Analysis of Surface Contact of Teeth of Cylindrical Gears Based on Machine Learning

Abstract

This work is devoted to the analysis of the surface contact of teeth of cylindrical gears based on machine learning methods. During the study, various machine learning algorithms were used to analyze the influence of the angular displacement of the gears in the gearbox on the quality of the surface contact of the teeth. The work analyzed the influence of such parameters as the shape of the teeth, the modification of the surface of the teeth, the offset angle and other factors on the quality of the surface contact of the teeth. A model of machine learning was developed, which allowed to predict the quality of the contact of the teeth based on the data on the parameters of the gears. The obtained results allow to optimization of the production parameters of cylindrical gears to achieve the best quality of the surface contact of the teeth and increase the efficiency of the mechanisms in which they are used.

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