The transformative potential of machine learning for experiments in fluid mechanics

R Vinuesa, SL Brunton, BJ McKeon - Nature Reviews Physics, 2023 - nature.com
The field of machine learning (ML) has rapidly advanced the state of the art in many fields of
science and engineering, including experimental fluid dynamics, which is one of the original …

Instantaneous wall-shear-stress measurements: advances and application to near-wall extreme events

R Örlü, R Vinuesa - Measurement Science and Technology, 2020 - iopscience.iop.org
In this article we provide an overview of widely used methods to measure the mean and
fluctuating components of the wall-shear stress in wall-bounded turbulent flows. We first note …

Evaluation of mass injection cooling on flow and heat transfer characteristics for high-temperature inlet air in a MIPCC engine

A Lin, J Zhou, H Fawzy, H Zhang, Q Zheng - International Journal of Heat …, 2019 - Elsevier
Thermal management on high-temperature inlet air cooling is one crucial factor to improve
the aero-engine performance. In this study, Mass Injection and Pre-compressor Cooling …

[HTML][HTML] On numerical uncertainties in scale-resolving simulations of canonical wall turbulence

S Rezaeiravesh, R Vinuesa, P Schlatter - Computers & Fluids, 2021 - Elsevier
The present study focuses on applying different metrics to assess accuracy, robustness and
sensitivity of scale-resolving simulations of turbulent channel flow, when the numerical …

Numerical investigation of wavy wall strut fuel injector for hydrogen fueled scramjet combustor

OR Kummitha, KM Pandey, R Gupta - International Journal of Hydrogen …, 2019 - Elsevier
Mixing and combustion of a fuel with supersonic airstream in a scramjet combustor is a
complex phenomenon because of very less resident time of the air in the combustion …

[HTML][HTML] Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer

A Cremades, S Hoyas, R Vinuesa - International Journal of Heat and Fluid …, 2025 - Elsevier
The use of data-driven methods in fluid mechanics has surged dramatically in recent years
due to their capacity to adapt to the complex and multi-scale nature of turbulent flows, as …

Assessment of friction drag reduction on a Clark-Y airfoil by uniform blowing

K Eto, Y Kondo, K Fukagata, N Tokugawa - AIAA journal, 2019 - arc.aiaa.org
Effects of uniform blowing on a Clark-Y airfoil are investigated experimentally aiming at
turbulent friction drag reduction. The uniform blowing is applied on the rear part of the upper …

Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks

L Guastoni, MP Encinar, P Schlatter… - Journal of physics …, 2020 - iopscience.iop.org
A fully-convolutional neural-network model is used to predict the streamwise velocity fields
at several wall-normal locations by taking as input the streamwise and spanwise wall-shear …

Direct numerical simulation of incompressible turbulent boundary layers and planar jets at high Reynolds numbers initialized with implicit large eddy simulation

T Watanabe, X Zhang, K Nagata - Computers & Fluids, 2019 - Elsevier
A direct numerical simulation (DNS) initialized with an implicit large eddy simulation (ILES)
is performed for temporally evolving planar jets and turbulent boundary layers. In the ILES …

A simplified photogrammetry procedure in oil-film interferometry for accurate skin-friction measurement over arbitrary geometries

I Gluzman, P Gray, K Mejia, TC Corke, FO Thomas - Experiments in Fluids, 2022 - Springer
An accurate and straightforward skin-friction measurement procedure over a three-
dimensional (3D) bump geometry is proposed. The procedure employs oil-film …