21 citations · 21 across the 2 of their papers we have counts for
3 papers
physics.flu-dyn2020
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…
physics.flu-dyn2019
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…
physics.flu-dyn2019★ 21 cited
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…