Data based model predictive control for ring rolling
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Seiten (von - bis) | 821-831 |
Seitenumfang | 11 |
Fachzeitschrift | Production Engineering |
Jahrgang | 15 |
Ausgabenummer | 6 |
Publikationsstatus | Veröffentlicht - Dez. 2021 |
Peer-Review-Status | Ja |
Externe IDs
Scopus | 85108371878 |
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ORCID | /0000-0002-1319-9261/work/148145053 |
ORCID | /0000-0001-9798-8358/work/148146114 |