Project overview
Fusion welding of metals is a joining method fundamental to High Value Manufacturing (HVM). Distinctive challenges such as the global shortage of welders and the increasing requirement for high-integrity components in the energy and defence sectors fuel the need to research and adopt digital welding technologies such as sensor-enabled robotic welding. Surface and volumetric sensing approaches at the point of manufacture coupled with real-time robotic motion offers the possibility to control, adapt and consistently ensure defect-free fusion. This project seeks to investigate novel event-based neuromorphic vision sensing coupled to high-temperature in-process ultrasonic imaging to deliver high-integrity welds right first time.
Professor Charles MacLeod is a Professor in the Centre for Ultrasonic Engineering. He is the Babcock International Group / Royal Academy of Engineering Chair in Sensor-Driven Automated Welding.
As a 3rd year Electrical and Mechanical Engineering student at the University of Strathclyde, Zoe's research interests lie in mechatronics and its development in Industry 4.0. The multi-modal sensing internship will provide a unique opportunity to gain expertise in designing, developing, and integrating advanced sensing technologies into robotic systems.
