Maximilian Rohe
Papers
1
Total Citations
2
H-Index
1
About
Maximilian Rohe is a researcher advancing the field of manufacturing process monitoring, with a primary focus on friction stir welding (FSW). His work centers on the innovative use of airborne sound analysis for real-time, non-destructive quality control. Rohe’s major contribution lies in systematically investigating the directional characteristics of sound emitted during FSW, demonstrating how acoustic signatures can be leveraged for online process monitoring. This approach offers a cost-effective, non-contact alternative to traditional sensor-based methods, potentially improving defect detection and process stability in industrial applications. While his most-cited paper, "Investigation of the Directional Characteristics of the Emitted Airborne Sound by Friction Stir Welding for Online Process Monitoring" (2022), has garnered 2 citations, it represents a foundational step in a niche but growing area. Rohe’s work is notable for bridging acoustics and manufacturing, providing a novel pathway for smarter, more adaptive welding systems. His research is particularly relevant for students and engineers interested in Industry 4.0, sensor integration, and sustainable manufacturing solutions.
Research Focus
Key Achievements
Top Papers
- 1