Publications

Publications

Journal of Computational Physics • 2021
A novel momentum-conserving, mass-momentum consistent method for interfacial flows involving large density contrasts
S. Pal, D. Fuster, S. Zaleski
Proposed a novel Volume-of-Fluid method that ensures discrete consistency between mass and momentum transport on staggered uniform Cartesian grids. Extended conservative direction-split time integration of geometric fluxes to 3D. Demonstrated stability and robustness on a complex turbulent interfacial flow configuration involving a falling raindrop in air.
Physics of Fluids • 2024
Statistics of drops generated from ensembles of randomly corrugated ligaments
S. Pal, C. Pairetti, M. Crialesi-Esposito, D. Fuster, S. Zaleski
Performed large-ensemble numerical simulations of individual ligaments with random initial surface corrugations to study the statistics of drop formation. Revealed three stable drop sizes generated via two distinct stages of breakup. Tested Log-Normal, Gaussian, Gamma, and Poisson distributions, establishing a reproducible framework for investigating polydispersity in fluid fragmentation.
Computers and Fluids • 2021
A mass-momentum consistent, Volume-of-Fluid method for incompressible flow on staggered grids
T. Arrufat, M. Crialesi-Esposito, D. Fuster, Y. Ling, L. Malan, S. Pal, R. Scardovelli, G. Tryggvason, S. Zaleski
Developed a consistent discretization of the Navier-Stokes equations that advects mass and momentum at the same speed as the volume-fraction discontinuity. Tested for droplets in uniform flow, the Kelvin-Helmholtz instability, a falling raindrop, and atomizing flow in air-water conditions.
Computer Physics Communications • 2021
PArallel, Robust, Interface Simulator (PARIS)
W. Aniszewski, T. Arrufat, M. Crialesi-Esposito, S. Dabiri, D. Fuster, Y. Ling, J. Lu, L. Malan, S. Pal, R. Scardovelli, G. Tryggvason
Co-developed a massively parallel computational fluid dynamics code for simulating multiphase flows. The solver scales up to 64,000 cores using a hybrid combination of MPI, OpenMP, and GPU (CUDA) parallelization.