HIGHLIGHTS
- who: Nuria Nievas et al. from the (UNIVERSITY) have published the article: A Reinforcement Learning Control in Hot Stamping for Cycle Time Optimization, in the Journal: Materials 2022, 15, 4825. of /2022/
- what: If the authors compare this technology with cold or warm stamping processes, lower force and lower power are required, more plastic deformation is allowed, parts and tool damage problems are reduced, and microstructure is improved in the optimal deformation temperature range due to recrystallization of deformed grains . In this section, the principal concepts on which the research is based are presented. This . . .
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