Grant: Alliance Grants
University of Waterloo
$143,282.00
Robust AI-supported virtual tools to accelerate the constitutive characterization and modelling of lightweight fiber-reinforced composite materials
EF 2024-25
Résumé
This research partnership aims to integrate lightweight fiber-reinforced plastic (FRP) composite materials into battery enclosures and protective panels of next-generation electric vehicles (EVs). Owing to the immense mass of the battery cells and fortified suspension systems, current EVs are substantially heavier than gasoline-powered vehicles. A significant reduction in the mass of vehicle structures through use of FRP composites will drastically improve the performance of vehicles and extend their driving range from a single charge while concurrently improving their crash safety, addressing a major innovation challenge.
Characterizing and modelling the directional- and strain rate-dependent deformation response and fracture behaviour of FRP composites, which is required for energy absorbing structures in EVs, is complex. The proposed research will address a critical need to accelerate the constitutive characterization and model calibration process for FRP composites using robust artificial intelligence (AI)-supported virtual tools. Several key scientific challenges will be addressed through the proposed research, including generating a unique characterization data set for two FRP composite materials, developing advanced high-fidelity analytical tools to predict material performance, and producing a novel AI-based material constitutive model to accelerate analysis of structures and capture material variability. The research outcomes will contribute to substantial weight reduction of EVs with significantly improved driving range, resulting in greater adoption and consequently a positive environmental impact from reduced sectorial greenhouse gas emissions. EV structures that are optimized to absorb maximum energy during a crash will greatly enhance occupant safety and improve battery protection from damage and fire hazards, thus, reducing crash fatalities. The research outcomes will be adopted by the Canadian-based operations of the auto sector partner, GM, and utilized to rapidly develop next-generation lightweight EV structures; thus, gaining an innovation-based competitive advantage by accelerating the rate of made-in-Canada products to the global market.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
592539-2023
Name nom
Montesano, Giovanni G
Department département
Mechanical Engineering and Mechatronics
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
143282
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
500
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Manufacturing processes and products
Area of application fr
Procédés et produits industriels
Research subject code
2007
Research subject group en
Materials science and technology
Research subject group fr
Science et technologie des matériaux
Research subject en
Composites
Research subject fr
Matériaux composites
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Robust AI-supported virtual tools to accelerate the constitutive characterization and modelling of lightweight fiber-reinforced composite materials
Keywords
ai-supported prediction tools; electric vehicle lightweighting; failure and damage mechanics; fiber-reinforced composite materials; micromechanics-based models; process-structure-property relations; rate-dependent material behaviour; safety and crashworthiness
Application summary
This research partnership aims to integrate lightweight fiber-reinforced plastic (FRP) composite materials into battery enclosures and protective panels of next-generation electric vehicles (EVs). Owing to the immense mass of the battery cells and fortified suspension systems, current EVs are substantially heavier than gasoline-powered vehicles. A significant reduction in the mass of vehicle structures through use of FRP composites will drastically improve the performance of vehicles and extend their driving range from a single charge while concurrently improving their crash safety, addressing a major innovation challenge.
Characterizing and modelling the directional- and strain rate-dependent deformation response and fracture behaviour of FRP composites, which is required for energy absorbing structures in EVs, is complex. The proposed research will address a critical need to accelerate the constitutive characterization and model calibration process for FRP composites using robust artificial intelligence (AI)-supported virtual tools. Several key scientific challenges will be addressed through the proposed research, including generating a unique characterization data set for two FRP composite materials, developing advanced high-fidelity analytical tools to predict material performance, and producing a novel AI-based material constitutive model to accelerate analysis of structures and capture material variability. The research outcomes will contribute to substantial weight reduction of EVs with significantly improved driving range, resulting in greater adoption and consequently a positive environmental impact from reduced sectorial greenhouse gas emissions. EV structures that are optimized to absorb maximum energy during a crash will greatly enhance occupant safety and improve battery protection from damage and fire hazards, thus, reducing crash fatalities. The research outcomes will be adopted by the Canadian-based operations of the auto sector partner, GM, and utilized to rapidly develop next-generation lightweight EV structures; thus, gaining an innovation-based competitive advantage by accelerating the rate of made-in-Canada products to the global market.