基于非接触光声成像的碳纤维增强复合材料冲击损伤检测方法
Non-contact photoacoustic imaging-based detection of impact damage in carbon fiber reinforced plastic composites
丁凯旋 1陈冀景 1皮一涵 1李娇 2田震2
作者信息
- 1. 天津大学精密仪器与光电子工程学院 天津 300072
- 2. 天津大学精密仪器与光电子工程学院 天津 300072;天津大学佐治亚理工深圳学院 深圳 518067
- 折叠
摘要
为了探究碳纤维增强复合材料(CFRP)的损伤机制并对其制造过程进行质量监控,对CFRP的冲击损伤区域进行了高分辨无损检测.构建了全光式非接触光声显微(AONC-PAM)成像系统,利用自主开发的光学吸收结合背向散射的双对比度成像模式,对CFRP在不同冲击能量下的损伤区域进行高分辨率无损检测.实验结果显示,AONC-PAM 系统的空间分辨率为2.9±0.5 μm;双对比度成像策略能以 2 s/帧的速率同时获得基于光学吸收和表面散射特性的图像及两者叠加的双对比度图像;AONC-PAM系统显示了比通用明场显微镜系统更多的成像细节,包括碳纤维分布和其他微观缺陷如纤维断裂、错位、缺束和褶皱,可检测的微观缺陷尺寸达 10～20 μm,并实现了损伤区域的精准量化.
Abstract
To investigate the damage mechanism of carbon fiber reinforced plastics(CFRP)and monitor its manufacturing process quality,high-resolution non-destructive testing was conducted on the impact-damaged areas of CFRP.An all-optical non-contact photoacoustic microscopy(AONC-PAM)imaging system was constructed,utilizing a self-developed dual-contrast imaging mode combining optical absorption with backscattering,for high-resolution non-destructive testing of CFRP's damage areas under different impact energies.Experimental results showed that the spatial resolution of the AONC-PAM system was 2.9±0.5 μm.The dual-contrast imaging strategy enabled acquisition of images based on optical absorption and surface scattering characteristics simultaneously,as well as their overlay,at a rate of 2 seconds per frame.The AONC-PAM system revealed more imaging details compared to the conventional brightfield microscopy system,including carbon fiber distribution and other microscopic defects such as fiber breaks and delamination,missing bundles,and wrinkles,with detectable defect sizes ranging 10～20 μm,facilitating precise quantification of damaged areas.
关键词
无损检测/非接触光声显微镜/双对比度成像/碳纤维增强复合材料/冲击损伤Key words
non-destructive testing/non-contact photoacoustic microscopy/dual-contrast imaging/carbon fiber reinforced plastics/impact damages引用本文复制引用
基金项目
国家自然科学基金(82171989)
国家自然科学基金(62235013)
天津市杰出青年学者基金(20JCJQJC00190)
深圳市国际科技自主合作基金(GJHZ20210705142401004)
深圳市自然科学基金重点项目(JCYJ20200109150212515)
2022年深圳市高校稳定支持计划(20220618114319001)
出版年
2024
NETL
NSTL
万方数据