Advanced automatic pass schedule design for hot rolling by coupling reinforcement learning with a fast rolling model
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
In: 10.21741/9781644902479-65
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2023
- Urheber
- DOI
-
10.18154/RWTH-2023-05134
- URN
-
urn:nbn:de:101:1-2023071213560631315709
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:46 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Idzik, Christian
- Gerlach, Jannik
- Bailly, David
- Hirt, Gerhard
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2023
Ähnliche Objekte (12)
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling
Integration of a void healing criterion in multi-scale modeling of hot rolling
Rolling Eccentric Steel Rings on an Industrial Radial–Axial Ring Rolling Mill
Model-based Control of the Strip Roughness in Cold Rolling
Investigation of a composite ring rolling process by FEM and experiment
Procedure to implement shear evolution in fast rolling models with online capability on the example of an aluminum flat rolling process
Investigation of a composite ring rolling process considering bonding behaviour in FEM and experiment
Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes
Modeling and control of tribological properties for subsequent forming process in skin-pass rolling
Online Model Adaptation in Cold Rolling for Improvement of Thickness Precision
Modelling of incremental forming processes : final report of the DFG priority programme SPP 1146, 2003 – 2009
Beitrag zur Auslegung und Simulation von Giesswalzprozessen
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling
Integration of a void healing criterion in multi-scale modeling of hot rolling
Rolling Eccentric Steel Rings on an Industrial Radial–Axial Ring Rolling Mill
Model-based Control of the Strip Roughness in Cold Rolling
Investigation of a composite ring rolling process by FEM and experiment
Procedure to implement shear evolution in fast rolling models with online capability on the example of an aluminum flat rolling process
Investigation of a composite ring rolling process considering bonding behaviour in FEM and experiment
Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes
Modeling and control of tribological properties for subsequent forming process in skin-pass rolling
Online Model Adaptation in Cold Rolling for Improvement of Thickness Precision
Modelling of incremental forming processes : final report of the DFG priority programme SPP 1146, 2003 – 2009
Beitrag zur Auslegung und Simulation von Giesswalzprozessen
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling
Integration of a void healing criterion in multi-scale modeling of hot rolling
Rolling Eccentric Steel Rings on an Industrial Radial–Axial Ring Rolling Mill
Model-based Control of the Strip Roughness in Cold Rolling
Investigation of a composite ring rolling process by FEM and experiment
Procedure to implement shear evolution in fast rolling models with online capability on the example of an aluminum flat rolling process
Investigation of a composite ring rolling process considering bonding behaviour in FEM and experiment
Simulation-as-a-Service for Reinforcement Learning Applications by Example of Heavy Plate Rolling Processes
Modeling and control of tribological properties for subsequent forming process in skin-pass rolling
Online Model Adaptation in Cold Rolling for Improvement of Thickness Precision
Modelling of incremental forming processes : final report of the DFG priority programme SPP 1146, 2003 – 2009