activity
20222025
most citedA 1D Model for the Unsteady Gas Dynamics of Ejectors

19 citations · 23 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2025

On the choking mechanism in supersonic ejectors: a one-dimensional analysis of Reynolds-Averaged Navier Stokes simulations

Jan Van den Berghe, Miguel A. Mendez, Yann Bartosiewicz

Ejectors are passive devices used in refrigeration, propulsion, and process industries to compress a secondary stream without moving parts. The engineering modeling of choking in t…

physics.flu-dyn2024

Data-driven turbulent heat flux modeling with inputs of multiple fidelity

Matilde Fiore, Enrico Saccaggi, Lilla Koloszar +2

Data-driven RANS modeling is emerging as a promising methodology to exploit the information provided by high-fidelity data. However, its widespread application is limited by challe…

physics.flu-dyn2024★ 4 cited

An extension of the compound flow theory with friction between the streams and at the wall

Jan Van den Berghe, Miguel Alfonso Mendez, Yann Bartosiewicz

Compound flows consist of two or more parallel compressible streams in a duct and their theoretical treatment has gained attention for the analysis and modelling of ejectors. Recen…

physics.flu-dyn2022★ 19 cited

A 1D Model for the Unsteady Gas Dynamics of Ejectors

Jan Van den Berghe, Bruno R. B. Dias, Yann Bartosiewicz +1

We propose a 1D unsteady model for supersonic single-phase ejectors. The model treats an ejector as a pipe network with two inputs and one output and combines a 1D gas dynamics for…

physics.flu-dyn2022

Physics-constrained machine learning for thermal turbulence modelling at low Prandtl numbers

Matilde Fiore, Lilla Koloszar, Miguel Alfonso Mendez +2

Liquid metals play a central role in new generation liquid metal cooled nuclear reactors, for which numerical investigations require the use of appropriate thermal turbulence model…