Application of deep learning for fan rotor blade performance prediction in turbomachinery
J Fesquet, M Bauerheim, L Rojda… - … Expo: Power for …, 2024 - asmedigitalcollection.asme.org
Turbomachinery fan optimisation is a complex multidisciplinary process, which forces
engineers to rely on strong theoretical assumptions and/or can be very computationally …
engineers to rely on strong theoretical assumptions and/or can be very computationally …
Machine Learning Aided Low-Order Predictions of Fan Stage Broadband Interaction Noise
N Li, Y Zhang, J Winkler, CA Reimann, D Voytovych… - AIAA Journal, 2024 - arc.aiaa.org
A fast method for predicting turbofan fan-stage broadband interaction noise is being
developed. The downstream propagating acoustic power in the bypass duct due to the …
developed. The downstream propagating acoustic power in the bypass duct due to the …
C (NN) FD--deep learning predictions of tip clearance variations on multi-stage axial compressors aerodynamic performance
G Bruni, S Maleki, SK Krishnababu - arXiv preprint arXiv:2310.04264, 2023 - arxiv.org
Application of deep learning methods to physical simulations such as CFD (Computational
Fluid Dynamics), have been so far of limited industrial relevance. This paper demonstrates …
Fluid Dynamics), have been so far of limited industrial relevance. This paper demonstrates …
[PDF][PDF] Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics
G Brunia, S Malekib, SK Krishnababua - arXiv preprint arXiv …, 2023 - academia.edu
Application of deep learning methods to physical simulations such as CFD (Computational
Fluid Dynamics) for turbomachinery applications, have been so far of limited industrial …
Fluid Dynamics) for turbomachinery applications, have been so far of limited industrial …