Hanming Zhang

About

Hanming Zhang is a leading researcher in the field of robotic non-destructive testing (NDT), with a particular focus on ultrasonic inspection systems for complex composite structures. His work centers on solving critical challenges in automated testing, including tool centre point calibration, trajectory planning, and offline correction of tool path deviations for dual-robot systems. Zhang’s most cited paper (16 citations) presents a novel calibration method for semi-enclosed workpiece testing, while his research on improving alignment accuracy for air-coupled ultrasonic testing (10 citations) addresses the urgent need for inspecting complex-curved surfaces. His contributions extend to crack assessment in critical components like wheel hubs, demonstrating practical applications of industrial robotics in ultrasonic testing. With a total of 48 citations across his five most-cited papers, Zhang has established a solid foundation in advancing robotic NDT systems. His work on tool frame calibration for submerged robots (2023) represents a significant innovation, adapting existing calibration methods to the unique challenges of underwater ultrasonic testing environments.

Research Focus

Key Achievements

Top Papers

1. 1
   A tool centre point calibration method of a dual-robot NDT system for semi-enclosed workpiece testing

   16 citations · 2019
2. 2
   Trajectory planning method for improving alignment accuracy of probes for dual-robot air-coupled ultrasonic testing system

   10 citations · 2019
3. 3
   Offline correction of tool path deviations for robot-assisted ultrasonic nondestructive testing

   9 citations · 2018
4. 4
   Tool Frame Calibration for Robot-Assisted Ultrasonic Testing

   7 citations · 2023
5. 5
   Crack Assessment of Wheel Hubs via an Ultrasonic Transducer and Industrial Robot

   6 citations · 2018

Key Collaborators

Contact & Links