16 citations · 22 across the 7 of their papers we have counts for
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physics.flu-dyn2023
Parametric 3D Convolutional Autoencoder for the Prediction of Flow Fields in a Bed Configuration of Hot Particles
Ali Mjalled, Reza Namdar, Lucas Reineking +3
The use of deep learning methods for modeling fluid flow has drawn a lot of attention in the past few years. In situations where conventional numerical approaches can be computatio…
physics.flu-dyn2021★ 16 cited
Modeling pressure pulsation and backflow in progressing cavity pumps with deformable stator
Jens Müller, Yashar Kouhi, Sebastian Leonow +1
This contribution studies the impact of the rotor-stator interaction in a single-stage progressing cavity pump on the flow rate and pressure. Specifically, we investigate the effec…