Kai Brunotte
Papers
1
Total Citations
2
H-Index
1
About
Kai Brunotte is a researcher advancing the field of metal forming and tool engineering, with a primary focus on the in-situ monitoring and wear analysis of hot forging dies. His key research areas include automated inspection systems, optical metrology, and die wear measurement under harsh industrial conditions. Brunotte’s major contribution is the development of a novel handling concept that integrates robot-aided endoscopic fringe projection, enabling the first-ever inline, non-destructive wear assessment of hot forging dies without requiring tool dismantling. This breakthrough addresses a critical gap in the industry, where wear conditions were previously only evaluated visually after disassembly. His most-cited work, published in 2022, has garnered 2 citations and is recognized for its practical impact on improving die life and process efficiency. By combining robotics with advanced optical techniques, Brunotte’s research offers a pathway toward real-time tool condition monitoring, reducing downtime and maintenance costs. His work stands out for its direct application in industrial environments, bridging the gap between laboratory precision and factory-floor robustness. For students and researchers in manufacturing and mechanical engineering, Brunotte’s contributions exemplify how innovative measurement strategies can transform traditional forging processes into smarter, data-driven operations.
Research Focus
Key Achievements
Top Papers
- 1