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Numerical technique for the space discretization of resin infusion mould sensing with artificial vision

机译:人工视觉感应树脂灌注模具空间离散化的数值技术

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On-line control strategies are used to ensure full reliability of Resin Infusion processes. The top half of the mould is transparent or translucent, allowing the use of artificial vision as a sensor for mould filling processes. It has been recently introduced for Liquid Composite Molding processes [1], [2], [3]. In this sense, the CCD sensor can be considered as a matrix of nodes that produces a space discretización. It implies that it is possible to relate the regions defined by the finite elements used in the process numerical simulations and the image. Therefore, it is possible to define a single camera vision sensor as a space discretizer and to relate it directly with on-line Finite Element discretization. Also is possible to relate an off-line mesh with camera vision sensor. In both cases, a direct relationship between the FEM or proxy simulations and the real process evolution can be defined. The mould complexity for real 2.5D resin infusion process can be easily solved including multiple cameras and calibrated them with Stereovision techniques [4]. As a result, a 2.5D mould mesh is obtained where the camera vision acts as Finite Element mesher and process sensor simultaneously.
机译:在线控制策略用于确保树脂灌注过程的完全可靠性。模具的上半部分是透明或半透明的,允许将人工视觉用作模具填充过程的传感器。最近已将其引入液体复合成型工艺[1],[2],[3]。从这个意义上讲,CCD传感器可以看作是产生空间离散的节点矩阵。这意味着可以将过程数值模拟中使用的有限元所定义的区域与图像相关联。因此,可以将单个摄像机视觉传感器定义为空间离散器,并将其直接与在线有限元离散化相关。也可以将离线网格与相机视觉传感器相关联。在这两种情况下,都可以定义FEM或代理仿真与实际过程演变之间的直接关系。真正的2.5D树脂灌注工艺的模具复杂性可以轻松解决,包括多个摄像头,并使用Stereovision技术进行校准[4]。结果,获得了2.5D模具网格,其中相机视觉同时充当有限元网格器和过程传感器。

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