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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.
Faculty Supervisor:
Keith Doyle
Student:
Partner:
3DQue Systems
Discipline:
Sociology
Sector:
Manufacturing
University:
Emily Carr University of Art + Design
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.