Grant: Canada Research Chairs
University of Waterloo
$100,000.00
Intelligent Multi-Scale Additive Manufacturing
EF 2024-25
Résumé
The proposed research program aims to advance the field of additive manufacturing (AM), specifically in intelligent systems for laser-based metal AM processes. The overarching goal is to prepare these technologies for integration into serial production while addressing geopolitical, environmental, and supply chain challenges. The program capitalizes on the progress made in the first term of the CRC and focuses on developing innovative solutions for crucial applications.
The key objectives of the research program are twofold: 1) it seeks to enhance AM through the development of process-aware quality assurance algorithms tailored to advanced monitoring devices. This includes artificial intelligence-based algorithms for in-situ anomaly detection during AM processes. The aim is to ensure the quality and reliability of AM components, particularly in applications across aerospace, automotive, defence, and natural resources sectors; and, 2) it will address gaps in the holistic integration of research results to move toward sustainable metal AM processes. The proposed research will integrate life cycle assessment into fast modeling, design, and quality assurance algorithms to minimize the environmental impact of serial production and large-scale manufacturing using AM.
The novelty of the research lies in its focus on combining intelligent systems with sustainable AM practices. The nominee, with years of experience and patented technologies, has demonstrated expertise in developing accelerated models, in-situ monitoring algorithms, workflow optimization, and novel materials for AM processes. These technologies have practical applications in addressing challenges related to sustainable AM. The proposed work aligns with the University of Waterloo’s Strategic Research Plan, emphasizing advancements in manufacturing technologies and intelligent systems for sustainability.
The expected impact of the program is broad, contributing to the enhancement of Canada's intellectual supply chain and ecosystem. It aims to provide diverse, well-trained professionals, sustain R&D, and transfer technologies to industry. The program addresses the qualification of AM technologies for scale-up and serial production, enhancing process repeatability, reliability, and productivity. It is anticipated that Canadian companies adopting metal AM will benefit from improved quality assurance tools, filling gaps in the global supply chain with locally made, innovative products.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2023-00092
Name nom
Toyserkani, Ehsan
Department département
Mechanical and Mechatronics Engineering - University of Waterloo
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF2040306
Field of research list names en
Manufacturing processes and technologies (except textiles)
Field of research list names fr
Procédés et technologies de fabrication (sauf pour les textiles)
Socioeconomic objective list codes
RDS10699
Socioeconomic objective list names en
Industrial production and technology, n.e.c.
Socioeconomic objective list names fr
Production et technologie industrielles, n.c.a.
Application title
Intelligent Multi-Scale Additive Manufacturing
Keywords
Additive Manufacturing; Laser-based Additive Manufacturing Processes; Closed-loop Control; Modeling and Simulation; Quality Assurance for Additive Manufacturing
Application summary
The proposed research program aims to advance the field of additive manufacturing (AM), specifically in intelligent systems for laser-based metal AM processes. The overarching goal is to prepare these technologies for integration into serial production while addressing geopolitical, environmental, and supply chain challenges. The program capitalizes on the progress made in the first term of the CRC and focuses on developing innovative solutions for crucial applications.
The key objectives of the research program are twofold: 1) it seeks to enhance AM through the development of process-aware quality assurance algorithms tailored to advanced monitoring devices. This includes artificial intelligence-based algorithms for in-situ anomaly detection during AM processes. The aim is to ensure the quality and reliability of AM components, particularly in applications across aerospace, automotive, defence, and natural resources sectors; and, 2) it will address gaps in the holistic integration of research results to move toward sustainable metal AM processes. The proposed research will integrate life cycle assessment into fast modeling, design, and quality assurance algorithms to minimize the environmental impact of serial production and large-scale manufacturing using AM.
The novelty of the research lies in its focus on combining intelligent systems with sustainable AM practices. The nominee, with years of experience and patented technologies, has demonstrated expertise in developing accelerated models, in-situ monitoring algorithms, workflow optimization, and novel materials for AM processes. These technologies have practical applications in addressing challenges related to sustainable AM. The proposed work aligns with the University of Waterloo’s Strategic Research Plan, emphasizing advancements in manufacturing technologies and intelligent systems for sustainability.
The expected impact of the program is broad, contributing to the enhancement of Canada's intellectual supply chain and ecosystem. It aims to provide diverse, well-trained professionals, sustain R&D, and transfer technologies to industry. The program addresses the qualification of AM technologies for scale-up and serial production, enhancing process repeatability, reliability, and productivity. It is anticipated that Canadian companies adopting metal AM will benefit from improved quality assurance tools, filling gaps in the global supply chain with locally made, innovative products.