用于激光超声非接触检测的面型测量技术研究
[Abstract]:With the rapid development of industry, laser ultrasonic nondestructive testing technology is more and more widely used. At present, the objects of laser ultrasonic nondestructive testing are no longer confined to regular workpieces, such as plane and cylinder cylinders, but also in the fields of aerospace, nuclear power and other industries. Laser ultrasonic nondestructive testing (NDT) is also usually used to detect some curved surfaces with free-form surfaces. In order to solve the problem of laser ultrasonic automatic detection of complex curved surface workpiece, the State Administration of quality Supervision, Quarantine and Quarantine has carried out the development of the high temperature surface workpiece automatic detection equipment based on laser ultrasonic technology, which is a public welfare scientific research project. Under the background of the development of laser ultrasonic surface automatic detection system, in order to ensure the laser scanning along the normal direction of the object surface, in order to improve the accuracy of the system, In this paper, the object 3D model reconstruction scheme based on the multi-contour occlusion technology of monocular camera is used to extract the normal vector of the target surface. In this paper, an image acquisition system based on CMOS camera, lens, automatic turntable and computer is established. The calibration method of Zhang Zhengyou and mathematical calculation are used to calibrate the internal and external parameters of the system. The multi-angle image sequence of the target object is automatically collected by computer. The contour data of the target object in the image are extracted by binary processing, filtering and denoising, de-noising, and the coordinate transformation of the multi-angle contour sequence and its corresponding optical center point coordinate data are carried out. The unification of data in the world coordinate system is realized. Combined with 3D-Rhino software, the approximate three-dimensional model of object is obtained according to the principle of volume intersection. Aiming at the problem that the 3D model based on the principle of shading contour is larger than the actual size of the object, the linear variation law between the model size and the distance from the center of light to the object is obtained. Based on the inverse reduction of the expansion multiple of the model size compared with the actual size of the target object, the model is restored to the actual size of the target object, and the experimental results are verified. The normal vector of the object surface is extracted by point coordinate analysis on the reduced object 3D model. At the same time, the feasibility of the scheme is verified by two objects with simple to complex shapes. At last, how to use the normal vector of the target object to control the scanning azimuth of the probe in the laser ultrasonic automatic detection system is described. The paper realizes the combination of 3D reconstruction technology and laser ultrasonic nondestructive testing technology. The normal vector is extracted successfully to solve the problem of scanning direction control of the probe in the automatic detecting system of laser ultrasonic complex curved surface workpiece. This provides the basis for the development of laser ultrasonic surface automatic detection system.
【学位授予单位】:南京航空航天大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TB559
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