Eythor Runar Eiriksson: The aim of this Ph.D. project is to apply machine vision methods for process and quality control in production and manufacturing.
A special focus is placed on additive manufacturing (AM), commonly known as 3D printing. Additive manufacturing is a rapidly growing technology that the industry is eager to incorporate. The absence of quality assurance has however made companies reluctant to adopt the technology. Furthermore, optimizing process parameters is problematic without in-line monitoring. The main objective of this project is to create generic vision systems that can be placed inside any industrial printer, providing valuable information during the print process. An inside look during printing can give valuable information on the integrity and robustness of the product. Additionally, any defects above the resolution threshold of such a system can be captured, and flawed objects then discarded early on.
Effective start/end date 01/12/2013 → 29/09/2017
Published as PhD report: Computer Vision for Additive Manufacturing.
Supervisors: Henrik Aanæs (Main supervisor), David Bue Pedersen (Co-supervisor)
Section for Visual Computing