Machine learning methods in CFD for turbomachinery: A review

J Hammond, N Pepper, F Montomoli… - International Journal of …, 2022 - mdpi.com
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 …

[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 …

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 …

Extending highly loaded axial fan operability range through novel blade design

DI Lopez, T Ghisu, T Kipouros… - Journal of …, 2022 - asmedigitalcollection.asme.org
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 …

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 …

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 …

Adjoint based aero-structural design optimisation of a transonic fan blade

C Cuciumita, N Qin, S Shahpar - Proceedings of the …, 2023 - journals.sagepub.com
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 …

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 …

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 …

Gradient-enhanced least-square polynomial chaos expansions for uncertainty quantification and robust optimization

T Ghisu, DI Lopez, P Seshadri, S Shahpar - AIAA AVIATION 2021 …, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-3073. vid Regression-based
Polynomial Chaos expansions offer several advantages over projection-based approaches …