Abstract：In order to solve the problems of less information acquisition and slow measurement speed in cycloid gear detection, a comprehensive measurement method based on machine vision is proposed. According to the measurement accuracy requirements of cycloid gear, the visual detection hardware system is built. Fitting Facet gray surface along edge tangential window, the sub-pixel coordinate points are determined by using edge continuous surface features, and the positioning accuracy is 0.2pixel by measuring block detection. By pixel equivalent calibration, light intensity compensation and coordinate transformation, the sub-pixel tooth profile of cycloid gear is obtained in physical coordinate system. Compared with the cycloid profile measured by CMM, the difference of cycloid profile obtained is 10μm. According to the tooth profile equation of cycloid gear, the error calculation model of cycloid gear is established by combining rectangular coordinates and polar coordinates, and the tooth profile deviation and tooth pitch deviation are calculated. At the same time, the diameter of the center hole and the two crankshaft holes of cycloid gear are evaluated, and the relationship between tooth profile deviation and polar angle is obtained, which provides the basis for improving the processing technology of cycloid gear and analyzing the transmission performance of RV reducer. The whole measurement process takes about 16s.
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Counting Method Based onImproved Template Matching
2023, Vol. 44 
