Grants and Contributions:
Title:
AI enhancement of process sensing for adaptive laser additive manufacturing
Agreement Number:
971041
Agreement Value:
$300,000.00
Agreement Date:
Apr 22, 2021 - Mar 31, 2025
Description:
The abrasive nature of ores in mining operations causes significant wear to ground engaging tools during extractive processing which results in high maintenance costs and unscheduled process disruptions. Advances in integrating various high-performance materials to low-cost parts has faced manufacturing barriers for mining requirements due to key gaps and challenges in using laser powder direct energy deposition (DED) to volume build-up and repair complex geometries. This Project will use Artificial Intelligence (AI) to enhance DED so as to decrease process development iterations while maintaining high-accuracy deposition of fine features at fast process speeds. To feed AI analysis, existing sensors and innovative
technologies, such as laser scanners and laser ultrasonics, will be integrated as a system to monitor process parameters, part geometry and quality. A Machine Learning (ML) computational engine will be used to develop AI models/algorithms to enable quality prediction and parametric optimization through an AI-enhanced adaptive toolpath planning and evaluated on 3 relevant demonstrators (rock crusher tooth, ground engaging bucket tooth, and slurry pump impeller).
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Montreal, Quebec, CA H3A 0G4
Reference Number:
172-2021-2022-Q1-971041
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
119128981
Recipient Type:
Academia
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 364 days.
Amendment Date
Mar 14, 2024
Recipient's Legal Name:
The Royal Institution for the Advancement of Learning/McGill University
Federal Riding Name:
Ville-Marie–Le Sud-Ouest–Île-des-Soeurs
Federal Riding Number:
24077
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
NAICS Code:
541710 - R&D in the physical, engineering and life sciences
Amendments: