AI-driven digital twin for autonomous web tension control in Roll-to-Roll manufacturing system

AI-driven digital twin for autonomous web tension control in Roll-to-Roll manufacturing system

Abstract While the roll-to-roll manufacturing process plays a key role in high-throughput and cost-effective production, precise web tension control remains a critical challenge due to the dynamic interaction of web materials and roller mechanics. To address these challenges, this study proposes an...

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Bibliographic Details
Main Authors: Anton Nailevich Gafurov, Sooyoung Lee, Uzair Ali, Muhammad Irfan, Inyoung Kim, Taik-Min Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
AI-driven digital twin
Roll-to-roll process
Autonomous manufacturing
Bayesian optimization
Online Access:https://doi.org/10.1038/s41598-025-09813-2
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https://doi.org/10.1038/s41598-025-09813-2

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