Dual scale Residual-Network for turbulent flow sub grid scale resolving: A prior analysisThis paper introduces generative Residual Networks (ResNet) as a surrogate Machine Learning (ML) tool for Large Eddy Simulation (LES) Sub Grid Scale (SGS) resolving. The study investigates the impact…Omar Sallam, Mirjam Fürth·Sep 11, 2024SaveLearn
Hammering at the entropy: A GENERIC-guided approach to learning polymeric rheological constitutive equations using PINNsWe present a versatile framework that employs Physics-Informed Neural Networks (PINNs) to discover the entropic contribution that leads to the constitutive equation for the extra-stress in…David Nieto Simavilla, Andrea Bonfanti, Imanol García de Beristain et al.·Sep 11, 2024SaveLearn
Some effects of limited wall-sensor availability on flow estimation with 3D-GANsIn this work we assess the impact of the limited availability of wall-embedded sensors on the full 3D estimation of the flow field in a turbulent channel with Reτ = 200. The estimation technique…Antonio Cuéllar, Andrea Ianiro, Stefano Discetti·Sep 11, 2024SaveLearn
Surface roughness effects in a transonic axial flow compressor operating at near-stall conditionsSurface roughness is a major contributor to performance degradation in gas turbine engines. The fan and the compressor, as the first components in the engine's air path, are especially vulnerable to…Prashant B. Godse, Harshal D. Akolekar, A. M. Pradeep·Sep 11, 2024SaveLearn
Turbulent skin-friction drag reduction via spanwise forcing at high Reynolds numberWe address the Reynolds-number dependence of the turbulent skin-friction drag reduction induced by streamwise-travelling waves of spanwise wall oscillations. The study relies on direct numerical…Davide Gatti, Maurizio Quadrio, Alessandro Chiarini et al.·Sep 11, 2024SaveLearn
Inertial forces and elastohydrodynamic interaction of spherical particles in wall-bounded sedimentation experiments at low particle Reynolds numberWall-bounded sedimentation of spherical particles at low particle Reynolds numbers ReP 0.1 under the influence of elastic deformation was investigated experimentally. The…Isabell Noichl, Clarissa Schönecker·Sep 11, 2024SaveLearn
Coupling Machine Learning Local Predictions with a Computational Fluid Dynamics Solver to Accelerate Transient Buoyant Plume SimulationsData-driven methods demonstrate considerable potential for accelerating the inherently expensive computational fluid dynamics (CFD) solvers. Nevertheless, pure machine-learning surrogate models face…Clément Caron, Philippe Lauret, Alain Bastide·Sep 11, 2024SaveLearn
Dynamics of jet breakup and the resultant drop size distribution: effect of nozzle size and impingement velocityWe conduct systematic experiments to investigate the dynamics of liquid jet breakup and the resulting droplet size distribution, emphasizing the influence of liquid jet velocity and needle exit…Pavan Kumar Kirar, Nikhil Kumar, Kirti Chandra Sahu·Sep 11, 2024SaveLearn
Miscible fluids patterning and micro-manipulation using vortex-based single-beam acoustic tweezersVortex-based single-beam tweezers have the ability to precisely and selectively move a wide range of objects, including particles, bubbles, droplets, and cells with sizes ranging from the millimeter…Samir Almohamad, Gustav Modler, Ravinder Chutani et al.·Sep 11, 2024SaveLearn
An Improved Height Difference Based Model of Height Profile for Drop-on-Demand 3D Printing With UV Curable InkThis paper proposes an improved height profile model for drop-on-demand 3D printing with UV curable ink. It is extended from a previously validated model and computes height profile indirectly from…Yumeng Wu, George Chiu·Sep 11, 2024SaveLearn
Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurementsDifferent types of neural networks have been used to solve the flow sensing problem in turbulent flows, namely to estimate velocity in wall-parallel planes from wall measurements. Generative…Antonio Cuéllar, Alejandro Güemes, Andrea Ianiro et al.·Sep 10, 2024SaveLearn
Mixing in viscoelastic fluids using elastic turbulenceWe investigate the influence of elastic turbulence on mixing of a scalar concentration field within a viscoelastic fluid in a two-dimensional Taylor-Couette geometry using numerical solutions of the…Reinier van Buel, Holger Stark·Sep 10, 2024SaveLearn
