Smart hybrid composite sensor technology to enhance the detection of low energy impact damage in composite structures
Smart hybrid composite sensor technology to enhance the detection of low energy impact damage in composite structures
复制标题
智能混合复合材料传感器技术可增强复合材料结构中低能量冲击损伤的检测
DOI：
10.1016/j.compositesa.2023.107595
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Fotouhi S
中科院分区：
文献类型：
--
作者：
Fotouhi S
本文介绍了新型结构健康监测（SHM）传感器，以提高检测低能量冲击损伤的层压复合材料。该传感器是一种专门设计的薄层混合复合材料，由一层单向S-玻璃/环氧树脂和另一层单向超高模量（UHM）碳/环氧树脂组成。该传感器被结合到由单向T800碳/MTM 49 -3环氧树脂板制成的基板的受冲击面和背面上，其中堆叠顺序为[45/0/90/-45 ° 4S。在具有和不具有附着的混合传感层的复合材料板上进行了一系列落塔测试，具有两种不同的面内尺寸和范围从3 J到124 J的不同能量水平。结果表明，传感器的功能令人满意，并提供直接的相关性之间的可见和内部隐藏的损伤检测的C扫描。传感器可以通过选择适当的材料特性并将其调整到衬底的面内尺寸来优化。
This paper introduces novel structural health monitoring (SHM) sensors to improve the detection of low energy impact damage in laminated composites. The sensor is a purposely designed thin-ply hybrid composite, composed of a layer of unidirectional S-glass/epoxy and another layer of unidirectional ultra-high modulus (UHM) carbon/epoxy. The sensor was incorporated onto both the impacted face and back of a substrate plate made from unidirectional T800 carbon/MTM49-3 epoxy prepregs with the stacking sequence of [45/0/90/-45]4S. A series of drop tower tests were conducted on the composite plates with and without the attached hybrid sensing layer, with two different in-plane dimensions and varying energy levels ranging from 3 J to 124 J. The results indicate that the sensors functioned satisfactorily and provided direct correlations between visible and internal hidden damage detected by C-scan. The sensor can be optimized by selecting appropriate material properties and adjusting it to the in-plane dimensions of the substrate.
登录
查看更多内容
影响因子：
2.9
作者：
Y. Siow;V. Shim
通讯作者：
Y. Siow;V. Shim
影响因子：
6.3
作者：
R. Olsson;S. Nilsson
通讯作者：
R. Olsson;S. Nilsson
具有离轴加载伪延展行为的高性能准各向同性薄层碳/玻璃混合复合材料
影响因子：
6.3
作者：
M. Fotouhi;M. Jalalvand;M. Saeedifar;B. Xiao;M. Wisnom
通讯作者：
M. Wisnom
弯曲试验中单向碳纤维复合材料的压缩破坏应变
影响因子：
6.3
作者：
Xun Wu;M. Wisnom
通讯作者：
M. Wisnom