Sustainable aviation is the overarching theme of our aerospace research. This is aimed at coupling advanced simulation methods with new design, material and manufacturing processes to improve the physical, environmental and economic performance of future aircraft systems. Research activities span aerodynamics, powerplant, aeroelasticity, aircraft operations, design, analysis & optimisation and structural testing. A major focus of our work is the integration of these disciplines into an overall systems framework.
Computational methods for aerodynamic and aeroelastic analysis and design.
Our primary aim is to develop advanced high-fidelity methods for the analysis and design of future aerospace vehicles.
Collaborative simulation tools and advanced virtual environments for optimal product / process design.
Improved design concurrency for digital manufacture, assembly validation and through life performance.
Air traffic management and systems integration
Meeting the safety and efficiency needs needs of 21st century air traffic expansion.
Experimental and numerical static strength analysis of aircraft wing and fuselage structures
Design and validation of novel geometric, material systems and manufacturing solutions
Aircraft structural design and analysis, manufacture and cost modelling
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Aero-structural optimisation, virtual testing, aerospace multi-functional composites
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Computer aided engineering for aerospace applications, aircraft load and stress characterisation
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Aircraft structural design-for-manufacture and optimisation, virtual testing of aero-structures
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Advanced aircraft design methods, systems engineering, aircraft value driven design
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Aircraft manufacturing simulation, multi-scale and multi-physics simulation
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Virtual aircraft manufacture and assembly, through life engineering
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Aerodynamic analysis and optimisation, aircraft operations, cost-benefit analysis
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Thermo-fluid modelling, computational fluid dynamics, reduced order modelling
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Automated aircraft assembly, digital lean manufacturing, intelligent manufacturing
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Design-simulation integration, finite element modelling, adjoint optimisation methods
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For more information please read our Equality and Diversity Policy.
Queen's University Belfast is registered with the Charity Commission for Northern Ireland NIC101788
VAT registration number: GB 254 7995 11
