Automated Part Numbering for 3D Printed Medical Devices for Covid-19 Response using Generative Design Methodologies
Thousands of 3D printers across Canada are producing PPE for frontline workers. Different printers and materials affect the quality and safe re-usability of parts. Trying to track down this information for every single one of millions of parts would be impossible. The purpose of this project is to improve the quality and safe re-use of 3D printed PPE by developing a system for printing a unique identification code onto every single part that will let end users know what type of material was used and how and when the part was printed.
Voir la description complète du projetKeith Doyle
3DQue Systems
Sociology
Manufacturing
Emily Carr University of Art + Design
Accelerate
