46 citations · 69 across the 5 of their papers we have counts for
6 papers
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…
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…
Reinforcement Twinning: from digital twins to model-based reinforcement learning
Lorenzo Schena, Pedro Marques, Romain Poletti +3
Digital twins promise to revolutionize engineering by offering new avenues for optimization, control, and predictive maintenance. We propose a novel framework for simultaneously tr…
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…
Challenges and Opportunities for Machine Learning in Fluid Mechanics
M. A. Mendez, J. Dominique, M. Fiore +3
Big data and machine learning are driving comprehensive economic and social transformations and are rapidly re-shaping the toolbox and the methodologies of applied scientists. Mach…
Artificial Neural Networks Modelling of Wall Pressure Spectra Beneath Turbulent Boundary Layers
J. Dominique, J. Van den Berghe, C. Schram +1
We analyse and compare various empirical models of wall pressure spectra beneath turbulent boundary layers and propose an alternative machine learning approach using Artificial Neu…