飞机二次共固化蒙皮超声检测缺陷信号的识别方法

基金项目:

国家自然科学基金资助项目（51601175）

详细信息

Identification of defect signals of ultrasonic testing of aircraft secondary co-cured skin

摘要: 针对飞机二次共固化蒙皮结构部分位置的典型缺陷，结合CIVA软件理论仿真与实际检测数据的比对，总结出不同类型不同位置缺陷的典型特征。结果可以作为缺陷识别的指导，以便于检测人员更加准确地定性判断缺陷，也验证了CIVA软件仿真可以为检测工艺的制定提供支持。
- 碳纤维复合材料 /
- 二次共固化蒙皮 /
- 超声检测
Abstract: Aiming at the detection of some typical defects in the secondary co-cured skin structure of aircraft, the typical characteristics of different types of defects in different positions are summarized by comparing the CIVA software theory simulation with the actual detection data. Results presented in the paper can be used as a guide for defect identification, and are convenient for inspectors to make qualitative judgment of defects more accurately. It is also verified that CIVA simulation can provide support for the formulation of detection process.
- carbon fiber composite /
- secondary co-cured skin /
- ultrasonic testing

[1]	周长庚,荀国立,邱启艳,等.航空复合材料整体成型技术应用现状与分析[J].新材料产业,2016(5):52-57.
[2]	李衍.NDT仿真平台的新应用[J].无损探伤,2017,41(4):1-6.