67 citations · 111 across the 6 of their papers we have counts for
5 papers · 1 filter
On correcting the eddy-viscosity models in RANS simulations for turbulent flows and scalar transport around obstacles
Zengrong Hao, Catherine Gorlé, David S. Ching +1
In RANS simulations for turbulent scalar transport, it is common that using an eddy-viscosity (EV) model to close the Reynolds stress yields reasonable mean flow predictions but la…
The discrete Green's function paradigm for two-way coupled Euler-Lagrange simulation
J. A. K. Horwitz, G. Iaccarino, J. K. Eaton +1
We outline a methodology for the simulation of particle-laden flows whereby the dispersed and fluid phases are two-way coupled. The drag force which couples fluid and particle mome…
Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling
Pedro M. Milani, Julia Ling, John K. Eaton
A cylindrical and inclined jet in crossflow is studied under two distinct velocity ratios, and , using highly resolved large eddy simulations (LES). First, an investigat…
Generalization of machine-learned turbulent heat flux models applied to film cooling flows
Pedro M. Milani, Julia Ling, John K. Eaton
The design of film cooling systems relies heavily on Reynolds-Averaged Navier-Stokes (RANS) simulations, which solve for mean quantities and model all turbulent scales. Most turbul…
Enriching MRI mean flow data of inclined jets in crossflow with Large Eddy Simulations
Pedro M. Milani, Ian E. Gunady, David S. Ching +3
Measurement techniques such as Magnetic Resonance Velocimety (MRV) and Magnetic Resonance Concentration (MRC) are useful for obtaining 3D time-averaged flow quantities in complex t…