复合材料科学与工程Issue(5)：92-99,8.DOI:10.19936/j.cnki.2096-8000.20240528.013
基于超声导波和Y-Net的复合材料胶接质量检测研究
Research on bonding quality detection of adhesively bonded structure in composite plates based on guided wave and Y-Net
摘要
Abstract
In order to detect the interface bonding quality of the adhesively bonded structure in composite plates,this paper proposed an inversion imaging method for interface weak bonding defects based on ultrasonic guided wave detection technology and Y-Net convolutional neural network.In this paper,the phase velocity disper-sion curve and wave structure of the ultrasonic guided wave propagating in adhesively bonded structure in composite plates were calculated,from which the optimal excitation frequency and excitation mode suitable for detection were selected.A data set based on finite element simulation was created.The Y-Net was built,trained,verified and gen-eralized ability tested,while the defect guided wave detection data and reconstruction algorithm for probabilistic in-spection of defects(RAPID)imaging results were used as input,and the real bonding quality results were used as label data.Structural similarity index measure(SSIM)and peak signal-to-noise ratio(PSNR)were used to evalu-ate the inversion ability of Y-Net quantitatively.The experimental system was built,and the adhesively bonded structure in composite plates detection experiment was carried out.The results show that the method proposed in this paper can realize the bonding quality detection by means of inversion imaging of weak bonding defects,and the ima-ging results can accurately and high-quality characterize the position,shape,size and degree of weak bonding of weak bonding defects and other characteristics.关键词
复合材料/超声导波/卷积神经网络/弱粘接缺陷/反演成像Key words
composite/guided wave/convolutional neural network/weak bonding defect/inversion imaging分类
通用工业技术引用本文复制引用
张晓妍,曾周末,李健,陈世利,刘洋..基于超声导波和Y-Net的复合材料胶接质量检测研究[J].复合材料科学与工程,2024,(5):92-99,8.基金项目
国家自然科学基金(61773283) （61773283）
