基于ISIGHT的某型飞机发动机短舱防火结构设计

以某型发动机短舱为研究对象,依据 CCAR-25-R4适航条款要求,对短舱结构进行了防火区域的界定为考核短舱防火结构的受力状况,建立短舱后段防火结构有限元模型,完成了5种工况下的有限元分析:综合计算结果,选取其中最严重受力工况,结合发动机的安装和维护需求,开展短舱后段防火结构优化分析:最后以短舱中典型的钛合金防火平板、焊接板2种结构为例,开展了结构防火试验。试验结果表明,防火结构有良好的防火性,满足飞机设计要求。通过以上的结构优化、材料性能试验等流程,最终形成了一套短舱防火结构设计方法,降低了结构重量,加快了设计流程。     

三维编织复合材料圆柱壳轴压下的屈曲分析

根据边界层理论,采用奇异摄动法,考虑非线性前屈曲、大挠度和初始几何缺陷的影响,分析在固支条件下,三维四向编织复合材料圆柱壳在轴压下的屈曲和后屈曲性态,讨论了纤维体积含量、几何参数等因素对圆柱壳屈曲的影响.结果表明,纤维体积含量、编织角和初始缺陷对编织复合材料圆柱壳的影响是不可忽视的.     

基于导波原位检测的复合材料疲劳表征与寿命预测研究

随着复合材料在先进飞行器结构中占比的逐渐增加,复合材料在服役过程中力学性能的变化对飞行器整体的安全至关重要。为了实现基于导波原位检测的飞行器复合材料整体部件疲劳评估和寿命预测,首先,从宏观和细观的角度研究复合材料疲劳损伤演化规律;在此基础上,通过分析导波波场信息,探究导波相速度、模态能量比等特征在表征复合材料疲劳方面的潜力;其次,从复合材料损伤机理出发,建立导波相速度与疲劳损伤累积的演化模型;然后,构建深度学习框架,以数据驱动的方式从导波波场中提取疲劳演化特征;最后,提出基于贝叶斯模型平均方法的疲劳演化模型,对复合材料剩余疲劳寿命进行预测。结果表明：通过提取和分析导波特征信息,可以准确地对复合材料疲劳状态进行表征,结合贝叶斯模型平均方法和置信区间准则,实现了在试件疲劳破坏之前的剩余寿命预测。     

电子散斑测振技术在航空发动机上的应用

介绍了电子散斑测振技术的发展,侧重阐述了基于该技术的时间平均法测振的原理;重点介绍了该技术在航空发动机零部件振动测量、复合材料结构和蜂窝夹层结构的无损检测中的应用.     

材料特性对热障涂层合理压入深度的影响

基于有限元计算方法和量纲分析原理提出了热障涂层合理压入深度的确定方法,并研究了涂层及基体材料特性对合理压入深度的影响.首先,根据量纲分析原理提出了合理压入深度的无量纲表达式;其次基于锥形压头识别理想弹塑性材料的材料特性的方法,提出合理压入深度的确定方法;最后研究了各无量纲因素对合理压入深度的影响.研究发现基体的弹性模量对合理压入深度的影响最大,粘结层材料特性的影响较大,热氧化生成层的材料特性及基体的屈服极限对合理压入深度的影响不大.     

基于静强度分布的复合材料疲劳寿命分布的预测模型(英文)

The reasons of the static strength dispersion and the fatigue life dispersion of composite laminates are analyzed in this article. It is concluded that the inner original defects, which derived from the manufacturing process of composite laminates, are the common and major reason of causing the random distributions of the static strength and the fatigue life. And there is a correlative relation between the two distributions. With the study of statistical relationship between the fatigue loading and the fatigue life in the uniform confidence level and the same survival rate S-N curves of material, the relationship between the static strength distribution and the fatigue life distribution through a material S-N curve model has been obtained. And then the model which is used to describe the distributions of fatigue life of composites, based on their distributions of static strength, is set up. This model reasonably reflects the effects of the inner original defects on the static strength dispersion and on the fatigue life dispersion of composite laminates. The experimental data of three kinds of composite laminates are employed to verify this model, and the results show that this model can predict the random distributions of fatigue life for composites under any fatigue loads fairly well.     

