Grant: Discovery Grants Program - Individual
Université du Québec à Trois-Rivières
$37,000.00
Photonic Processing in High-Speed Manufacturing of Eco-Friendly Printable Materials & Sensors
EF 2023-24
Résumé
SUMMARY OF PROPOSAL Photonic Processing in High-Speed Manufacturing of Eco-Friendly Printable Materials & Sensors Vision: The long-term goal of this Discovery Grant is to lead an internationally-recognized research program investigating fundamental approaches to develop Advanced Fabrication Methods & Tools using Photonic Technologies in the manufacturing of low-cost eco-friendly flexible and printable materials & sensors toward their implementation in future Internet of Things (IoT) deployment. Rationale: The massive push for intelligent cyber-physical systems associated with the Industry 4.0 and the IoT revolutions aims at taking better-informed decisions in real-time based on better and readily-acquired sets of new data. For biomedical, manufacturing or consumer electronics applications, better and cheaper smart sensor architectures will obviously be at the core of this profound transformation. The urgent demand for large deployment of such ubiquitous sensor networks communicating with one another in a wirelessly seamless fashion is a crucial roadblock towards achieving these new paradigms. The research program will employ Photonic Technologies based on cutting-edge expertise to study fundamental fabrication strategies from rapid annealing processes and contactless in-line inspection of flexible materials & sensors at different stages of the printing fabrication process in order to obtain the desired sensors performance and payload. Nowadays such fabrication approach is seriously considered to be the next generation of advanced methods & tools for implementation in very-high-speed high-volume R2R and industrial inkjet manufacturing equipment. Objectives: Building on the research momentum from the last years, we propose to explore unknown territories in order to achieve research from unprecedented advanced fabrication methods & tools. In the next five-year, we will focus on the development of photonic technologies to achieve an unparalleled fundamental approach towards low-cost eco-friendly flexible materials & sensors that can potentially transform the field of microelectronics, being able to provide more environmentally sustainable ubiquitous sensor networks in the future IoT deployment.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2022-04869
Name nom
Bolduc, Martin
Department département
Mechanical Engineering
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
37000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1208
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Materials sciences
Area of application fr
Sciences des matériaux
Research subject code
2515
Research subject group en
Electrical and electronic engineering
Research subject group fr
Electronic materials and components
Research subject en
Génie électrique et électronique
Research subject fr
Matériels et composants électroniques
Application title
Photonic Processing in High-Speed Manufacturing of Eco-Friendly Printable Materials & Sensors
Keyword
Additive Technologies; Flexible Materials; Industry 4.0; Intelligent Manufacturing; Internet of Things; Laser Sintering; Nanotechnology; Optoelectronic Sensors; Photonic Curing; Printed Electronics
Application summary
SUMMARY OF PROPOSAL Photonic Processing in High-Speed Manufacturing of Eco-Friendly Printable Materials & Sensors Vision: The long-term goal of this Discovery Grant is to lead an internationally-recognized research program investigating fundamental approaches to develop Advanced Fabrication Methods & Tools using Photonic Technologies in the manufacturing of low-cost eco-friendly flexible and printable materials & sensors toward their implementation in future Internet of Things (IoT) deployment. Rationale: The massive push for intelligent cyber-physical systems associated with the Industry 4.0 and the IoT revolutions aims at taking better-informed decisions in real-time based on better and readily-acquired sets of new data. For biomedical, manufacturing or consumer electronics applications, better and cheaper smart sensor architectures will obviously be at the core of this profound transformation. The urgent demand for large deployment of such ubiquitous sensor networks communicating with one another in a wirelessly seamless fashion is a crucial roadblock towards achieving these new paradigms. The research program will employ Photonic Technologies based on cutting-edge expertise to study fundamental fabrication strategies from rapid annealing processes and contactless in-line inspection of flexible materials & sensors at different stages of the printing fabrication process in order to obtain the desired sensors performance and payload. Nowadays such fabrication approach is seriously considered to be the next generation of advanced methods & tools for implementation in very-high-speed high-volume R2R and industrial inkjet manufacturing equipment. Objectives: Building on the research momentum from the last years, we propose to explore unknown territories in order to achieve research from unprecedented advanced fabrication methods & tools. In the next five-year, we will focus on the development of photonic technologies to achieve an unparalleled fundamental approach towards low-cost eco-friendly flexible materials & sensors that can potentially transform the field of microelectronics, being able to provide more environmentally sustainable ubiquitous sensor networks in the future IoT deployment.