Data based model predictive control for ring rolling
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
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.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 821-831 |
| Number of pages | 11 |
| Journal | Production Engineering |
| Volume | 15 |
| Issue number | 6 |
| Publication status | Published - Dec 2021 |
| Peer-reviewed | Yes |
External IDs
| Scopus | 85108371878 |
|---|---|
| ORCID | /0000-0002-1319-9261/work/148145053 |
| ORCID | /0000-0001-9798-8358/work/148146114 |