Closed-loop separation control using machine learning

N Gautier, JL Aider, T Duriez, BR Noack… - Journal of Fluid …, 2015 - cambridge.org
We present the first closed-loop separation control experiment using a novel, model-free
strategy based on genetic programming, which we call 'machine learning control'. The goal …

Proof-of-concept study of sparse processing particle image velocimetry for real time flow observation

N Kanda, C Abe, S Goto, K Yamada, K Nakai… - Experiments in …, 2022 - Springer
In this paper, we overview, evaluate, and demonstrate the sparse processing particle image
velocimetry (SPPIV) as a real-time flow field estimation method using the particle image …

Closed-loop separation control over a sharp edge ramp using genetic programming

A Debien, KAFF Von Krbek, N Mazellier, T Duriez… - Experiments in …, 2016 - Springer
We experimentally perform open and closed-loop control of a separating turbulent boundary
layer downstream from a sharp edge ramp. The turbulent boundary layer just above the …

Fish mouths as engineering structures for vortical cross-step filtration

SL Sanderson, E Roberts, J Lineburg… - Nature communications, 2016 - nature.com
Suspension-feeding fishes such as goldfish and whale sharks retain prey without clogging
their oral filters, whereas clogging is a major expense in industrial crossflow filtration of beer …

[HTML][HTML] CFD investigation of flow over a backward-facing step using an RNG k-? turbulence model

S Darmawan, H Tanujaya - Mechanical Engineering, 2019 - ijtech.eng.ui.ac.id
CFD Investigation of Flow Over a Backward-facing Step using an RNG k-? Turbulence Model
title Title Author Issue Keywords Current Issue : Vol 15, No 3 (2024) Browse By Issue By Title …

Data-driven order reduction and velocity field reconstruction using neural networks: The case of a turbulent boundary layer

A Giannopoulos, JL Aider - Physics of Fluids, 2020 - pubs.aip.org
We present a data-driven methodology to achieve the identification of coherent structure
dynamics and system order reduction of an experimental turbulent boundary layer flow. The …

Prediction of the dynamics of a backward-facing step flow using focused time-delay neural networks and particle image velocimetry data-sets

A Giannopoulos, JL Aider - International Journal of Heat and Fluid Flow, 2020 - Elsevier
The objective of this experimental work was to evaluate the potential of an artificial Neural
Network (NN) to predict the full-field dynamics of a standard separated, noise-amplifier flow …

Reducing the pressure drag of a D-shaped bluff body using linear feedback control

L Dalla Longa, AS Morgans, JA Dahan - Theoretical and Computational …, 2017 - Springer
The pressure drag of blunt bluff bodies is highly relevant in many practical applications,
including to the aerodynamic drag of road vehicles. This paper presents theory revealing …

Feed-forward control of a perturbed backward-facing step flow

N Gautier, JL Aider - Journal of fluid mechanics, 2014 - cambridge.org
Closed-loop control of an amplifier flow is experimentally investigated. A feed-forward
algorithm is implemented to control the flow downstream of a backward-facing step (BFS) …

A hybrid artificial intelligence control of a turbulent jet: Reynolds number effect and scaling

AK Perumal, Z Wu, DW Fan, Y Zhou - Journal of Fluid Mechanics, 2022 - cambridge.org
This work aims to investigate experimentally the effect of the Reynolds number Re, based on
the nozzle diameter D, on jet mixing manipulation using an unsteady radial minijet. A novel …