The number of teeth, diameter of the indexing circle, tooth top height, root circle diameter, pressure angle, and tooth top circle diameter are commonly used parameters in the process of detecting qualified gears. The measurement of small module gears has always been a challenge in industrial applications due to the difficulty of manual measurement and the significant difference between the measurement results and actual data. In response to the problems of high statistical error rate and low efficiency in measuring the geometric parameters of small module gears, this paper studies the contour characteristics of small module gears based on machine vision (MV) and explores measurement methods for morphological features. A new image acquisition method is proposed to address the phenomenon of gear overlap and the varying sizes of diameter, length, and pitch density. A real-time analysis system for automatic parameter measurement data of small module gears is designed, ultimately achieving research on automatic measurement of small module gears. This study conducted experiments on gear images obtained from industrial cameras. The proposed automatic measurement method for small module gears was found to have a maximum error of 0.0043mm through traditional microscopy and measurement using the system. The measurement results of geometric parameters of 8 sets of gears demonstrate that compared to other methods, the automated measurement of small module gears in this paper has better calculation accuracy and processing speed. It can more accurately obtain the geometric parameters of small module gears in bulk, providing technical support for future small module gear measurement related work and helping the development of related industries.

Hongxu Chai. Measurement Method for Geometric Parameters of Small Module Gears Based on Machine Vision. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 1: 92-100. https://doi.org/10.25236/IJFET.2024.060115.

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