Cover Image

Automatic extraction of wall streamlines from oil-flow visualizations using a convolutional neural network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schulte-Sasse, Jonas, Steinfurth, Ben, Weiss, Julien
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing pulsed blowing parameters for active separation control in a one-sided diffuser using reinforcement learning
by: Müller, Alexandra, et al.
Published: (2024)

Amplifying vortex shedding for energy harvesting with active flow control
by: Jaganath, Varun Varma, et al.
Published: (2024)

Standing-Wave Dynamics in Low-Frequency Breathing of a Turbulent Separation Bubble
by: Fuchs, Lukas M., et al.
Published: (2025)

Prediction of flow and elastic stresses in a viscoelastic turbulent channel flow using convolutional neural networks
by: Balasubramanian, Arivazhagan G., et al.
Published: (2024)

Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network
by: Mo, Yaxin, et al.
Published: (2024)

A viscous drop in a planar linear flow -- the role of deformation on streamline topology
by: Narayanan, Sabarish V., et al.
Published: (2024)

Reconstructing three-dimensional bluff body wake from sectional flow fields with convolutional neural networks
by: Matsuo, Mitsuaki, et al.
Published: (2021)

Fully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers
by: Guastoni, L., et al.
Published: (2022)

Data-driven discovery of drag-inducing elements on a rough surface through convolutional neural networks
by: Shin, Heesoo, et al.
Published: (2024)

Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements
by: Cuéllar, Antonio, et al.
Published: (2024)

Self-scaling tensor basis neural network for Reynolds stress modeling of wall-bounded turbulence
by: Yuan, Zelong, et al.
Published: (2026)

Statistical topology of the streamlines of a two-dimensional flow
by: Kamb, M., et al.
Published: (2021)

Monte-Carlo based model for the extraction of oil from oil-water mixtures using wetting and surface acoustic waves
by: Marcos, Jesús. M., et al.
Published: (2025)

Using wetting and ultrasonic waves to extract oil from oil/water mixtures
by: Li, Yifan, et al.
Published: (2025)

Solving all laminar flows around airfoils all-at-once using a parametric neural network solver
by: Cao, Wenbo, et al.
Published: (2025)

Enhancing wall-to-wall heat transport with unsteady flow perturbations
by: Alben, Silas, et al.
Published: (2025)

Reconstruction of instantaneous flow fields from transient velocity snapshots using physics-informed neural networks: Applications to pulsatile blood flow behind a stenosis
by: Ueda, Kakeru, et al.
Published: (2026)

SENSE -- Sensor-Enhanced Neural Shear Stress Estimation for Quantitative Oilfilm Visualizations
by: Rohlfs, Lennart, et al.
Published: (2025)

Multiscale super-resolution reconstruction of fluid flows with deep neural networks
by: Yang, Gengchao, et al.
Published: (2025)

Reynolds stress scaling in the near-wall region of wall-bounded flows
by: Smits, Alexander J., et al.
Published: (2021)

Multi-pathline flow visualization using PIV images
by: Sun, Yukun, et al.
Published: (2026)

Physics-informed neural networks for multi-field visualization with single-color laser induced fluorescence
by: Ohashi, Nagahiro, et al.
Published: (2024)

On the Reynolds analogy for high-speed rough-wall flows: implications for wall modelling
by: Cogo, Michele, et al.
Published: (2026)

Scaling of wall pressure and the peak of streamwise turbulence intensity in compressible wall flows
by: Hasan, Asif Manzoor, et al.
Published: (2025)

Physics-constrained convolutional neural networks for inverse problems in spatiotemporal partial differential equations
by: Kelshaw, Daniel, et al.
Published: (2024)

Tensor network reduced order models for wall-bounded flows
by: Kiffner, Martin, et al.
Published: (2023)

Deep reinforcement learning for the management of the wall regeneration cycle in wall-bounded turbulent flows
by: Cavallazzi, Giorgio Maria, et al.
Published: (2024)

Physics-guided Bayesian neural networks for zonal corrections and uncertainty quantification in separated flows
by: Eidi, Ali, et al.
Published: (2025)

Bayesian neural network correction of RANS turbulence models with uncertainty quantification in separated flows
by: Buchanan, Tyler, et al.
Published: (2026)

Physics-informed neural networks for unsteady incompressible flows with time-dependent moving boundaries
by: Zhu, Yongzheng, et al.
Published: (2023)

Parametric and inverse analysis of flow inside an obstructed channel under the influence of magnetic field using physics informed neural networks
by: Ghaderi, Ehsan, et al.
Published: (2024)

Reduced-order modeling of unsteady fluid flow using neural network ensembles
by: Halder, Rakesh, et al.
Published: (2024)

Role of boundary conditions and wall orientation on the transport of settling inertial particles in wall-bounded flows
by: Zhang, Y., et al.
Published: (2025)

DMR effect on drag reduction of a streamlined body measured by Magnetic Suspension and Balance System
by: Yakeno, Aiko, et al.
Published: (2026)

Spatiotemporal statistics of the dissipation rate at the boundary of a turbulent flow using Diffusing-Wave Spectroscopy
by: Francisco, Enzo, et al.
Published: (2025)

Reconsiderations about inner layer of wall-bounded flows
by: Nagib, Hassan
Published: (2025)

From wall observations to turbulence: The difficulty of flow reconstruction
by: Wang, Qi, et al.
Published: (2021)

On the rheoscopic measurement of turbulent decay in wall-bounded flows
by: Liu, Tao, et al.
Published: (2026)

Experimental study on gravity currents flowing on heated walls
by: Lanzini, Stefano, et al.
Published: (2026)

Understanding the effect of wall elasticity in turbulent channel flows
by: Koseki, M., et al.
Published: (2025)