Web tension AI modeling and reconstruction for digital twin of roll-to-roll system
Anton Nailevich Gafurov,
Jaeyoung Kim,
Inyoung Kim
et al.
Abstract:Digital twins (DT) are gaining attention as an emerging technology in Smart manufacturing systems. These DTs comprise various units that enable simulation, monitoring, and prediction of the manufacturing process. This study introduces a predictive model for web tension and a tension reconstruction algorithm for the DT of the roll-to-roll (R2R) system. The observed web tension signals from tension sensors decomposed into a mean component, a sinusoidal wave, and a random noise. Utilizing deep neural networks, th… Show more
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