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Grant: Collaborative Research and Development Grants

Queen's University

$80,000.00

Multi-disciplinary topology optimization for metal additive manufacturing under uncertainty

FY 2017-18

Summary
Global air passenger volumes continue to rise substantially each year, driven by increasing globalization of society and the continued development of many emerging countries who are showing the largest increases in air traffic. To keep commercial air travel environmentally sustainable, many new technologies need to be incorporated in order to adequately improve the efficiency of each aircraft, so that improvements in efficiency can offset the planned increases in demand. Due to the recursive relationship between aircraft weight and fuel requirements, weight reduction promises to be amongst the most straightforward methods of achieving these critical efficiency improvements.The proposed work outlines three primary research tasks, which will help to reduce weight in the next generation of commercial aircraft: multi-disciplinary topology optimization, analysis and optimization for additive manufacturing of metal components, and design under the uncertainties associated with additive manufacturing. All three tasks seek to build upon existing technologies, but require substantial improvement before they can be applied effectively to problems in the aerospace industry. The primary objective of this research is develop advanced multi-physics modeling and design optimization methodologies to remove the barrier to entry in each of these three fields. Through partnership between researchers at Queen's University and leading industry experts and facilities at Pratt & Whitney Canada, the project will focus heavily on theoretical advancements that are highly applicable to the aerospace industry in particular.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
501136-2016
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
2017
Competition year année de concours
2016
Award amount
80000
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
1700
Research subject group en
Design and manufacturing
Research subject group fr
Conception et fabrication
Research subject en
Design and manufacturing
Research subject fr
Conception et fabrication
Partie
2
Nb partie
3
Application title
Multi-disciplinary topology optimization for metal additive manufacturing under uncertainty
Keyword
NSERC
Application summary
Global air passenger volumes continue to rise substantially each year, driven by increasing globalization of society and the continued development of many emerging countries who are showing the largest increases in air traffic. To keep commercial air travel environmentally sustainable, many new technologies need to be incorporated in order to adequately improve the efficiency of each aircraft, so that improvements in efficiency can offset the planned increases in demand. Due to the recursive relationship between aircraft weight and fuel requirements, weight reduction promises to be amongst the most straightforward methods of achieving these critical efficiency improvements.The proposed work outlines three primary research tasks, which will help to reduce weight in the next generation of commercial aircraft: multi-disciplinary topology optimization, analysis and optimization for additive manufacturing of metal components, and design under the uncertainties associated with additive manufacturing. All three tasks seek to build upon existing technologies, but require substantial improvement before they can be applied effectively to problems in the aerospace industry. The primary objective of this research is develop advanced multi-physics modeling and design optimization methodologies to remove the barrier to entry in each of these three fields. Through partnership between researchers at Queen's University and leading industry experts and facilities at Pratt & Whitney Canada, the project will focus heavily on theoretical advancements that are highly applicable to the aerospace industry in particular.
Queen's University - $80,000 Grant (2017-18) | Canada Spends