A Review of Machine Learning Methods in Turbine Cooling Optimization

L Xu, S **, W Ye, Y Li, J Gao - Energies, 2024 - mdpi.com
In the current design work, turbine performance requirements are getting higher and higher,
and turbine blade design needs multiple rounds of iterative optimization. Three-dimensional …

Thermal radiation correction formula of the scaling criteria for film cooling of turbine blades

H Li, M Wang, R You, S Liu - Energy, 2023 - Elsevier
Adiabatic effectiveness (η) is the most important parameter for evaluating film cooling
capacity. For turbine blades, it is usually based on the scaling criteria to achieve the …

[HTML][HTML] Reynolds stresses and turbulent heat fluxes in fan-shaped and cylindrical film cooling holes

M Hao, L di Mare - International Journal of Heat and Mass Transfer, 2023 - Elsevier
Large eddy simulation (LES) is carried out to predict the thermal performance, unsteady flow
patterns, and turbulence characteristics of the fan-shaped hole and the cylindrical hole …

Predicting and optimizing multirow film cooling with trenches using gated recurrent unit neural network

Y Wang, Z Wang, W Wang, H Li, W Shen, J Cui - Physics of Fluids, 2022 - pubs.aip.org
The film cooling of cylindrical holes embedded in transverse trenches under superposition
has shown promise for protecting the critical components of a high-pressure turbine from …

Correction formula for film-cooling effectiveness considering the influence of thermal radiation in high-temperature environments

M Wang, R You, H Li, Z Tao - Applied Thermal Engineering, 2023 - Elsevier
Film-cooling effectiveness (η) evaluation test of aero-engine turbine blades is usually
conducted in a low or medium temperature environment. Through the scaling criteria, it can …

Uncertainty quantification of the superposition film cooling with trench using supervised machine learning

Y Wang, Z Wang, S Qian, W Wang, Y Zheng… - International Journal of …, 2022 - Elsevier
Film cooling technology is significant for aero-turbines development. However, uncertainty
on operating and manufacturing conditions would put the high-pressure turbines at the risk …

A transfer learning method to assimilate numerical data with experimental data for effusion cooling

H Yu, J Lou, H Liu, Z Chu, Q Wang, L Yang… - Applied Thermal …, 2023 - Elsevier
Effusion cooling was one of the most important external cooling technologies for airfoils in
gas turbines and aeroengines. Due to the complicated flow field of effusion cooling …

Numerical investigation of cooling performance of 3D-printable cooling structure for aero-engine combustor

H Li, F **e, Y Zhuang, Y Wang, Y Yan, G Xu… - Applied Thermal …, 2024 - Elsevier
Thermal protection is an essential technology for gas turbine hot components to cope with
the unprecedented thermal loads, and to ensure their enduring and efficient operation. A 3D …

Multi-step optimization of hybrid cooling array via integrating Taguchi method and long short-term memory neural network

H Li, Q Zeng, Y Zhuang, Y Wang, Z Ye, J Cui - Applied Thermal Engineering, 2024 - Elsevier
In advanced aero-engines, the pursuit of higher propulsive efficiency and power output
creates an imbalance in the supply and demand of cooling air. In response, this study …

Deep active subspace method for dominant factor exploration and optimization in fan-shaped film cooling

F Cai, H Zhou, F Chen, M Yao, Z Ren - … Journal of Heat and Mass Transfer, 2025 - Elsevier
This study introduces a novel algorithm that combines deep learning with active subspace
method to address the challenge of quantitatively analyzing the effects of various …