高压金属软管应力及参数敏感度分析

某型号发动机热试车考核中高压金属软管多次出现破坏。通过建立软管有限元模型,采用非线性有限元分析了软管应力分布和各部分承载特点,判断波峰处轴向应力是影响软管结构强度的主要因素,有限元计算结果和试验破坏部位一致,表明有限元模型的合理性。在此基础上,通过参数化建模、设计中心复合实验和进行参数敏感度分析,得出影响波峰处最大轴向应力的敏感参数,为结构参数优化提供了依据。     

多重纳米结构轻质高强铝基复合材料的制备和组织性能

为了研究多重纳米结构对块体材料强化和变形能力的影响机制,采用粉末冶金法制备了多重纳米结构的B4C颗粒增强铝基复合材料,并对复合材料的强化和形变破坏机制进行了定量和定性的讨论。由100%球磨复合粉末制备的块体复合材料的室温压缩强度为670MPa;当加入10vol%气雾化态的Al2024粉末后,复合材料的室温压缩强度升高到1.115GPa;之后随着气雾化态Al2024粉末含量的增加,复合材料的强度逐渐下降,但是没有产生明显的塑性变形;当气雾化态Al2024粉末的含量增加到50vol%时,复合材料的压缩强度下降到580MPa,断裂前变形率达到了10%。扫描电镜(SEM)和透射电镜(TEM)的分析结果显示,亚微米级的B4C颗粒、位错以及纳米晶基体分别通过Orowan强化、位错强化和细晶强化机制对复合材料进行强化;粗晶Al2024区域与复合结构区域的比例显著影响复合材料的形变及破坏机制。     

金属任意腐蚀损伤量的日历寿命计算模型和曲线

国际机械日历寿命研究,都是在假设已知腐蚀损伤容限Dc的前提下,求在这个Dc下的金属日历寿命。为了便于应用,本文不再假设腐蚀损伤容限Dc为已知数,而是把Dc当做变量,求金属任意腐蚀损伤量Di的日历寿命。本文通过多方面深入研究,发现腐蚀试验溶液的浓度dt与试验时间Ht的乘积除以试验获得的腐蚀损伤Dt等于一个常数。由此给出一种简单易行的金属任意腐蚀损伤量日历寿命的计算模型和相应的求解曲线。由此模型或曲线,可求得金属任意腐蚀损伤量的日历寿命。     

基于状态维修策略下的数据自动获取技术

阐述了在基于状态的维修策略下飞机状态参数的自动获取技术的实现过程和此过程中的技术难点,突破了飞机原厂家默认触发的状态数据的局限性,验证了以自主状态报文获取所需飞机状态数据的技术可行性,实现了飞机状态数据的自主筛选与传递。     

Lateral Flight Technical Error Estimation Model for Performance Based Navigation

Flight technical error (FTE) combined with navigation system error (NSE) is the main part of total system error (TSE) in performance based navigation (PBN).The implementation of PBN requires pre-flight prediction and en-route short-term dynamical prediction of the TSE.Once the sum of predicted lateral FTE and NSE is greater than the specified PBN value,the PBN cannot operate.Thus,accurate modeling and thorough analysis of lateral FTE are indispensible.Multiple-input multiple-output (MIMO) lateral track control system of a transport aircraft is designed using linear quadratic Gaussian and loop transfer recovery (LQG/LTR) method,and the lateral FTE of a turbulence disturbed approach operation is analyzed.The error estimation mapping function of latera FTE and its bound estimation algorithm are proposed based on singular value theory.According to the forming mechanism of lateral FTE,the algorithm considers environmental turbulence fluctuation disturbance,aircraft dynamics and control system parameters.Real-data-based Monte-Carlo simulation validates the theoretical analysis of FTE.It also shows that FTE is mainly caused by turbulence fluctuation disturbance when automatic flight control system (AFCS) is engaged and would increase with escalating environmental turbulence intensity.     

钛合金熔模精铸氧化锆陶瓷型壳／金属界面反应研究

通过实际浇注和真空扩散连接分别制取了钛／型壳界面，借助ＳＥＭ、ＥＰＭＡ和显微硬度仪等分析测试手段对所得界面进行了深入研究，初步提出了以Ｚｒ、Ｏ元素向钛基体内的扩散为主导的界面反应机制。实验结果表明，界面反应并非在整个界面上均衡推进，而是在浓度、温度、能量起伏、以及陶瓷颗粒位向适宜的区域优先发生界面反应     

WAVELET-BASED FAIRING OF B-SPLINE SURFACES

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摩擦作用下金属氧化反应的机理

某些金属在空气中摩擦时生成的润滑性氧化膜由于具有低摩擦系数、高耐磨性和自修复等特点越来越受到关注。摩擦过程中氧化膜的生成速度超过磨损速度是获得有效润滑的必要条件。摩擦氧化的动力学机制不同于热氧化，本文基于致密氧化膜的抛物线生长模型研究了摩擦状况下的氧化膜生长规律，使之尽早获得推广应用，具有广阔的市场前景     

基于锥形压入的材料力学性能测试方法研究

通过压入测试以获取工程服役结构、小型构件和焊接结构焊缝过渡区的材料单轴本构关系参数,且根据材料本构关系参数来估算材料的压入硬度对于工程设计和安全评估有重要意义.对于幂律材料,本文依据锥形压入试验原理和弹塑性接触有限元分析(EPFEA),揭示了不同锥角的锥形压头其压入能量比与屈服应力之间存在线性关系,提出了基于能量原理预测金属材料本构关系部分关键参数(弹性模量、屈服应力和硬化指数)的CR-EMI (Constitutive Relationship based on Energy Method of Indentation)方法.同时,基于此种线性关系提出了由Hollomon本构关系模型参数预测硬度的H-EMI(Hardness based on Energy Method of Indentation)方法.通过对多种金属材料进行压入试验和有限元分析,验证了CR-EMI方法和H-EMI方法的有效性与精确性.     

An artificial neural network approach for aerodynamic performance retention in airframe noise reduction design of a 3D swept wing model

With the progress of high-bypass turbofan and the innovation of silencing nacelle in engine noise reduction, airframe noise has now become another important sound source besides the engine noise. Thus, reducing airframe noise makes a great contribution to the overall noise reduction of a civil aircraft. However, reducing airframe noise often leads to aerodynamic perfor-mance loss in the meantime. In this case, an approach based on artificial neural network is intro-duced. An established database serves as a basis and the training sample of a back propagation (BP) artificial neural network, which uses confidence coefficient reasoning method for optimization later on. Then the most satisfactory configuration is selected for validating computations through the trained BP network. On the basis of the artificial neural network approach, an optimization pro-cess of slat cove filler (SCF) for high lift devices (HLD) on the Trap Wing is presented. Aerody-namic performance of both the baseline and optimized configurations is investigated through unsteady detached eddy simulations (DES), and a hybrid method, which combines unsteady DES method with acoustic analogy theory, is employed to validate the noise reduction effect. The numerical results indicate not merely a significant airframe noise reduction effect but also excel-lent aerodynamic performance retention simultaneously.