A Reinforcement Learning Control in Hot Stamping for Cycle Time Optimization

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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Bibliographic Details
Main Authors: Nuria Nievas, Adela Pagès-Bernaus, Francesc Bonada, Lluís Echeverria, Albert Abio, Danillo Lange, Jaume Pujante
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Materials
Subjects:
hot stamping
reinforcement learning
autonomous control
Online Access:https://www.mdpi.com/1996-1944/15/14/4825

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https://www.mdpi.com/1996-1944/15/14/4825

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