SMA管接头系统的蠕变及热应力分析

采用热-机械耦合的瞬态有限元分析方法,对一定温度下的形状记忆合金（SMA）管接头系统进行了分析,得出了系统的温度场、热应变场、应力场、蠕变应变结果,指出了管接头的中间内壁部分的交界面处是产生裂纹或脱粘的危险部位,提出了对系统不但要防止蠕变应力的破坏,而且更要注意预防管道产生的过大变形和蠕变应变的破坏,最终为SMA管接头系统的安全性指导和设计提供了理论依据。     

功能梯度形状记忆合金材料的热力学行为

功能梯度形状记忆合金（Functionally graded shape memory alloy,FG SMA）兼备功能梯度材料和形状记忆材料的双重特性,近年来已经引起科学界的广泛关注。本文根据复合材料力学理论,对功能梯度形状记忆合金复合材料层合板的本构关系进行研究,讨论了变温作用下不同铺层中嵌入形状记忆合金（Shape memory alloy, SMA）夹杂的功能梯度SMA复合材料层合板的热力学行为。数值结果与已有文献报导的研究结果基本一致,且本文研究表明：SMA夹杂嵌入在不同铺层中以及具有不同体积分数的情况下材料展示了不同的热力学行为。     

非晶态MgNi+x%B储氢合金的制备及其电化学性能

采用机械合金化方法制备了非晶态MgNi+x%B(x=0,2,5,10)储氢合金材料。XRD结构分析表明,含B三元合金的非晶衍射峰的半高宽较宽。合金电极的放电容量随B含量的增加先增加后减小,MgNi+5%B合金电极的放电容量较MgNi合金电极提高了11.9%。合金电极的循环稳定性随B含量的增加而增加,MgNi+10%B合金电极的容量保持率S10较MgNi合金电极提高了67.76%。添加B改善了合金电极的动力学性能,MgNi+5%B合金电极的HRD400、I0和IL分别较MgNi合金电极提高了40.0%,351.5%和20.21%。     

端羧基丁腈橡胶改性环氧形状记忆聚合物

以甲基四氢邻苯二甲酸酐(METHPA)为固化剂,利用端羧基丁腈橡胶(CTBN)改性环氧树脂(EP)制备形状记忆聚合物。研究了形状记忆环氧树脂的力学性能、玻璃化转变温度和形状记忆性能。研究表明,形状记忆环氧树脂的韧性得到明显的提高,Tg得到了相应的下降,形状记忆性能良好,形状固定率皆在97%以上,形状回复率约达100%。     

Nb-Si 基超高温合金的研究进展

Nb-Si基超高温合金由于熔点高、密度低和优良的高温强度等特点受到广泛关注,极具作为下一代高推重比航空发动机和超然冲压发动机的热端部件用材料的潜力.本文主要介绍了国内外在合金化、粉末冶金、定向凝固和热处理工艺对Nb-Si基合金组织和性能影响等方面的研究现状,并展望了其发展趋势.     

TC4钛合金锥形环热辗轧应变及温度场对轧辊尺寸的响应规律

 提出采用等效半径来描述锥形轧辊(驱动辊和芯辊)及锥形环坯的呈线性变化的径向尺寸,进而建立了确定锥形环件辗轧关键工艺参数合理范围的方法。基于ABAQUS软件平台,研究建立了TC4钛合金锥形环热辗轧三维热力耦合有限元模型,进而模拟阐明了TC4钛合金锥形环热辗轧过程应变及温度场对轧辊尺寸(等效半径)的响应规律与机理。主要结果表明:随着驱动辊等效半径增大,环件内侧等效塑性应变及温度明显增大,环件温度分布越均匀;随着芯辊等效半径增大,环件内侧等效塑性应变及温度明显减小,温度分布越不均匀;驱动辊和芯辊各存在一个最佳的等效半径,使得环件应变分布最均匀。     

Electron Beam-Physical Vapor Deposited TiAl-based Laminated Composite Sheet with Nb Layer Toughening

The TiAl-based laminated composite sheet of 150mm×100 mm×0.2mm, with 24 TiAl layers and 23 Nb layers laid alternately one on another, was successfully fabricated using the electron beam-physical vapor deposition (EB-PVD) method. The microstructure and properties of the sheet were investigated on an atomic force microscope (AFM), a scanning electron microscope (SEM) and a tensile testing machine. The results indicate that the evenly distributed Nb layers are well joined with the TiAl layers, and the interfaces between layers are transparent, and every interlayer spacing is of about 8 μm. The fractures appear to be a mixture of intergranular fractures and somewhat ductile quasi-cleavage ones. Despite its slight influence on ultimate tensile strength, the inserts of Nb layers efficiently in-crease the room temperature ductility of TiAl-based alloys due to the crack deflection effect.     

分布式实时飞行仿真中的联接技术

分布式仿真系统可采用的联接方式主要有物理共享内存总线、消息传递网络和复制共享内存网络三种。物理共享内存总线和消息传递网络在分布式实时仿真中存在技术上的不足．但它们之间具有一定的互补性．复制共享内存网络将它们两者的优点有机地结合起来．成为一种适用于实时系统分布式仿真的理想方式．文章对这些技术分别进行了阐述。最后，针对分布式飞行仿真的特殊要求．介绍了复制共享内存网络的具体应用。     

Adaptive modification of turbofan engine nonlinear model based on LSTM neural networks and hybrid optimization method

An accurate and reliable turbofan engine model which can describe its dynamic behavior within the full flight envelop and lifecycle plays a critical role in performance optimization, controller design and fault diagnosis. However, due to the performance differences caused by the tolerance of engine manufacturing and assembly, and performance degradation during continuously stringent environmental regulations, the model accuracy is severely reduced. In this paper, an adaptive modification method of turbofan engine nonlinear Component-Llevel Model (CLM) based on Long Short-Term Memory (LSTM) Neural Network (NN) and hybrid optimization algorithm is pro-posed. First, a dynamic compensator with a combined LSTM NN architecture is constructed to compensate for the initial error between the experimental data and CLM of a turbofan engine under health condition. Then, a sensitivity analysis approach based on the entropy coefficient and technique for order preference by similarity to an ideal solution integrated evaluation is developed to choose the unmeasurable health parameters to be adjusted. Finally, a parallel hybrid optimization algorithm is developed to complete the adaptive model modification when the performance degrades. The proposed method is verified on a military low-bypass twin-spool turbofan engine, and the experimental results show the effectiveness of the proposed method.     

SMA复合材料低速冲击数值模拟方法

利用形状记忆合金(shape memory alloy,SMA)独特的超弹性效应,提出一种利用形状记忆合金提高复合材料结构抗低速冲击性能的方法.基于形状记忆合金的分段化线性简化模型,利用ABAQUS有限元软件提供的VUMAT子程序编制了SMA合金超弹性本构关系并将其引入到复合材料层板低速冲击模型,提出了含SMA复合材料低速冲击数值模拟方法.研究形状记忆合金利用迟滞阻尼特性吸收部分形变能量并加以释放的过程,探讨SMA纤维对复合材料层板抗冲击性能的增强规律.结果表明,随着SMA体积分数的提高,复合材料层板的冲击应力峰值和挠度会下降,但在低SMA体积分数(<10%)情况下,对挠度的改善作用不明显;同时随着SMA体积分数增加,单位体积SMA的冲击能量吸收率会降低,在SMA体积分数为5%~10%时,SMA纤维具有最高的能量吸收率.得出了SMA纤维具有改善复合材料抗冲击性能的作用的结论.