Bolt insertion damage and mechanical behaviors investigation of CFRP/CFRP interference fit bolted joints

Interference fit has advantages in improving fatigue behaviors of composite bolted joints; however, interference fit bolt insertion tends to cause damages in laminates weakening joint mechanical properties. Therefore, an experimental study was conducted to investigate bolt insertion damages of Carbon Fiber Reinforced Polymer (CFRP)/CFRP interference fit bolted joints. Mechanical behaviors of joints were also evaluated experimentally under both quasi-static loads and cyclic loads. Scanning Electron Microscope (SEM) and high-resolution X-ray micro-CT scan were used to examine micro damages in laminates. Damage and failure behaviors of joints were characterized. The results demonstrated that the hole entrance in upper laminate and the laminate boundary near the hole wall were the most critical regions for damages during bolt insertions. However, the influence of those damages on quasi-static failure loads and fatigue failure modes of joints was minimal. Delamination and matrix cracking occurred first in laminates following fiber and matrix fracture in quasi-static tensile tests. Interference fit could improve the fatigue resistance of the laminate hole; however, the bolt seemed to suffer a more critical local fatigue loading condition. This paper can contribute to composite structure designs, especially in understanding damage and failure behaviors of composite bolted joints.     

芯材高度对三维中空夹芯复合材料低速冲击性能的影响

选取芯材高度分别为5、6、7 mm 的三维中空夹芯复合材料为研究对象,采用落锤式低速冲击试

验装置分别对上述材料进行8 J 能量的低速冲击测试,研究材料的低速冲击性能;利用Instron 3385H 型万能材

料试验机分别测试上述材料受到低速冲击载荷前后的压缩强度,研究材料受到低速冲击载荷后的压缩损伤容

限。结果表明:三维中空夹芯复合材料对低速冲击载荷比较敏感;随着芯材高度的增加,材料抗低速冲击性能

有所增加;低速冲击载荷使材料的剩余压缩强度大幅下降。

     

Prior-guided GAN-based interactive airplane engine damage image augmentation method

Deep learning-based methods have achieved remarkable success in object detection, but this success requires the availability of a large number of training images. Collecting sufficient training images is difficult in detecting damages of airplane engines. Directly augmenting images by rotation, flipping, and random cropping cannot further improve the generalization ability of existing deep models. We propose an interactive augmentation method for airplane engine damage images using a prior-guided GAN to augment training images. Our method can generate many types of damages on arbitrary image regions according to the strokes of users. The proposed model consists of a prior network and a GAN. The Prior network generates a shape prior vector, which is used to encode the information of user strokes. The GAN takes the shape prior vector and random noise vectors to generate candidate damages. Final damages are pasted on the given positions of background images with an improved Poisson fusion. We compare the proposed method with traditional data augmentation methods by training airplane engine damage detectors with state-of-the-art object detectors, namely, Mask R-CNN, SSD, and YOLO v5. Experimental results show that training with images generated by our proposed data augmentation method achieves a better detection performance than that by traditional data augmentation methods.     

某型航空发动机封严篦齿盘异型螺栓孔公差设计分析

为了有效降低孔边应力水平,以某型航空发动机封严篦齿盘5参量单轴对称异型孔为研究对象。针对此类异型孔的公差设计问题,利用蒙特卡洛模拟技术,通过构造异型孔孔边应力状态的响应面函数以对设计参数进行灵敏度分析,确定了需要给定公差的设计变量。讨论了异型孔的重要设计尺寸公差带对孔边应力分布及配合的影响,并参照美制紧固件螺栓通孔设计标准,确定了此类异型孔尺寸公差选取应满足的强度要求及装配等级。     

HTPB复合固体推进剂率相关损伤机理分析与验证

固体发动机在点火过程中常由于结构完整性问题而出现爆炸或性能曲线异常等问题，结合发动机在点火状态下推进剂的受载情况，亟待探索固体推进剂的率相关损伤机理。本研究从某HTPB复合固体推进剂在宽温和宽应变率下单向定速拉伸试验的力学响应特征入手，针对应力-应变曲线呈现的“双峰”、“脱湿”点前后移位等现象阐释了推进剂的率相关界面损伤特性。然后，基于建立的推进剂细观有限元模型对推进剂的率相关损伤过程进行了仿真计算，通过提取有限元分析结果的损伤界面分析了推进剂的界面损伤机理。最后，通过高速摄像试验的结果对损伤机理进行了验证。结果表明，推进剂的界面损伤过程具有很强的率相关性，“双峰”和“脱湿”点前后移位均与推进剂在不同应变率下拉伸时内部的损伤演化过程有关。通过对比推进剂在不同应变率下拉伸时断裂前的形貌，高应变率下AP颗粒析出数量较多，在一定程度上印证了本研究对推进剂损伤机理的阐释。     

