Data based model predictive control for ring rolling

Thermomechanical ring rolling is an evolution of the process where deformation and heat treatment are combined to obtain a product with both the desired geometry and hardness or microstructure in a single step. However, the high sensitivity of the process to the initial condition and to various disturbances limits its repeatability and accuracy. In this paper, the authors implement a concept for hardness control of ring rolling in virtual experiments. A concept based on soft sensors and model predictive control is implemented on a digital twin. The operation of the different models needed for this control loop are detailed and the controller itself is illustrated.

Automated summary

The paper presents a concept for hardness control of ring rolling based on soft sensors and model predictive control, implemented in virtual experiments. The operation of the different models needed for this control loop are detailed, and the controller itself is illustrated.