43 citations · 85 across the 7 of their papers we have counts for
7 papers
Analysis and simulations of droplet generation regimes in a coaxial microfluidic device
Alessio Innocenti, Andrea Poggi, Simone Camarri +1
The generation of microdroplets via segmentation in microfluidic devices is of interest in many applications, from biochemical to pharmaceutical. This technique permits indeed much…
Direct Numerical Simulation of bubble-induced turbulence at high Reynolds numbers
Alessio Innocenti, Alice Jaccod, Stéphane Popinet +1
We report on a investigation of turbulent bubbly flows. Bubbles of a size larger than the dissipative scale, cannot be treated as point-wise inclusions, and generate important hydr…
Weak formulation and scaling properties of energy fluxes in 3D numerical turbulent Rayleigh-Bénard convection
Valori Valentina, Innocenti Alessio, Dubrulle Bérengère +1
We apply the weak formalism on the Boussinesq equations, to characterize scaling properties of the mean and the standard deviation of the potential, kinetic and viscous energy flux…
Lagrangian stochastic modeling of acceleration in turbulent wall-bounded flows
Alessio Innocenti, Nicolas Mordant, Nick Stelzenmuller +1
The Lagrangian approach is natural to study issues of turbulent dispersion and mixing. We propose in this work a general Lagrangian stochastic model including velocity and accelera…
A Lagrangian probability-density-function model for collisional turbulent fluid-particle flows. II. Application to homogeneous flows
Alessio Innocenti, Rodney O Fox, Maria Vittoria Salvetti +1
The Lagrangian probability-density-function model, proposed in Part I for dense particle-laden turbulent flows, is validated here against Eulerian-Lagrangian direct numerical simul…
A Lagrangian probability-density-function model for collisional turbulent fluid-particle flows. I. Model derivation
Alessio Innocenti, Rodney O Fox, Sergio Chibbaro
Inertial particles in turbulent flows are characterised by preferential concentration and segregation and, at sufficient mass loading, dense particle clusters may spontaneously ari…
Lagrangian filtered density function for LES-based stochastic modelling of turbulent dispersed flows
Alessio Innocenti, Cristian Marchioli, Sergio Chibbaro
The Eulerian-Lagrangian approach based on Large-Eddy Simulation (LES) is one of the most promising and viable numerical tools to study turbulent dispersed flows when the computatio…