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physics.flu-dyn2026★ 2 cited

Statistical Analysis of Droplet Size Distributions in Liquid-Jet-in-Crossflow Atomization

Tom Johny, Bharat Bhatia, Zafar Alam +1

This study investigates the droplet size distribution (DSD) and atomization characteristics of a liquid jet injected into a crossflow (LJICF) under varied momentum flux ratios, Web…

physics.flu-dyn2026

Flame Dynamics of Air-Diluted Methanol spray Combustion in Confined Swirling Vitiated Hot Coflow

Zafar Alam, Bharat Bhatia, Ashoke De

This study employs swirling hot coflow to ensure improved fuel-air mixture and stable flame, which are essential for designing low-emission, swirl-stabilized combustors. The presen…

physics.flu-dyn2026

Experimental investigation into Lagrangian statistics of droplets in homogeneous isotropic turbulence

Lu Li, Yi-Bao Zhang, Yaning Fan +2

We experimentally investigate the Lagrangian dynamics of finite-sized, neutrally buoyant droplets in homogeneous isotropic turbulence. The droplet size follows a log-normal distrib…

physics.flu-dyn2026

On the spatial structure and intermittency of soot in a lab-scale gas turbine combustor: Insights from large-eddy simulations

Leonardo Pachano, Daniel Mira, Abhijit Kalbhor +1

This work presents a numerical investigation of soot formation in the Cambridge lab-scale gas turbine combustor. Large-eddy simulations (LES) of a swirl-stabilized ethylene flame a…

physics.flu-dyn2025

Gravity current propagating against constant and pulsating counter flows

Cem Bingol, Matias Duran-Matute, Eckart Meiburg +1

This paper describes the evolution of two-dimensional (2D) gravity currents that flow against a horizontally uniform laminar pulsating flow. We study the effect of opposing mean fl…

physics.flu-dyn2025

Dynamics of small bubbles in turbulence in non-dilute conditions

Xander M. de Wit, Hessel J. Adelerhof, André Freitas +3

Turbulent flows laden with small bubbles are ubiquitous in many natural and industrial environments. From the point of view of numerical modeling, to be able to handle a very large…

physics.flu-dyn2025★ 2 cited

Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows

Xander de Wit, Alessandro Gabbana, Michael Woodward +3

The dynamics of Lagrangian particles in turbulence play a crucial role in mixing, transport, and dispersion in complex flows. Their trajectories exhibit highly non-trivial statisti…

physics.flu-dyn2025★ 1 cited

Tracking the rotation of light magnetic particles in turbulence

Chunlai Wu, Rudie P. J. Kunnen, Ziqi Wang +3

Particle-laden turbulence involves complex interactions between the dispersed and continuous phases. Given that particles can exhibit a wide range of properties, such as varying de…

physics.flu-dyn2025★ 1 cited

Scale-by-scale kinetic energy flux calculations in simulations of rotating convection

Youri H. Lemm, Xander M. de Wit, Rudie P. J. Kunnen

Turbulence is an out-of-equilibrium flow state that is characterised by nonzero net fluxes of kinetic energy between different scales of the flow. These fluxes play a crucial role…

physics.flu-dyn2025

Vielbein Lattice Boltzmann approach for fluid flows on spherical surfaces

Victor E. Ambrus, Elisa Bellantoni, Sergiu Busuioc +2

In this paper, we develop a lattice Boltzmann scheme based on the Vielbein formalism for the study of fluid flows on spherical surfaces. The Vielbein vector field encodes all detai…

physics.flu-dyn2025

Stochastic resonance of rotating particles in turbulence

Ziqi Wang, Xander M. de Wit, Roberto Benzi +4

The chaotic dynamics of small-scale vorticity plays a key role in understanding and controlling turbulence, with direct implications for energy transfer, mixing, and coherent struc…

physics.flu-dyn2025★ 2 cited

Turbulence and large-scale structures in self-gravitating superfluids

Sanjay Shukla

We study turbulence in self-gravitating superfluids by performing direct numerical simulations of the 3D Gross-Pitaevskii-Poisson (GPP) equation, which is also a model for dark mat…

physics.flu-dyn2025

Transition to inverse cascade in turbulent rotating convection in absence of the large-scale vortex

