Gear tooth surface modification analysis by support vector machine regression

Abstract

A modification to the gear tooth surface is crucial for reducing whistling noise generated by gearboxes of electric vehicles. Using the orthogonal test method, this paper studies geometry parameters of gear pair and the effect of load conditions on modification parameters of tooth surface. To achieve this, the paper develops various test models of gear pairs based on MASTA and then corrects the gear profiles according to load distribution state. The influential factors of gear transmission to modification parameters of tooth surface are thereby intuitively analyzed. Finally, a prediction model of the result of gear modification is built, based on test parameters, by method of support regression vector machine, providing a valuable reference to determine the tooth-surface modification parameters of the transmission gear of electric vehicles.