TY - GEN
T1 - Aeroacoustic and aerodynamic optimization of aircraft propeller blades
AU - Marinus, B. G.
AU - Roger, M.
AU - Van Den Braembussche, R. A.
PY - 2010
Y1 - 2010
N2 - Multidisciplinary and multi-objective optimization of transonic propeller blades is performed with Differential Evolution. The optimization process relies on the combined use of an Artificial Neural Network metamodel to allow spreading of the process over large numbers of generations as well as individuals, and of RANS simulations in order to safeguard the accuracy. The optimization parameters comprise the control points of b-spline parameterizations of the radial distributions of sweep, twist, chord and thickness as well as the points controlling the shape of the two airfoils used to manufacture the blade. The optimization results are discussed in terms of aerodynamic and aeroacoustic performance.
AB - Multidisciplinary and multi-objective optimization of transonic propeller blades is performed with Differential Evolution. The optimization process relies on the combined use of an Artificial Neural Network metamodel to allow spreading of the process over large numbers of generations as well as individuals, and of RANS simulations in order to safeguard the accuracy. The optimization parameters comprise the control points of b-spline parameterizations of the radial distributions of sweep, twist, chord and thickness as well as the points controlling the shape of the two airfoils used to manufacture the blade. The optimization results are discussed in terms of aerodynamic and aeroacoustic performance.
UR - https://www.scopus.com/pages/publications/78649581119
M3 - Conference contribution
AN - SCOPUS:78649581119
SN - 9781600867446
T3 - 16th AIAA/CEAS Aeroacoustics Conference (31st AIAA Aeroacoustics Conference)
BT - 16th AIAA/CEAS Aeroacoustics Conference (31st AIAA Aeroacoustics Conference)
T2 - 16th AIAA/CEAS Aeroacoustics Conference (31st AIAA Aeroacoustics Conference)
Y2 - 7 June 2010 through 9 June 2010
ER -