Grant: Alliance Grants
University of Waterloo
$75,000.00
Multiscale Process Modeling for 6000 Series Aluminum Alloys
EF 2022-23
Résumé
The proposed research project will focus on creating a multiscale modelling framework that can be used for end-to-end process modelling of aluminum automotive sheets. This work will be done in partnership with Novelis, which is the largest supplier of sheet aluminum to the automotive industry. The automotive manufacturers are looking for cost-effective ways to lightweight the vehicles whilst still meeting the required performance standards. Aluminum sheets are the most attractive product for the industry to meet government regulations. The traditional approach of trial-and error development cycles can increase the cost of production. Numerical modeling provides a critical technological tool that can be used to fill this decision-making gap. This project will develop separate models that can model the microstructure evolution during various stages of the Thermo-Mechanical (TM) process that leads to the final component production. The goal is to develop a set of tools that can be used to model each "part" of the TM process. In addition, the framework will identify the linkages between these processes so that these developed tools can be applied sequentially to get "true" end-to-end modelling framework. Novelis is planning to implement the models developed in this project as an integrated computational framework. The project will also train highly qualified personnel that can who will help build the talent pool in Canada.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
571909-2022
Name nom
Inal, Kaan AK
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
2022
Competition year année de concours
2022
Award amount
75000
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
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
2003
Research subject group en
Materials science and technology
Research subject group fr
Science et technologie des matériaux
Research subject en
Metallurgy
Research subject fr
Métallurgie
Installment
inst:1
Partie
1
Nb partie
1
Application title
Multiscale Process Modeling for 6000 Series Aluminum Alloys
Application summary
The proposed research project will focus on creating a multiscale modelling framework that can be used for end-to-end process modelling of aluminum automotive sheets. This work will be done in partnership with Novelis, which is the largest supplier of sheet aluminum to the automotive industry. The automotive manufacturers are looking for cost-effective ways to lightweight the vehicles whilst still meeting the required performance standards. Aluminum sheets are the most attractive product for the industry to meet government regulations. The traditional approach of trial-and error development cycles can increase the cost of production. Numerical modeling provides a critical technological tool that can be used to fill this decision-making gap. This project will develop separate models that can model the microstructure evolution during various stages of the Thermo-Mechanical (TM) process that leads to the final component production. The goal is to develop a set of tools that can be used to model each "part" of the TM process. In addition, the framework will identify the linkages between these processes so that these developed tools can be applied sequentially to get "true" end-to-end modelling framework. Novelis is planning to implement the models developed in this project as an integrated computational framework. The project will also train highly qualified personnel that can who will help build the talent pool in Canada.