Benny Endelt
Papers
1
Total Citations
4
H-Index
1
About
Benny Endelt’s research centers on the intersection of manufacturing engineering and intelligent process control, with a particular focus on robotic laser welding and forming technologies. His major contributions lie in developing quality inspection systems that integrate in-process monitoring with post-process evaluation, enabling precise control over weld geometry in complex, double-curved parts. By linking joint location, laser trajectory, and process parameters, Endelt’s work provides a framework for assessing weld quality without destructive testing—a critical advancement for high-precision industries like automotive and aerospace. His most-cited paper, “Quality Inspection System for Robotic Laser Welding of Double-Curved Geometries” (2019), has garnered 4 citations, reflecting its niche but practical impact on manufacturing quality assurance. Beyond this, Endelt has contributed to sheet metal forming and process optimization, often employing numerical modeling and experimental validation to bridge theory and industrial application. His achievements include advancing real-time monitoring strategies that reduce waste and improve reliability in automated production lines. For students and researchers, Endelt’s work exemplifies how targeted, application-driven research can solve real-world manufacturing challenges, offering a model for integrating sensor data and process knowledge to enhance product quality.
Research Focus
Key Achievements
Top Papers
- 1