Data based model predictive control for ring rolling

Research output: Contribution to journalResearch articleContributedpeer-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 languageEnglish
Pages (from-to)821-831
Number of pages11
JournalProduction Engineering
Volume15
Issue number6
Publication statusPublished - Dec 2021
Peer-reviewedYes

External IDs

Scopus 85108371878
ORCID /0000-0002-1319-9261/work/148145053
ORCID /0000-0001-9798-8358/work/148146114

Keywords