Fanwu Meng
Papers
3
Total Citations
25
H-Index
2
About
Fanwu Meng is a researcher specializing in robotic nondestructive testing (NDT) systems, with a focus on twin-robot coordination for inspecting complex curved surfaces. Their major contributions include developing an automatic method for synchronizing workpiece frames in twin-robot systems, which enables precise alignment and cooperative motion for ultrasonic testing of irregular geometries. Meng also advanced the understanding of kinematic constraint analysis in dual-robot setups, addressing critical challenges in maintaining consistent contact and signal accuracy during curved-surface inspections. Their work has practical implications for industries requiring high-reliability defect detection, such as aerospace and manufacturing. With over 25 citations across key publications, Meng’s research has laid foundational techniques for robotic NDT, particularly in synchronizing robot trajectories with inspection points to ensure accurate ultrasonic signal collection. Notable achievements include the design of a robot-based ultrasonic test system for complex curved surfaces, which solves the problem of matching tracing points to inspected points for reliable defect identification. Meng’s contributions are valuable for students and researchers exploring automation in NDT, cooperative robotics, and sensor-guided manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3