Particle image velocimetry (PIV) uncertainty quantification using moment of correlation (MC) plane

Bhattacharya, Sayantan; Charonko, John; Vlachos, Pavlos P.

doi:10.1088/1361-6501/aadfb4

Cited by 73 publications

(73 citation statements)

References 25 publications

(50 reference statements)

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“…As 96% confidence-level was achieved for displacement data basing on repeatability, the standard deviation of data fitting a Gaussian error distribution was obtained and it was about 2%. The equation for estimating standard uncertainty (σ u ) is [24]:…”

Section: Methodsmentioning

confidence: 99%

Droplet Rolling and Spinning in V-Shaped Hydrophobic Surfaces for Environmental Dust Mitigation

et al. 2020

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The motion of a water droplet in a hydrophobic wedge fixture was examined to assess droplet rolling and spinning for improved dust mitigation from surfaces. A wedge fixture composed of two inclined hydrophobic plates had different wetting states on surfaces. Droplet rolling and spinning velocities were analyzed and findings were compared with the experiments. A wedge fixture was designed and realized using a 3D printing facility and a high speed recording system was adopted to evaluate droplet motion in the wedge fixture. Polycarbonate sheets were used as plates in the fixture, and solution crystallization and functionalized silica particles coating were adopted separately on plate surfaces, which provided different wetting states on each plate surface while generating different droplet pinning forces on each hydrophobic plate surface. This arrangement also gave rise to the spinning of rolling droplets in the wedge fixture. Experiments were extended to include dust mitigation from inclined hydrophobic surfaces while incorporating spinning- and rolling droplet and rolling droplet-only cases. The findings revealed the wedge fixture arrangement resulted in spinning and rolling droplets and spinning velocity became almost 25% of the droplet rolling velocity, which agrees well with both predictions and experiments. Rolling and spinning droplet gave rise to parallel edges droplet paths on dusty hydrophobic surfaces while striations in droplet paths were observed for rolling droplet-only cases. Spinning and rolling droplets mitigated a relatively larger area of dust on inclined hydrophobic surfaces as compared to their counterparts corresponding to rolling droplet-only cases.

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Section: Methodsmentioning

confidence: 99%

Droplet Rolling and Spinning in V-Shaped Hydrophobic Surfaces for Environmental Dust Mitigation

et al. 2020

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“…In Table 1 the main experimental test parameters are resumed for the three reference wind velocities investigated. Detailed discussion about the significance of the parameters reported are available in literature (Bhattacharya et al 2018).…”

Section: Wind Tunnel and Piv System Setupmentioning

confidence: 99%

“…The principle of the PIV measurement can be described by the following equation (Bhattacharya et al 2018):…”

Section: Uncertainty Analysis Of the Piv Measurementsmentioning

confidence: 99%

Numerical and Experimental Investigation of the Flow over a Car Prototype for the Shell Eco Marathon

Arpino

Cortellessa

Frattolillo³

et al. 2019

JAFM

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The Eco-Marathon is a challenge organized by Shell in which student teams compete in designing energyefficient vehicles. The event spark debate about the future of mobility and inspire engineers to push the boundaries of fuel efficiency. The aim of the present work consists of the numerical and experimental investigation of the aerodynamic performance of a Shell Eco Marathon prototype designed by a group of students of the University of Cassino, Italy. The car design has been provided by means of detailed 3D CFD modelling with Comsol Multiphysics ®. The numerical tool has been validated against experiments conducted at the Laboratory of Industrial Measurements (LaMI) of the University of Cassino. In particular, a scale model of the car has been investigated in an open chamber wind tunnel by means of the Particle Image Velocimetry (PIV) technique, for different free stream velocities within the range 11-23 m/s. Measurements have been associated to a proper uncertainty analysis. The experimental data has been compared to numerical results obtained employing different turbulence models and the validated numerical tool has been applied to the simulation of the full-scale car model, allowing to analyse the wake flow structures, and estimate the overall drag coefficient.

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“…al. [33]. Each of the direct methods has a different working principle, and in the following, we briefly describe the assumptions, working principles and limitations of the direct methods.…”

Section: Introductionmentioning

confidence: 99%

“…al. [33] predicts the uncertainty by estimating the second order moment of the cross-correlation plane. The estimation process involves the calculation of the Generalized Cross Correlation (GCC) from the inverse Fourier transform of the phase of the complex cross-correlation plane [36]- [38].…”

Section: Introductionmentioning

confidence: 99%

Uncertainty quantification in density estimation from background-oriented Schlieren measurements

Rajendran¹,

Zhang

Bhattacharya

et al. 2020

Meas. Sci. Technol.

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We present an uncertainty quantification methodology for density estimation from Background Oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a-posteriori uncertainty bounds on each density measurement in the field of view. Displacement uncertainty quantification algorithms from cross-correlation based Particle Image Velocimetry (PIV) are used to estimate the uncertainty in the dot pattern displacements obtained from cross-correlation for BOS and assess their feasibility. In order to propagate the displacement uncertainty through the density integration procedure, we also develop a novel methodology via the Poisson solver using sparse linear operators. Testing the method using synthetic images of a Gaussian density field showed agreement between the propagated density uncertainties and the true uncertainty. Subsequently the methodology is experimentally demonstrated for supersonic flow over a wedge, showing that regions with sharp changes in density lead to an increase in density uncertainty throughout the field of view, even in regions without these sharp changes. The uncertainty propagation is influenced by the density integration scheme, and for the Poisson solver the density uncertainty increases monotonically on moving away from the regions where the Dirichlet boundary conditions are specified.

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Particle image velocimetry (PIV) uncertainty quantification using moment of correlation (MC) plane

Cited by 73 publications

References 25 publications

Droplet Rolling and Spinning in V-Shaped Hydrophobic Surfaces for Environmental Dust Mitigation

Droplet Rolling and Spinning in V-Shaped Hydrophobic Surfaces for Environmental Dust Mitigation

Numerical and Experimental Investigation of the Flow over a Car Prototype for the Shell Eco Marathon

Uncertainty quantification in density estimation from background-oriented Schlieren measurements

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