Large-scale 3D-vision-aided hybrid manufacturing system for welding, overlay and maintenance operations

The primary objective of this project is to develop a comprehensive additive/subtractive manufacturing system encompassing hardware, sensors, and software for the automated production and repair of non-critical custom
industrial equipment. This innovative system integrates AI and 3D computer vision to provide robust control, continuous monitoring, and effective failure identification. Featuring a groundbreaking PC/PLC-based communication architecture, it ensures a seamless workflow between the additive and subtractive units. Tailored for small and medium machine shops in Canada, this machine aims to facilitate mass customization production. By offering an affordable solution, it empowers these businesses to take a significant step forward into Industry 4.0 and advanced manufacturing, fostering growth and efficiency.

Faculty Supervisor:

Ahmed Qureshi

Student:

Partner:

Elementiam Materials and Manufacturing

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Alberta

Program: