Observing the output of our new Rewinder algorithm, which produced several pallets of roll material in one night, is a interesting engineering. In Roll-to-Roll applications, the stable tension control is the foundation of product excellence.

• Dynamic Parameter Tuning: To accommodate the complex physical changes of materials at varying speeds, we developed an advanced algorithm featuring “Self-Tuning Parameter" functionality. This allows for a transition between open-loop and closed-loop servo control, maintaining unwavering tension accuracy.
• Beyond Manufacturing: Toward Data Visualization: High-volume production is just the beginning. Our current focus is the normalization of these production datasets to facilitate a robust data visualization platform.
• The Bridge to Digital Transformation: By transforming raw machine signals into visual insights, we provide transparency into tension dynamics, energy consumption, and overall efficiency. This approach lays the critical groundwork for AI-driven predictive maintenance and ESG material management.

At FrankMEC, we don’t just write code; we redefine the intelligence behind the machinery.