Xander M. de Wit

Turbulent convection under strong rotation can develop an inverse cascade of kinetic energy from smaller to larger scales. In the absence of an effective dissipation mechanism at t…

physics.flu-dyn2024★ 2 cited

Analysis of soot formation in a lab-scale Rich-Quench-Lean combustor using LES with tabulated chemistry

Leonardo Pachano, Abhijit Kalbhor, Daniel Mira +1

A numerical study of the effects of air dilution on soot formation and particle dynamics in a lab-scale rich-quench-lean (RQL) combustor is presented using large-eddy simulations (…

physics.flu-dyn2024★ 1 cited

Extensions to the Navier-Stokes-Fourier Equations for Rarefied Transport: Variational Multiscale Moment Methods for the Boltzmann Equation

F. A. Baidoo, I. M. Gamba, T. J. R. Hughes +1

We derive a fourth order entropy stable extension of the Navier-Stokes-Fourier equations into the transition regime of rarefied gases. We do this through a novel reformulation of t…

physics.flu-dyn2024★ 6 cited

Odd viscosity suppresses intermittency in direct turbulent cascades

Sihan Chen, Xander M. de Wit, Michel Fruchart +2

Intermittency refers to the broken self-similarity of turbulent flows caused by anomalous spatio-temporal fluctuations. In this Letter, we ask how intermittency is affected by a no…

physics.flu-dyn2024★ 4 cited

Efficient point-based simulation of four-way coupled particles in turbulence at high number density

Xander M. de Wit, Rudie P. J. Kunnen, Herman J. H. Clercx +1

In many natural and industrial applications, turbulent flows encompass some form of dispersed particles. Although this type of multiphase turbulent flow is omnipresent, its numeric…

physics.flu-dyn2024★ 4 cited

Kinetic data-driven approach to turbulence subgrid modeling

Giulio Ortali, Alessandro Gabbana, Nicola Demo +2

Numerical simulations of turbulent flows are well known to pose extreme computational challenges due to the huge number of dynamical degrees of freedom required to correctly descri…

physics.flu-dyn2024★ 4 cited

Localization-delocalization transition for light particles in turbulence

Ziqi Wang, Xander M de Wit, Federico Toschi

Small bubbles in fluids raise to the surface due to Archimede's force. Remarkably, in turbulent flows this process is severely hindered by the presence of vortex filaments, which a…

physics.flu-dyn2024★ 14 cited

Extreme statistics and extreme events in dynamical models of turbulence

Xander M. de Wit, Giulio Ortali, Alessandro Corbetta +3

We present a study of the intermittent properties of a shell model of turbulence with unprecedented statistics, about eddy turn over time, achieved thanks to an impleme…

physics.flu-dyn2024★ 26 cited

Characterizing and visualizing the direct injection of hydrogen into high-pressure argon and nitrogen environments

Max Peters, Noud Maes, Nico Dam +1

Using argon as the working fluid in an internal combustion engine holds the potential of substantially enhancing thermal efficiency because of its high specific heat ratio. Burning…

physics.flu-dyn2023★ 11 cited

Dynamic stabilization of a hydrogen premixed flame in a narrow channel

Faizan Habib Vance, Arne Scholtissek, Philip de Goey +2

Combustion of hydrogen can help in reducing carbon-based emissions but it also poses unique challenges related to the high flame speed and Lewis number effects of the hydrogen flam…

physics.flu-dyn2023★ 4 cited

Investigating the magnitude and temporal localization of inertial particle mixing in turbulent channel flows

D. Perrone, J. G. M Kuerten, L. Ridolfi +1

Mixing of inertial point particles in a turbulent channel flow at Reτ = 950 is investigated by means of direct numerical simulations. We consider inertial particles, at varying Sto…

physics.flu-dyn2023★ 7 cited

Data-driven spectral turbulence modeling for Rayleigh-Bénard convection

Sagy Ephrati, Paolo Cifani, Bernard Geurts

A data-driven turbulence model for coarse-grained numerical simulations of two-dimensional Rayleigh-Bénard convection is proposed. The model starts from high-fidelity data and is b…