Machine learning methods in CFD for turbomachinery: A review
Computational Fluid Dynamics is one of the most relied upon tools in the design and
analysis of components in turbomachines. From the propulsion fan at the inlet, through the …
analysis of components in turbomachines. From the propulsion fan at the inlet, through the …
[HTML][HTML] Neural network-based multi-point, multi-objective optimisation for transonic applications
F Tejero, DG MacManus, F Sanchez-Moreno… - Aerospace Science and …, 2023 - Elsevier
In the context of aircraft applications, the overall design process can be challenging due to
the different aerodynamic requirements at several operating conditions and the total …
the different aerodynamic requirements at several operating conditions and the total …
Application of artificial intelligence in turbomachinery aerodynamics: progresses and challenges
Z Zou, P Xu, Y Chen, L Yao, C Fu - Artificial Intelligence Review, 2024 - Springer
Turbomachinery plays a vital role in energy conversion systems, with aerodynamic issues
being integral to its entire lifecycle, spanning the period of design, validation, and …
being integral to its entire lifecycle, spanning the period of design, validation, and …
Extending highly loaded axial fan operability range through novel blade design
The tip clearance size has historically been considered to be the main factor affecting
stability range in axial fan and compressors. This paper reveals that the stall characteristics …
stability range in axial fan and compressors. This paper reveals that the stall characteristics …
An efficient surrogate-assisted differential evolution algorithm for turbomachinery cascades optimization with more than 100 variables
Z Guo, Z Zhang, Y Chen, G Ma, L Song, J Li… - Aerospace Science and …, 2023 - Elsevier
The CFD-based design optimization of turbomachinery cascades is a typical high-
dimensional expensive black-box (HEB) problem. Specifically, to fully consider the …
dimensional expensive black-box (HEB) problem. Specifically, to fully consider the …
Sensitivity analysis and robust optimization to high-dimensional uncertainties of compressors with active subspace method
Z Song, Y Wu, X Liu, J Li - Aerospace Science and Technology, 2024 - Elsevier
The performance of compressors often deviates significantly from the design value due to
the substantial geometric deviations arising from manufacturing errors and in-service …
the substantial geometric deviations arising from manufacturing errors and in-service …
Adjoint based aero-structural design optimisation of a transonic fan blade
A novel optimisation process has been proposed in this paper to maximize the aerodynamic
efficiency of a modern fan blade while satisfying the structural constraint imposed by the …
efficiency of a modern fan blade while satisfying the structural constraint imposed by the …
A review on aerodynamic optimization of turbomachinery using adjoint method
R Lavimi, AE Benchikh Le Hocine… - Proceedings of the …, 2024 - journals.sagepub.com
Improvements in aerodynamic turbomachinery design have gained attraction due to the
increased demand for a more sustainable future. Several optimization approaches have …
increased demand for a more sustainable future. Several optimization approaches have …
Twofold adaptive design space reduction for constrained Bayesian optimization of transonic compressor blades
L Pretsch, I Arsenyev, E Raponi… - … Expo: Power for …, 2024 - asmedigitalcollection.asme.org
As turbomachinery designs become more complex, shape optimization tasks involve
computationally expensive simulations and many constraints and design variables …
computationally expensive simulations and many constraints and design variables …
Gradient-enhanced least-square polynomial chaos expansions for uncertainty quantification and robust optimization
View Video Presentation: https://doi. org/10.2514/6.2021-3073. vid Regression-based
Polynomial Chaos expansions offer several advantages over projection-based approaches …
Polynomial Chaos expansions offer several advantages over projection-based approaches …