【作者】 耿鹤； 王国锋； 李旭为； 盛延亮；

【Author】 He Geng;Guofeng Wang;Xuwei Li;Yanliang Sheng;School of Mechanical Engineering,Tianjin University;

【机构】 天津大学机械工程学院；

【摘要】 针对纤维增强复合材料在钻削过程后需进行全面缺陷检测以避免产生经济损失的应用需求,研制了基于超声和图像处理的在机制孔缺陷检测系统。本文设计了一款包括超声、图像和压力传感器的检测末端执行器,然后基于超声波在介质中的衰减规律提出了信号补偿方法及快速成像算法,基于Zernike矩提出了圆孔边缘提取算法,将超声成像对分层缺陷的检测及图像处理算法对毛刺缺陷的检测相结合,实现了在VB.Net平台下复合材料制孔后的全面检测,克服了传统检测系统在空间和时间上的局限性以及单一检测方法的低鲁棒性。实验结果表明,所设计的在机制孔缺陷检测系统具有检测效率高、环境要求低、系统运行稳定等优点。更多还原

【Abstract】 To cater to less economic loss,comprehensive defect detection is needed for fiber reinforced composites after drilling,an on-machine defect detection system,based on ultrasonic detection and image processing,has been developed in this work.For this,a detection end-effector consisting of ultrasonic,image and pressure sensors is designed.Further,a signal compensation method,based on the ultrasonic attenuation rule in the medium and a circular hole edge extraction algorithm based on Zernike moment has been designed,the detection of delamination defect by ultrasonic imaging and the detection of burr defect by image processing algorithm are combined.Finally achieves ultrasound imaging using the Visual Basic.Net platform.The proposed system overcomes the spatial and temporal limitations and the low robustness of single detection method of the traditional detection system.The experimental results show that the on-machine defect detection system developed in this work has the advantages of high detection efficiency,low environmental requirements and stable operation.更多还原