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A camshaft measurement method based on structured light profilometry
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AI
DOI：10.1088/2631-8695/ae49e5.png)
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Abstract
En 中文
The camshaft is a crucial transmission component, and its key dimensions, such as cam lift, base circle radius, and cam phase angle, significantly impact the engine's performance. Traditional cam parameter measurement methods mainly rely on three-coordinate measurement (CMM) or dedicated contact-based methods. However, existing machine vision-based cam parameter measurement systems can only capture cam point clouds from a single cross-section and cannot measure all cam parameters along the entire camshaft or the cam-to-cam phase angles. This paper proposes a method for camshaft point cloud acquisition based on line-structured light and establishes a visual measurement model for key cam dimensions, including lift, base circle radius, and cam phase angles. Firstly, the paper proposes an accurate method for controlling the camshaft's rotational angle and the vision system's movement direction to obtain the complete camshaft point cloud. Secondly, a coordinate system perpendicular to the camshaft's rotational axis is established to obtain the cam projection profile. Finally, measurement algorithms for the cam base circle radius, lift, and cam phase angle are developed. In the experiment, the camshaft of an automobile engine is used as the measurement object. The visual measurement results are compared with those from CMM. The average radius error is 0.043 mm, the average lift error is 0.072 mm, and the phase angle error is 0.317 degrees. The total measurement time for the entire camshaft is reduced by 1198 s.
Keywords:
machine vision
camshaft measurement
line-structured light
full-circle point cloud reconstruction
Journal
E
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