A Reinforcement Learning Control in Hot Stamping for Cycle Time Optimization

Hot stamping is a hot metal forming technology increasingly in demand that produces ultra-high strength parts with complex shapes. A major concern in these systems is how to shorten production times to improve production Key Performance Indicators. In this work, we present a Reinforcement Learning a...

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Detalles Bibliográficos
Autores principales: Nievas, Nuria, Pagès-Bernaus, Adela, Bonada, Francesc, Echeverria, Lluís, Abio, Albert, Lange, Danillo, Pujante, Jaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322736/
https://www.ncbi.nlm.nih.gov/pubmed/35888292
http://dx.doi.org/10.3390/ma15144825

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322736/
https://www.ncbi.nlm.nih.gov/pubmed/35888292
http://dx.doi.org/10.3390/ma15144825

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