基于红外热波技术的起重机械金属气孔缺陷识别  

Identification of Metal Air Hole Defect of Lifting MachineryBased on Infrared Thermal Wave Technology

作　　者：李向东[1] 殷晨波[2] 陈曦[2] 黄凯[1] LI Xiang-dong;YIN Chen-bo;CHEN Xi;HUANG Kai(Special Equipment Safety Supervision Inspection Institute of Jiangsu Province,Nanjing 210003,China;Institute of Automobile and Construction Machinery,Nanjing Tech University,Nanjing 211816,China)

机构地区：[1]江苏省特种设备安全监督检验研究院,江苏南京210003 [2]南京工业大学车辆与工程机械研究所,江苏南京211816

出　　处：《机械工程与自动化》2020年第2期174-176,共3页Mechanical Engineering & Automation

摘　　要：起重机械金属材料常见的气孔缺陷识别是脉冲式红外热波检测技术的研究新方向。介绍了脉冲式红外热波检测技术原理,利用ANSYS Workbench对高能脉冲闪光灯热激励下金属板材试件内部热流传递过程进行了仿真分析,并搭建了红外热波无损检测系统;对采集的图像在OpenCV环境下实现了缺陷轮廓特征提取,分别对图像进行灰度转化、高斯滤波、图像二值化得到黑白位图,最终提取出热图像中的缺陷特征。通过仿真分析与试验证明,该方法可应用在起重机械金属材料的无损检测领域。The identification of air hole defects common to lifting machinery metal materials is a new research direction of pulsed infrared heat wave detection technology.The principle of pulsed infrared thermal wave detection technology is introduced,and the internal heat flow transfer process of metal sheet specimens under the thermal excitation of high-energy pulsed flash light is simulated using ANSYS Workbench.An infrared thermal wave nondestructive detection system is set up.Defective contour feature extraction was performed on the acquired image in the OpenCV environment.The grayscale transformation,Gaussian filtering,and image binarization are performed on the image to obtain black and white bitmaps,and the defect features in the thermal image are finally extracted.The simulation analysis and experiments prove that the method can be applied in the field of non-destructive testing of lifting machinery metal materials.

关 键 词：脉冲红外热波检测 气孔缺陷 起重机械 轮廓特征 

分 类 号：TP274.52[自动化与计算机技术—检测技术与自动化装置] TN911.73[自动化与计算机技术—控制科学与工程]