Papers
2
Total Citations
5
H-Index
2
About
Vincent Wagner’s research lies at the intersection of advanced manufacturing and materials processing, with a focus on robotic machining and friction stir welding (FSW). His work addresses critical challenges in precision and thermal management for industrial applications. Wagner developed an off-line correction method tailored for machining robots working with composite materials, a contribution that enhances accuracy in automated manufacturing. He also created a power-based thermal model for predicting temperature in FSW, making complex thermal analysis accessible by using only machine-derived power or torque data alongside material properties and process parameters. This model, detailed in his 2022 paper, offers a practical tool for engineers and researchers to optimize welding conditions without extensive computational resources. While his citation counts are currently modest—3 and 2 citations respectively—these works represent foundational steps in bridging theoretical modeling with real-world manufacturing constraints. Wagner’s approach emphasizes usability and direct applicability, positioning him as a practical innovator in production engineering. His contributions are particularly relevant for industries seeking efficient, low-cost solutions for composite machining and solid-state joining processes.
Research Focus
Key Achievements
Top Papers
- 1
- 2Power-based Model for Temperature Prediction in FSW2 citations · 2022