It is expected that future civil aero-engines will operate at low specific thrust and high-bypass ratios to improve propulsive efficiency. This may result in an increment in fan diameter and associated weight and nacelle drag penalties. For this reason, these new architectures may use compact nacelles to meet the benefits of the new engine cycles. The aim of the current work is to evaluate the aerodynamic design and performance of compact nacelles for medium range, single-aisle aircraft with a cruise Mach number of M = 0.80. This work encompasses the 3D multi-point, multi-objective optimisation of nacelles by considering cruise conditions as well as a range of off-design requirements such as an increased cruise Mach number, a windmilling en...
To address the need for accurate nacelle drag estimation, an assessment has been made of different n...
Aerodynamic shape optimisation is complex due to the high dimensionality of the problem, the associa...
A multi-objective optimiZation method is demonstrated using an evolutionary genetic algorithm. The a...
Purpose Relative to in-service aero-engines, the bypass ratio of future civil architectures may inc...
To reduce specific fuel consumption, it is expected that the next generation of aero-engines will op...
There are significant environmental and economic drivers for the development of more fuel-efficient ...
Future turbo-fan engines are expected to operate at low specific thrust with high bypass ratios to i...
An optimisation method consisting of the non-dominated sorting genetic algorithm (NSGA-II) and compu...
Future turbofan engines will operate with larger engine bypass-ratios and lower specific thrust than...
To achieve a higher propulsive efficiency, and hence reduced fuel burn and emissions, the next gener...
This paper presents a newly developed methodology for multipoint aerodynamic design of ultrashort na...
This thesis deals with the aerodynamics of aero-engine nacelles with a focus on the influence of a s...
The design of a civil aeroengine nacelle is a complex multi-objective constrained problem, where sev...
The purpose was to develop a preliminary nacelle design method to evaluate the impact of the nacelle...
Attention to aircraft electrification has been growing quickly since such technology carries the pot...
To address the need for accurate nacelle drag estimation, an assessment has been made of different n...
Aerodynamic shape optimisation is complex due to the high dimensionality of the problem, the associa...
A multi-objective optimiZation method is demonstrated using an evolutionary genetic algorithm. The a...
Purpose Relative to in-service aero-engines, the bypass ratio of future civil architectures may inc...
To reduce specific fuel consumption, it is expected that the next generation of aero-engines will op...
There are significant environmental and economic drivers for the development of more fuel-efficient ...
Future turbo-fan engines are expected to operate at low specific thrust with high bypass ratios to i...
An optimisation method consisting of the non-dominated sorting genetic algorithm (NSGA-II) and compu...
Future turbofan engines will operate with larger engine bypass-ratios and lower specific thrust than...
To achieve a higher propulsive efficiency, and hence reduced fuel burn and emissions, the next gener...
This paper presents a newly developed methodology for multipoint aerodynamic design of ultrashort na...
This thesis deals with the aerodynamics of aero-engine nacelles with a focus on the influence of a s...
The design of a civil aeroengine nacelle is a complex multi-objective constrained problem, where sev...
The purpose was to develop a preliminary nacelle design method to evaluate the impact of the nacelle...
Attention to aircraft electrification has been growing quickly since such technology carries the pot...
To address the need for accurate nacelle drag estimation, an assessment has been made of different n...
Aerodynamic shape optimisation is complex due to the high dimensionality of the problem, the associa...
A multi-objective optimiZation method is demonstrated using an evolutionary genetic algorithm. The a...