Reference number : GC-2017-Q2-00477, amendment number : , agreement type : G, recipient legal name : Kim, Il-Yong (Queen’s University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Collaborative Research and Development Grants - Project, program name french : Subventions de recherche et développement coopérative - projet, program purpose english : The automotive industry is facing significant challenges for next-generation vehicle design as fuel economy regulations and tailpipe emission standards continue to strive for greater efficiency. In order to ensure vehicle design reaches these sustainability targets, lightweighting through multi-material design and topology optimization has been suggested as the leading method to reduce weight from conventional chassis and body structures. More effective tools, techniques, and methodologies are now required to advance the development of multi-phase optimization tools beyond current commercial capability, and help automotive designers achieve critical efficiency improvements without sacrificing performance. The proposed research will perform three main tasks, which cannot be achieved by means of currently available commercial software: (1) multi-material topology optimization for composites (by considering layered, anisotropic materials) and NVH (noise, vibration, and harshness); (2) multi-joint topology optimization and optimization for parts consolidation; and (3) large-scale topology optimization with full integration onto multi-material topology optimization and multi-joint topology optimization. All three tasks seek to address the next major challenges in multi-material design and build upon the state-of-the-art research in the field, currently being conducted at Queen's University. The primary objectives of this research are to create advanced multi-material design algorithms, develop new computational tools, and solve complex, real-world industry problems for next-generation vehicle design. The project will support total 4 PhD students and 6 MSc students throughout their research activities and until graduation. _x000D_
_x000D_, program purpose french : The automotive industry is facing significant challenges for next-generation vehicle design as fuel economy regulations and tailpipe emission standards continue to strive for greater efficiency. In order to ensure vehicle design reaches these sustainability targets, lightweighting through multi-material design and topology optimization has been suggested as the leading method to reduce weight from conventional chassis and body structures. More effective tools, techniques, and methodologies are now required to advance the development of multi-phase optimization tools beyond current commercial capability, and help automotive designers achieve critical efficiency improvements without sacrificing performance. The proposed research will perform three main tasks, which cannot be achieved by means of currently available commercial software: (1) multi-material topology optimization for composites (by considering layered, anisotropic materials) and NVH (noise, vibration, and harshness); (2) multi-joint topology optimization and optimization for parts consolidation; and (3) large-scale topology optimization with full integration onto multi-material topology optimization and multi-joint topology optimization. All three tasks seek to address the next major challenges in multi-material design and build upon the state-of-the-art research in the field, currently being conducted at Queen's University. The primary objectives of this research are to create advanced multi-material design algorithms, develop new computational tools, and solve complex, real-world industry problems for next-generation vehicle design. The project will support total 4 PhD students and 6 MSc students throughout their research activities and until graduation. _x000D_
_x000D_, agreement title english : Lightweighting using multi-materials and parts integration, agreement title french : Lightweighting using multi-materials and parts integration, agreement number : CRDPJ, agreement value : 400000.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2022-2023)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2022-2023)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada