[HTML][HTML] Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty

J Ling, J Templeton - Physics of Fluids, 2015 - pubs.aip.org
Reynolds Averaged Navier Stokes (RANS) models are widely used in industry to predict
fluid flows, despite their acknowledged deficiencies. Not only do RANS models often …

Large eddy simulation of film cooling: A review

J Ahn - Energies, 2022 - mdpi.com
Film cooling has dramatically contributed to the performance improvement of gas turbines,
as it is a very effective cooling technique for gas turbines. Large eddy simulation (LES) …

Buoyant jets in cross-flows: review, developments, and applications

M Taherian, A Mohammadian - Journal of Marine Science and …, 2021 - mdpi.com
Significant environmental effects from the use of marine outfall discharges have led to
increased efforts by both regulatory bodies and research groups to minimize the negative …

A machine learning approach for determining the turbulent diffusivity in film cooling flows

PM Milani, J Ling… - Journal of …, 2018 - asmedigitalcollection.asme.org
In film cooling flows, it is important to know the temperature distribution resulting from the
interaction between a hot main flow and a cooler jet. However, current Reynolds-averaged …

Interpretable deep learning for prediction of Prandtl number effect in turbulent heat transfer

H Kim, J Kim, C Lee - Journal of Fluid Mechanics, 2023 - cambridge.org
We propose an interpretable deep learning (DL) model that extracts physical features from
turbulence data. Based on a conditional generative adversarial network combined with a …

Effects of preferential concentration on heat transfer in particle-based solar receivers

H Pouransari, A Mani - Journal of Solar Energy …, 2017 - asmedigitalcollection.asme.org
The working principle of particle-based solar receivers is to utilize the absorptivity of a
dispersed particle phase in an otherwise optically transparent carrier fluid. In comparison to …

Uncertainty analysis and data-driven model advances for a jet-in-crossflow

J Ling, A Ruiz, G Lacaze… - Journal of …, 2017 - asmedigitalcollection.asme.org
For film cooling of combustor linings and turbine blades, it is critical to be able to accurately
model jets-in-crossflow. Current Reynolds-averaged Navier–Stokes (RANS) models often …

Data-driven scalar-flux model development with application to jet in cross flow

J Weatheritt, Y Zhao, RD Sandberg, S Mizukami… - International Journal of …, 2020 - Elsevier
The classical gradient-diffusion hypothesis has known deficiencies when applied to cooling
applications. In this paper, the gene-expression programming (GEP) method, a machine …

Numerical parametric study of paravalvular leak following a transcatheter aortic valve deployment into a patient-specific aortic root

W Mao, Q Wang, S Kodali… - Journal of …, 2018 - asmedigitalcollection.asme.org
Paravalvular leak (PVL) is a relatively frequent complication after transcatheter aortic valve
replacement (TAVR) with increased mortality. Currently, there is no effective method to pre …

On the flow structure of an inclined jet in crossflow at low velocity ratios

C Dai, L Jia, J Zhang, Z Shu, J Mi - International Journal of Heat and Fluid …, 2016 - Elsevier
This study investigates the influence of different low velocity ratios on the flow structures of
an inclined jet in crossflow (JICF). Experiments are conducted in a closed-loop water tunnel …