33th Congress of the International Council of the Aeronautical Sciences

05 - Propulsion

OPTIMIZATION OF INSTALLED COMPACT AND ROBUST NACELLES USING SURROGATE MODELS

F. Sánchez-Moreno¹, D. MacManus¹, J. Hueso-Rebassa¹, F. Tejero¹, C. Sheaf, Rolls Royce, United Kingdom; ¹Cranfield University, United Kingdom

A method for aero-engine compact nacelle optimization in installed configuration is proposed using a single fidelity surrogate modelling approach based on Euler CFD data. Artificial neural networks and Kriging interpolation have been used as machine learning methods to model the design space and guide the optimization. The methodology accounts for design robustness at off-design operating points.


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