期刊
PRODUCTION ENGINEERING-RESEARCH AND DEVELOPMENT
卷 15, 期 6, 页码 821-831出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s11740-021-01063-1
关键词
Ring rolling; Model predictive control; Neural network
资金
- German Research Foundation DFG [SPP2183, 424337466, BR 3500/23-1, HA5209 /11-1]
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.
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.
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