Digital Twins for Gear-grinding processes
Simulation meets production reality: developing digital twin frameworks for gear grinding to predict outcomes, prevent grinding burn, and sharpen process planning.
Background
Gear grinding is an important manufacturing process used to produce high-precision gears for industrial applications. This project focuses on creating digital models of the gear-grinding process to better understand and improve how gears are manufactured. Special attention is given to challenges such as grinding burn and tool dressing. By using simulations and process data, the project aims to improve product quality, increase efficiency, and support smarter process planning in manufacturing.
Outcomes
The project will develop a simulation framework for gear grinding that helps predict and optimize key process parameters. The results aim to improve gear quality, increase manufacturing efficiency, and support better process planning.