Morphology and Frictional Characteristics Under Electrical Currents of Al203/Cu Composites Prepared by Internal Oxidation

Two AhO3/Cu composites containing 0.24 wt.% A1203 and 0.60 wt.% A1203 separately are prepared by internal oxidation.Effectsof sliding speed and pressure on the fi-ictional characteristics of the composites and copper against brass are investigated and compared.The changes in morphology of the sliding surface and subsurface are examined with scanning electron microscope (SEM) and energy dispersive X-ray spectrum (EDS).The results show that the wear resistance of the AI203/Cu composites is superior to that of copperunder the same conditions.Under a given electrical current,the wear rate of AI203/Cu composites decreases as the AleO3-content increases.However,the wear rates of the Al203/Cu composites and copper increase as the sliding speed and pressure increase under drysliding condition.The main wear mechanisms for AleO3/Cu composites are of abrasion and adhesion;for copper,it is adhesion,although wear by oxidation and electrical erosion can also be observed as the speed and pressure rise.     

航天材料对质子辐射防护性能的模拟研究

随着航天材料技术的飞速发展,先进复合材料(ACM)在航天器上的应用价值越来越大。文章从辐射防护角度对航天材料的防护性能作出评价。利用SRIM程序,先模拟各单元素材料的辐射防护性能,再结合实际模拟多种材料的辐射防护效果,对比分析先进复合材料在航天器质子辐射防护上的优势。     

Investigation on the interface damage in drilling low-stiffness CFRP/Ti stacks

Carbon fiber reinforced plastic and titanium alloy (CFRP/Ti) stacks have been widely used as aerospace structures because of their excellent combination of physical properties. Interface damage caused by interface gaps, significantly different from that of metal/metal stacks, is a common problem in the through-hole drilling of CFRP/Ti stacks with low stiffness. In this study, a force–deformation coupling model was developed to further examine the formation mechanism and the control method of interface damage. Firstly, the coupling model was built considering the interaction between the thrust force and the deformation. To solve this model, a numerical method was proposed in which specific cutting coefficients were calibrated using only the thrust force of rigid stacks. Secondly, drilling experiments were performed with different feed rates and bending stiffness. Experimental results indicate that interface damage mainly includes interlayer chips and surface damage of CFRP layers. The surface damage, which is irreparable, is caused by the rotary extension of metal chips along the interlayer gap. Thirdly, variations of the interface gap were calculated with the coupling model that had been verified by measured thrust forces. The damage area was found to have a linear dependence relation with the interlayer gap. However, in conditions of large gap sizes, the interface damage areas increased with the interlayer gap at high feed rates, while decreasing slightly at low feed rates. This phenomenon was satisfactorily explained by the presented model. Finally, a method was proposed to determine the appropriate pressure exceeding which no interlayer damage will occur. Additional drilling experiments proved the method effective. This study leads to further understanding of the forming mechanism of interlayer damage and of selecting appropriate parameters in drilling low-stiffness composite/metal stacks.     

Classification of solar wind structures and intense geomagnetic storm alarms with self-organizing maps

Intense geomagnetic storms (D_st < −100 nT) usually occur when a large interplanetary duskward-electric field (with Ey > 5 mV m⁻¹) lasts for more than 3 h. In this article, a self-organizing map (SOM) neural network is used to recognize different patterns in the temporal variation of hourly averaged Ey data and to predict intense storms. The input parameters of SOM are the hourly averaged Ey data over 3 h. The output layer of the SOM has a total of 400 neurons. The hourly Ey data are calculated from solar wind data, which are provided by NSSDC OMNIWeb and ACE spacecraft and contain information on 143 intense storms and a fair number of moderate storms, weak storms and quiet periods between September 3, 1966 and June 30, 2002. Our results show that SOM is able to classify solar wind structures and therefore to give timely intense storm alarms. In our SOM, 21 neurons out of 400 are identified to be closely associated with the intense storms and they successfully predict 134 intense storms out of the 143 ones selected. In particular, there are 14 neurons for which, if one or more of them are present, the occurrence probability of intense storms is about 90%. In addition, several of these 14 neurons can predict big magnetic storm (D_st  −180 nT). In summary, our method achieves high accuracy in predicting intense geomagnetic storms and could be applied in space environment prediction.