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Experimental measurement-based frequency-conditioned neural network modeling of conical acoustic liners under combined grazing and bias flow

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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
Acoustic liners are essential for noise reduction in aeroengines, but geometric parameter optimization for these in complex flows still represents an important challenge. The work presents a machine learning approach to estimate and optimize sound ...