A Measuring Method of Flexible Bar Based on Machine Vision

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 220-223)
• Pages: 1373-1376
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.220-223.1373
• Online since: November 2012
• Authors: Shao Wei Liu, Wu Liu, Guo Qing Ding, Xin Chen
• Keywords: Bending Rigidity, Finite Element Analysis (FEA), Flexible Bar, Machine Vision, Thickness

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