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A Measuring Method of Flexible Bar based on Machine Vision

机译:基于机器视觉的柔性杆测量方法

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This paper studies a high-precision measuring method about minimum thickness of thin neck and bending rigidity of flexible bar based on machine vision. The measurement system combines with the advantages of image vision inspection and laser displacement detection. After rough leveling and precise leveling to the clamped workpiece through the interworking of the camera, laser displacement sensor and servo motor, the image of thin neck and the upper profile of workpiece are captured by camera and laser displacement sensor respectively. Then the workpiece is rotated 180° through servo motor so as to capture the image of thin neck again and detect the bottom profile. Based on the two groups of images and profiles acquired above, we can figure out the minimum thickness of thin neck and bending rigidity of the workpiece with high precision. The effectiveness and feasibility of this method are confirmed by computer simulation with ANSYS software and experimental results with needle gauge and flexible bar.
机译:本文研究了基于机器视觉的柔性杆薄颈部和弯曲刚度的最小厚度的高精度测量方法。测量系统与图像视觉检查和激光置换检测的优点相结合。在通过相机的互通机构,激光位移传感器和伺服电动机的互通和精确地调平到夹紧工件之后,通过相机和激光位移传感器捕获薄颈部和工件上轮廓的图像。然后,工件通过伺服电动机旋转180°,以便再次捕获薄颈的图像并检测底部轮廓。基于上述两组图像和曲线,我们可以用高精度弄清楚工件薄颈部的最小厚度和弯曲刚性。该方法的有效性和可行性通过计算机仿真与ANSYS软件和针脚和柔性杆的实验结果确认。

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