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3D displacement field measurement with correlation based on the micro-geometrical surface texture

机译:基于微几何表面纹理的具有相关性的3D位移场测量

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Image correlation methods are widely used in experimental mechanics to obtain displacement field measurements. Currently, these methods are applied using digital images of the initial and deformed surfaces sprayed with black or white paint. Speckle patterns are then captured and the correlation is performed with a high degree of accuracy to an order of 0.01 pixels. In 3D, however, stereo-correlation leads to a lower degree of accuracy. Correlation techniques are based on the search for a sub-image (or pattern) displacement field. The work presented in this paper introduces a new correlation-based approach for 3D displacement field measurement that uses an additional 3D laser scanner and a CMM (Coordinate Measurement Machine). Unlike most existing methods that require the presence of markers on the observed object (such as black speckle, grids or random patterns), this approach relies solely on micro-geometrical surface textures such as waviness, roughness and aperiodic random defects. The latter are assumed to remain sufficiently small thus providing an adequate estimate of the particle displacement. The proposed approach can be used in a wide range of applications such as sheet metal forming with large strains. The method proceeds by first obtaining cloud points using the 3D laser scanner mounted on a CMM. These points are used to create 2D maps that are then correlated. In this respect, various criteria have been investigated for creating maps consisting of patterns, which facilitate the correlation procedure. Once the maps are created, the correlation between both configurations (initial and moved) is carried out using traditional methods developed for field measurements. Measurement validation was conducted using experiments in 2D and 3D with good results for rigid displacements in 2D, 3D and 2D rotations.
机译:图像相关方法已广泛用于实验力学中以获得位移场测量值。当前,这些方法是使用喷涂有黑色或白色涂料的初始和变形表面的数字图像来应用的。然后捕获斑点图案,并以高精度将相关性执行到0.01像素的数量级。但是,在3D中,立体相关会导致较低的准确性。相关技术基于对子图像(或图案)位移场的搜索。本文介绍的工作介绍了一种新的基于相关性的3D位移场测量方法,该方法使用了额外的3D激光扫描仪和CMM(坐标测量机)。与大多数现有方法要求在被观察对象上存在标记(例如黑斑,网格或随机图案)不同,此方法仅依赖于微几何表面纹理(例如波纹度,粗糙度和非周期性随机缺陷)。假定后者保持足够小,从而提供了粒子位移的足够估计。所提出的方法可用于各种应用,例如具有较大应变的钣金成形。该方法通过首先使用安装在CMM上的3D激光扫描仪获得浊点来进行。这些点用于创建2D地图,然后将其关联。在这方面,已经研究了各种标准来创建由图案组成的图,这促进了相关过程。创建地图后,将使用为现场测量开发的传统方法来进行两种配置(初始和移动)之间的关联。使用2D和3D实验进行了测量验证,对于2D,3D和2D旋转中的刚性位移,结果都很好。

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