Application of Artificial Neural Networks in the Design and Manufacturing of Elliptical Gears: A Review

This review explores the application of Artificial Neural Networks in the design, manufacturing, and fault diagnosis of elliptical gears. It highlights how Artificial Neural Networks optimize gear geometry, enhance manufacturing precision, and enable predictive maintenance. Compared to traditional methods, Artificial Neural Networks offer faster, data-driven solutions with promising accuracy. The paper also discusses existing challenges, such as data availability and model transparency, while proposing future research directions, including hybrid AI models and digital twins, to further integrate AI into elliptical gear systems

کلیدواژه ها:

Elliptical Gears ، Artificial Neural Networks ، Design Optimization ، Intelligent Manufacturing