activity
20122026
most citedParticle image velocimetry correlation signal-to-noise ratio metrics and measurement uncertainty quantification

107 citations · 450 across the 34 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

physics.flu-dyn2019★ 49 cited

To Seal or Not To Seal

Javad Eshraghi, Sunghwan Jung, Pavlos P. Vlachos

When an object impacts the free surface of a liquid, it ejects a splash curtain upwards and creates an air cavity below the free surface. As the object descends into the liquid, th…

physics.flu-dyn2019★ 1 cited

Uncertainty-based pressure field reconstruction from PIV/PTV flow measurements with generalized least-squares

Jiacheng Zhang, Sayantan Bhattacharya, Pavlos P. Vlachos

A novel uncertainty-based pressure reconstruction method is proposed to evaluate the instantaneous pressure fields from velocity fields measured using particle image velocimetry (P…

physics.flu-dyn2019★ 46 cited

Volumetric Particle Tracking Velocimetry (PTV) Uncertainty Quantification

Sayantan Bhattacharya, Pavlos P. Vlachos

We introduce the first comprehensive approach to determine the uncertainty in volumetric Particle Tracking Velocimetry (PTV) measurements. Volumetric PTV is a state-of-the-art non-…

physics.flu-dyn2019★ 10 cited

Uncertainty amplification due to density/refractive-index gradients in volumetric PTV and BOS experiments

Lalit K. Rajendran, Sally P. M. Bane, Pavlos P. Vlachos

We theoretically analyze the effect of density/refractive-index gradients on the measurement precision of Volumetric Particle Tracking Velocimetry (V-PTV) and Background Oriented S…

physics.flu-dyn2019★ 16 cited

Two Regime Cooling in Flow Induced by a Spark Discharge

Bhavini Singh, Lalit Rajendran, Pavlos P Vlachos +1

The cooling process associated with the flow induced by a spark plasma discharge generated between a pair of electrodes is measured using stereoscopic particle image velocimetry (S…

physics.flu-dyn2019★ 35 cited

Uncertainty Quantification in density estimation from Background Oriented Schlieren (BOS) measurements

Lalit K. Rajendran, Jiacheng Zhang, Sayantan Bhattacharya +2

We present an uncertainty quantification methodology for density estimation from Background Oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a-poste…