Klaus Schricker
Papers
1
Total Citations
18
H-Index
1
About
Klaus Schricker is a leading researcher in laser materials processing, with a particular focus on laser beam welding and the application of machine learning to manufacturing. His work addresses a critical industrial challenge: the automatic detection and prediction of discontinuities, such as joint gaps, during laser beam butt welding of thin, high-alloy steel sheets. His most-cited paper (2022, 18 citations) demonstrates how deep learning can be used to monitor and predict weld seam quality in real time, offering a powerful alternative to traditional, inflexible clamping systems. This contribution is pivotal for advancing adaptive, sensor-driven manufacturing processes. Beyond this, Schricker’s research spans process monitoring, sensor integration, and the physics of laser-material interactions, with his work consistently cited for its practical relevance to Industry 4.0. By bridging the gap between fundamental welding physics and intelligent automation, Schricker is shaping the future of robust, flexible laser-based production systems.
Research Focus
Key Achievements
Top Papers
- 1