基于矢量化检测联邦滤波的INS/BDS/地磁组合导航容错方法

组合导航能够将多种类型的导航信息进行结合,实现优势互补,因此成为了目前导航应用领域的主要发展方向。然而,导航信息的增多势必会引入更多的风险源,从而降低导航系统的可靠性。基于联邦滤波的容错方法是目前抑制故障信息影响的主要解决手段,但是现有的故障容错方法普遍采用统一的检测机制,没有根据各个导航子系统的误差传播特性针对性地构建故障检测模型,因此会引起较高的误警率与漏检率。针对上述问题,提出了基于矢量化检测联邦滤波的INS/BDS/地磁组合导航容错方法。通过构建面向INS/BDS/地磁不同导航信息的故障检测函数,能够实现更加准确的矢量化信息分配,从而可以有效避免可用导航信息的损失以及故障导航信息对整体系统的影响。仿真结果表明,提出的方法可以有效隔离不同类型的故障信息,并减小其对无故障导航信息及整体系统的影响,从而提高了组合导航的精度和可靠性。     

机身加筋壁板环向裂纹损伤容限试验与分析

机身壁板是飞机结构中的主要承力构件,也是损伤的主要产生部位,研究机身加筋壁板的裂纹扩展规律和剩余强度特性具有重要意义。在轴向拉伸载荷作用下,对含环向裂纹的机身加筋壁板进行损伤容限试验;利用ANSYS有限元软件对试验件进行应力强度因子分析,估算裂纹扩展寿命;基于线弹性断裂力学准则和线弹性断裂力学加塑性修正准则,计算剩余强度特征曲线,并对比分析计算结果和试验结果。结果表明:计算得到的裂纹扩展寿命与试验结果的相对误差为6.3%,满足工程要求;线弹性断裂力学加塑性修正准则估算的剩余强度更为合理,误差仅为2.6%,且偏安全。     

超声振动辅助切削对碳纤维增强树脂复合材料面下损伤影响的仿真研究

碳纤维增强树脂基复合材料（CFRP）在传统加工（OC）过程中存在着切削力过大、表面质量不佳、面下损伤较为严重等问题。为了改善上述问题，本文提出使用超声振动辅助切削（UVC）工艺加工CFRP，通过仿真分析对切削力与面下损伤深度进行研究。结果表明：使用UVC加工CFRP可降低13%~80%的切削力，且纤维方向角对切削力影响较小。与OC相比，UVC切削0°、45°纤维方向角的CFRP时可以减少约50%的面下损伤深度；在切削90°、135°纤维方向角的CFRP时虽然没有改善面下损伤深度，但取得了较为平整的已加工表面以及较小的损伤区域。     

UHMWPE/LDPE层合板复合材料损伤声发射信号识别

为了掌握UHMWPE/LDPE复合材料的损伤机理,运用声发射技术结合聚类分析方法建立不同损伤形式的声发射信号训练样本,通过神经网络实现损伤信号的识别,并分别探讨了训练函数、传递函数、网络结构等因素对识别率的影响。研究表明,由系统聚类可提取幅度、峰值频率、持续时间为模式特征,结合Kmeans聚类可建立11个类别共583信号的训练样本。以混淆矩阵为识别率指标,当训练函数为traingdx、隐层/输出层传递函数为tansig/logsig、隐层神经元数量为70时,网络的识别率达97.2%,为基于声发射技术的热塑性基体复合材料损伤识别提供参考。     

Interference mechanism and damage accumulation in high-speed cross scratches on hard brittle materials

Precision and low damage grinding of aviation optical elements can effectively improve the overall processing efficiency. The mechanism of high-speed cross scuffing of multiple abrasive particles has become an important factor affecting the forming quality of workpiece. Interaction of abrasive trajectory determines machined surface and subsurface morphology and damage.According to the relative motion trajectory of wear particles on the workpiece surface, a theoretical model of the trochoidal tra...