We continue with our second monitoring technology people in our CLASCO interview series.

nLIGHT plasmo GmbH, based in Austria, brings expertise in plasma technology and machine learning to the CLASCO consortium. In this interview, Christoph Steiger shares insights into their development of a plasma monitoring sensor for high-speed control of the direct laser interference patterning (DLIP) process. The sensor operates at MHz frequencies, providing real-time data to monitor and optimise the surface functionalisation process.

The integration of machine learning algorithms allows for predictive analytics, enabling the system to not only monitor but also forecast process deviations and intervene to maintain optimal conditions. This system significantly enhances the precision and reliability of surface treatments, which is key to meeting the high standards set by CLASCO.

By improving surface functionalisation through advanced monitoring and control, nLIGHT plasmo’s technology plays a crucial role in the CLASCO project’s broader goals of pushing the boundaries of smart manufacturing in Europe.

The interview with Christoph Steiger is part of a series highlighting the diverse strengths of the CLASCO consortium.

YouTube Video: https://www.youtube.com/watch?v=A8I9tHO_0I4

Learn more: https://www.plasmo.eu/