Norbert Graf

InnoLas Solutions (Germany)

Papers

1

Total Citations

7

H-Index

1

About

Norbert Graf is a leading figure in the field of non-destructive testing (NDT) for aerospace, with a focused expertise in laser-ultrasonic inspection and robotic deployment systems. His most-cited work, "Robot deployed Laser-Ultrasonic NDT system for inspection of large aircraft structures" (2021, 7 citations), addresses a critical industry challenge: inspecting thick composite structures in next-generation hybrid aircraft. Graf’s major contribution lies in integrating laser-ultrasonic testing (LUT) with robotic mobility, enabling automated, high-speed inspection of large, curved surfaces that traditional methods struggle to reach. This innovation enhances both the sensitivity and accessibility of defect detection, reducing downtime and improving safety in aerospace manufacturing and maintenance. While his citation count reflects a specialized, emerging field, Graf’s work is notable for its practical impact—bridging advanced photonics with industrial robotics to solve real-world NDT bottlenecks. His research is particularly valuable for students and engineers interested in the intersection of automation, materials science, and quality assurance, offering a glimpse into the future of intelligent, non-contact inspection systems for safety-critical structures.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Robot deployed Laser-Ultrasonic NDT system for inspection of large aircraft structures
7 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: InnoLas Solutions (Germany)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago