NEXTFLOW at the ISPIV 2023

The NEXTFLOW team contributed 4 oral presentations at the last 15th International Symposium on Particle Image Velocimetry, held in San Diego (USA). The contributions covered several outcomes of the project, including resolution enhancement and flow estimation from sensor.

You can find the presented contributions here:

Offline optimal sensor positioning for time-resolved flow field estimation with point probes
Junwei Chen, Stefano Discetti, Raiola Marco
Jet flow feature estimation with snapshot PIV and fast probes
Luca Franceschelli, Marco Raiola, Stefano Discetti
Assessment of data-driven 3D PTV techniques
Iacopo Tirelli, Alberto Solera-Rico, Alejandro Güemes, Carlos Sanmiguel Vila, Andrea Ianiro, Stefano Discetti
A combination of KNN-PTV and physics-constrained RBFs for super-resolution in image velocimetry
Iacopo Tirelli, Miguel Alfonso Mendez, Andrea Ianiro, Stefano Discetti

It was a great opportunity to share with the PIV community our advances within NEXTFLOW!

Some effects of limited wall-sensor availability on flow estimation with 3D-GANs

In a recent publication, we showed how we can employ GANs for 3D flow reconstructions, overcoming certain limitations of planar estimators. In this work, the 3D-GAN we introduced is challenged to perform the same task with less information available. This problem...

New collaboration with DLR Institute of Propulsion Technology

The research visit of our PhD student Luca Franceschelli at DLR Institute of Propulsion Technology in Cologne consolidated the collaboration between our teams. Luca worked closely with Dr. Chris Willert, Head of the Engine Measurement Systems Department.The purpose of...

Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements

Generative adversarial networks (GANs) are among the most promising methodologies, offering more accurate estimations and better perceptual quality. But can they be employed to reconstruct an entire three-dimensional field? With 3D-GANS, a generative AI methodology,...

NEXTFLOW at the ISPIV 2023

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Some effects of limited wall-sensor availability on flow estimation with 3D-GANs

New collaboration with DLR Institute of Propulsion Technology

Three-dimensional generative adversarial networks for turbulent flow estimation from wall measurements