻尼孔径、充油量为研究对象,采用单因素实验法对各因素引起的缓冲器内部气液流动变化进行分析,通过Fluent软件对放下阶段不同阻尼孔径、充油量下的缓冲器气液特性进行仿真计算。结果表明：起落架放下过程缓冲器阻尼孔油液流量只与孔径大小有关,不受缓冲器充油量影响;在该型号无人机要求的637 mL充油量下,缓冲器阻尼孔孔径应大于6 mm;对于其他型号起落架缓冲器,当确定了充油量后,应将满足放下阶段缓冲器气液充填作为缓冲器阻尼孔设计标准之一。     

某单室双推力复杂翼柱形燃烧室的两相流数值分析

针对某单室双推力翼柱形药柱导弹在研制过程中多次出现烧穿现象,开展了数值模拟研究,考察了发动机两相流动情况.模拟结果表明,缓燃药柱前翼设计不合理,造成流场中存在壁面附着涡团,恶化了热防护条件,造成壳体烧穿.数值模拟得到的涡团位置与尺寸和实验烧穿部位吻合.经试验验证,取消前翼设计后,切向涡消失,发动机不再烧穿.     

发动机进口支板防冰热负荷数值模拟

为研究航空发动机进口防冰问题,应用三维雷诺平均N—S方程和双方程k～ε模型,计算了某发动机进口支板外部空气流场,用欧拉法建立并求解了空气中过冷水滴控制方程;选取某些飞行工况,得到了支板防冰表面的水滴撞击特性,且分别在干、湿蒸发2种情况下得到了表面的防冰热负荷分布。可以此为基础进行支板表面加热形式和结构设计.     

五种智能算法解决最大割问题分析与比较

最大割问题（Max—eulProblem）是一个典型的NP难组合优化问题。文章采用遗传算法、分布估计算法、Hopfield网络方法、蚁群算法、粒子群算法等5种算法对最大割问题进行求解,并用标准的多个不同规模最大割测试数据进行测试,研究各参数对算法的影响,并比较各种算法的时间复杂度和空间复杂度。测试结果表明该五种算法虽然在执行效率上有差异,但都能较好的解决最大割问题。     

Numerical simulation of multi-phase combustion flow in solid rocket motors with metalized propellant

Multi-phase flowfield simulation has been performed on solid rocket motor and effect of multi-phases on the performance prediction of the solid rocket motor(SRM) is investigation.During the combustion of aluminized propellant,the aluminum particles in the propellant melt and formliquid aluminum at the burning propellant surface.So the flow within the rocket motor is multi phase or two phase because it contains droplets and smoke particles of Al2O3.Flowsi mulations have been performed on a large scale motor,to observe the effect of the flowfield onthe chamber and nozzle as well.Uniform particles diameters and Rosin-Rammler diameter distribution method that is based on the assumption that an exponential relationship exists betweenthe droplet diameter,dand mass fraction of droplets with diameter greater thandhave been used for the si mulation of different distribution of Al2O3 droplets present in SRM.Particles sizes in the range of 1-100μm are used,as being the most common droplets.In this approachthe complete range of particle sizes is dividedinto a set of discrete size ranges,eachto be defined by single streamthat is part of the group.Roe scheme-flux differencing splitting based on approxi mate Riemann problem has been used to si mulate the effects of the multi-phase flowfeild.This is second order upwind scheme in which flux differencing splitting method is employed.To cater for the turbulence effect,Spalart-All maras model has been used.The results obtained show the great sensitivity of this diameters distribution and particles concentrations to the SRMflowdynamics,primarily at the motor chamber and nozzle exit.The results are shown with various sizes of the particles concentrations and geometrical configurations including models for SRM and nozzle.The analysis also provides effect of multi-phase on performance prediction of solid rocket motor.     

镁基水冲压发动机三维两相反应流场研究

建立了镁基金属燃料/水冲压发动机三维两相反应流动模型,提出了采用燃烧效率修正一次燃烧温度的方法,对某试验发动机理想和实际工作状态进行了数值模拟,得到了发动机内流场分布趋势,并对计算与试验结果进行了对比,分析了产生误差的原因。结果表明修正燃烧温度后模型更能反映发动机实际工作状态及内流场分布,雾化效果和发动机热损失是影响发动机性能的重要因素,实际工作过程中由于存在凝相金属镁使计算燃烧效率大于试验燃烧效率。     

超音频脉冲TIG焊电源拓扑及电弧焊适用性

研制出一台超音频直流脉冲TIG(Tungsten Inert Gas)焊电源,对该电源的拓扑结构及工作原理进行了介绍.与常规直流TIG焊电源相比,该电源可输出不同频率、均具有陡峭的上升、下降沿的脉冲电流,电流变化率大于50A/μs.该电源的基值电流、峰值电流、脉冲电流频率、占空比等焊接工艺参数调节方便,使该电源不仅能够焊接薄板,而且能够适用于中厚板的焊接.通过对比常规直流TIG焊和超音频直流脉冲TIG焊焊接的1Cr18Ni9Ti奥氏体不锈钢焊缝的微观组织,发现采用超音频直流脉冲TIG焊工艺的焊缝粗晶区变窄,晶粒细化现象显著.试验结果表明:所研制的超音频脉冲TIG焊电源具有良好的弧焊适用性.     

歼击机座舱空气流动和传热模拟实验

对某型歼击机座舱的空气流动和传热进行了全尺寸地面模拟实验.模拟了气动热载荷和人体热载荷,并使用ATM2400型36通道多点气流和温度测量系统测量了5个测试面的速度场以及其中两个测试面和邻近服装表面的温度场.观察了供气流量和集中喷嘴开关对舱内空气流动状态和温度分布的影响,评价了该座舱的舒适性.结果表明:舱内速度场 并非相对座舱纵向中心面对称分布,而座舱内壁面温度分布亦极不均匀;集中喷嘴全开和全关时,舱内气流速度场和温度场及邻近服装表面空气温度的分布情况差别显著,但对舱内气流平均速度和平均温度的影响不大;舱内气流平均速度随供气量呈线性变化.实验结果可为数值模拟提供验证依据.     

基于DDS的实时中间件的研究与设计

为满足分布式实时应用的需求,项目管理组（OMG：ObjectManagementGroup）提出并发布了实时系统用数据分配业务（DDS：DataDistributionServiceforReal-timeSystems）规范。基于该规范,本文研究了发布／订阅系统的理论模型,设计了一个灵活、可靠的实时中间件（RTDDS...     

航天器非平稳振动环境TVAR时频分析(英文)

Predicting the time-varying auto-spectral density of a spacecraft in high-altitude orbits requires an accurate model for the non-stationary random vibration signals with densely spaced modal frequency. The traditional time-varying algorithm limits prediction accuracy, thus affecting a number of operational decisions. To solve this problem, a time-varying auto regressive （TVAR） model based on the process neural network （PNN） and the empirical mode decomposition （EMD） is proposed. The time-varying system is tracked on-line by establishing a time-varying parameter model, and then the relevant parameter spectrum is obtained. Firstly, the EMD method is utilized to decompose the signal into several intrinsic mode functions （IMFs）. Then for each IMF, the PNN is established and the time-varying auto-spectral density is obtained. Finally, the time-frequency distribution of the signals can be reconstructed by linear superposition. The simulation and the analytical results from an example demonstrate that this approach possesses simplicity, effectiveness, and feasibility, as well as higher frequency resolution.