基于二维剪切散斑干涉的无人机缺陷检测  

UAV Defect Detection Based on Two-dimensional Digital Shearography

作　　者：于淼 唐小军 杨耀东 吴思进[1] YU Miao;TANG Xiaojun;YANG Yaodong

机构地区：[1]北京信息科技大学,北京100192 [2]北京卫星制造厂有限公司,北京100094

出　　处：《科技创新与应用》2023年第2期5-10,共6页Technology Innovation and Application

基　　金：国家自然科学基金项目(52075045);北京市自然科学基金项目(4212047)。

摘　　要：传统的数字剪切散斑干涉技术是一种有效的复合材料无损检测技术,但用于大曲率的无人机机头检测时,其所得到的缺陷二维坐标值难以精确转换为曲面的表面距离,导致应用不方便。针对该问题,提出基于二维光源移动数字剪切散斑干涉技术的无人机缺陷检测方法,利用该技术在一次检测过程中同时获得离面位移梯度分布和表面形貌,然后融合所得到的2种参数,快速定位缺陷并测量缺陷离特定位置的表面距离,因此实现无人机机头内部缺陷的快速检测和精确定位。The traditional digital shearography is an effective tool for non-destructive testing on composite materials.However,when it is used for UAV nose testing,it is difficult to accurately convert the obtained two-dimensional coordinates of the defect into the distance of the curved surface.Aiming at this problem,a UAV defect detection method based on two-dimensional digital shearography with source displacement is proposed.Using this method,the out-of-plane displacement gradient distribution and the contour can be obtained simultaneously in one test process.The two parameters obtained are fused to quickly locate the defect and measure the surface distance of the defect from a specific position,thus realizing the rapid detection and precise positioning of the defect inside the UAV nose.

关 键 词：无人机 无损检测 缺陷检测 数字剪切散斑干涉 位移梯度测量 

分 类 号：O439[机械工程—光学工程]