Grant: Collaborative Research and Development Grants
Queen's University
$128,000.00
Packaging and topology optimization and product family design for aerospace structures
FY 2018-19
Summary
As modern engineering designs become increasingly complex, industry is continually striving for ways to streamline their design and manufacturing processes, while improving the quality of their products. Topology optimization can produce a non-intuitive optimal design from an unbiased starting point in a shorter period of time, with better performance than a component designed using traditional iterative design methods. Packaging optimization determine the most efficient layout of components within a given set of boundaries to reduce size, weight, and overall cost. *Throug partnership between researchers at Queen's University and leading industry experts at Bombardier Aerospace, the project will focus heavily on developing novel theoretical advancements via algorithms and methodologies to solve modern engineering design problems. The objective of this proposed research is to develop new design methodologies in packaging and topology optimization which can be applied to aerospace structural and system layout design in order to reduce weight and costs of aerospace structures, while satisfying certification requirements. The theoretical research completed will be applied to three real-world engineering design problems at Bombardier Aerospace. The design of aircraft seating, passenger service units (PSU's), and cockpit doors will be completed using the methodologies produced from the research for validation. Certification considerations will be thoroughly studied to ensure that all designs produced as a result of this research meet CARs (Canadian Aviation Regulations) and FARs (Federal Aviation Regulations) requirements. This project will support 2 PhD students and 5 Master's students over 5 years.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
514755-2017
Name nom
Kim, IlYong
Department département
Mechanical and Materials Engineering
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
128000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2108
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Aerospace, aeronautical and automotive engineering
Research subject fr
Génie aérospatial, aéronautique et automobile
Partie
1
Nb partie
2
Application title
Packaging and topology optimization and product family design for aerospace structures
Keyword
NSERC
Application summary
As modern engineering designs become increasingly complex, industry is continually striving for ways to streamline their design and manufacturing processes, while improving the quality of their products. Topology optimization can produce a non-intuitive optimal design from an unbiased starting point in a shorter period of time, with better performance than a component designed using traditional iterative design methods. Packaging optimization determine the most efficient layout of components within a given set of boundaries to reduce size, weight, and overall cost. *Throug partnership between researchers at Queen's University and leading industry experts at Bombardier Aerospace, the project will focus heavily on developing novel theoretical advancements via algorithms and methodologies to solve modern engineering design problems. The objective of this proposed research is to develop new design methodologies in packaging and topology optimization which can be applied to aerospace structural and system layout design in order to reduce weight and costs of aerospace structures, while satisfying certification requirements. The theoretical research completed will be applied to three real-world engineering design problems at Bombardier Aerospace. The design of aircraft seating, passenger service units (PSU's), and cockpit doors will be completed using the methodologies produced from the research for validation. Certification considerations will be thoroughly studied to ensure that all designs produced as a result of this research meet CARs (Canadian Aviation Regulations) and FARs (Federal Aviation Regulations) requirements. This project will support 2 PhD students and 5 Master's students over 5 years.