Rough surfaces in under-explored surface morphology space and their implications on roughness modellingWe report direct numerical simulation (DNS) results of the rough-wall channel, focusing on roughness with high krms/ka statistics but small to negative Sk statistics, and we study the…Shyam S. Nair, Vishal A. Wadhai, Robert F. Kunz et al.·Sep 9, 2024SaveLearn
Characterizing Turbulence at a Forest Edge: Comparing Sub-filter Scale Turbulence Models in Simulations of Flow over a CanopyIn wildfires, atmospheric turbulence plays a major role in the transfer of turbulent kinetic energy. Understanding how turbulence feeds back into a dynamical system is important, down to the varying…Dorianis M. Perez, Jesse M. Canfield, Rodman R. Linn et al.·Sep 9, 2024SaveLearn
Characterizing Turbulence at a Forest Edge: A Vorticity Budget Analysis around a CanopyVorticity is a key characteristic of flow patterns that determine wildland fire behavior, frontal evolution, and wind-canopy interaction. Investigating the role of vorticity in the flow fields around…Dorianis M. Perez, Jesse M. Canfield, Rodman R. Linn et al.·Sep 9, 2024SaveLearn
Mapping Driven Oscillations in the Size of a Bubble to the Dynamics of a Newtonian Particle in a PotentialThe non-linear dynamics of driven oscillations in the size of a spherical bubble are mapped to the dynamics of a Newtonian particle in a potential within the incompressible liquid regime. The…Uri Shimon, Ady Stern·Sep 9, 2024SaveLearn
Casimir preserving numerical method for global multilayer geostrophic turbulenceAccurate long-term predictions of large-scale flow features on planets are crucial for understanding global atmospheric and oceanic systems, necessitating the development of numerical methods that…Arnout Franken, Erwin Luesink, Sagy Ephrati et al.·Sep 9, 2024SaveLearn
Vortex structures under dimples and scars in turbulent free-surface flowsTurbulence beneath a free surface leaves characteristic long-lived signatures on the surface, such as upwelling 'boils', near-circular 'dimples' and elongated 'scars', easily…Jørgen R. Aarnes, Omer Babiker, Anqing Xuan et al.·Sep 9, 2024SaveLearn
Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulenceModels for solving the Reynolds-averaged Navier-Stokes equations are popular tools for predicting complex turbulent flows due to their computational affordability and ability to provide or estimate…Ty Homan, Omkar B. Shende, Ali Mani·Sep 8, 2024SaveLearn
Inverse cascade in zonal flowsZonal winds on Jovian planets play an important role in governing the cloud dynamics, transport of momentum, scalars, and weather patterns. Therefore, it is crucial to understand the evolution of the…Siddhant Mishra, Anikesh Pal·Sep 8, 2024SaveLearn
Lattice Boltzmann Model for Transonic FlowsThe hydrodynamic limit of a discrete kinetic equation is intrinsically connected with the symmetry of the lattices used in construction of a discrete velocity model. On mixed lattices composed of…M. Atif, N. H. Maruthi, P. K. Kolluru et al.·Sep 8, 2024SaveLearn
Particle resuspension from complex multilayer deposits by laminar flows: statistical analysis and modelingParticle resuspension refers to the physical process by which solid particles deposited on a surface are, first, detached and, then, entrained away by the action of a fluid flow. In this study, we…Hao Liu, Mireille Bossy, Bernhard Vowinckel et al.·Sep 8, 2024SaveLearn
Air jet impact craters on granular surfaces: a universal scalingCraters form as the lander's exhaust interacts with the planetary surfaces. Understanding this phenomenon is imperative to ensure safe landings. We investigate crater morphology, where a turbulent…Prasad Sonar, Hiroaki Katsuragi·Sep 8, 2024SaveLearn
Flamelet Connection to Turbulence Kinetic Energy Dissipation RateThe turbulence kinetic energy dissipation rate ε, from a turbulent combustion computation using either Reynolds-averaged Navier-Stokes (RANS) or large-eddy simulation (LES), is proposed for…William A. Sirignano, Wes Hellwig, Sylvain L. Walsh·Sep 7, 2024SaveLearn
Single-snapshot machine learning for super-resolution of turbulenceModern machine-learning techniques are generally considered data-hungry. However, this may not be the case for turbulence as each of its snapshots can hold more information than a single data file in…Kai Fukami, Kunihiko Taira·Sep 7, 2024SaveLearn