Digital Particle Image Velocimetry

By M. Wernet. 2003

813 citations recorded by the source corpus.

Subfields: Computational Mechanics, Ecology, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/272702d933d1eb6b3a0f69e81970612f634f40ba

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Citations in the corpus

Assessment and application of quantitative schlieren methods: Calibrated color schlieren and background oriented schlieren (2004, methodology): “Diffraction limited imaging alleviates the problem of pixel locking in the case where the random pattern of black and white squares is used (Westerweel 1993).”
The velocity field under breaking waves: coherent structures and turbulence (2002, methodology): “The basic image processing for the DPIV used software developed by Willert (1992) and Willert & Gharib (1991) which uses local (window) correlation techniques on image pairs to generate the velocity eld.”
Starting flow through nozzles with temporally variable exit diameter (2005, methodology): “Quantitative flow visualization Kinematics of the flow field are measured using digital particle-image velocimetry (DPIV, cf. Adrian 1991; Willert & Gharib 1991).”
Sub-pixel precision image matching for measuring surface displacements on mass movements using normalized cross-correlation (2011, methodology): “The resolution pyramids are thus not the same as the Gaussian or Laplacian image pyramids often used in multi-scale image analysis or in image visualisation.”
High resolution traction force microscopy based on experimental and computational advances. (2008, methodology): “In a first step, either of the images is partitioned into large windows ( 4–10 mm(2)) and a standard PIV routine (29) is used to determine the deformation of the gel on a coarse scale.”
Shallow and deep dynamic stall for flapping low Reynolds number airfoils (2009, methodology): “Vorticity was calculated by explicit differentiation of cubic spline fits to the velocity field [as discussed by Willert and Gharib (1991), and implemented by Jeon (2000)].”
Two-way interaction between solid particles and homogeneous air turbulence: particle settling rate and turbulence modification measurements (2005, methodology): “The present DPIV system, which is very similar to that developed by Willert & Gharib (1991), uses the double-frame/single-exposure recording technique with crosscorrelation analysis based on the fast Fourier transform (FFT).”
Intracardiac fluid forces are an essential epigenetic factor for embryonic cardiogenesis (2003, methodology): “To characterize more precisely the intracardiac flow and fluid forces, we used high-speed cine imaging at 440–1,000 frames s -1 and digital particle image velocimetry (DPIV”
Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (2016, methodology): “When full measurements are available, as with the use of particle image velocimetry (PIV) [277, 127] to measure fluid velocity fields in experiments, these measurements are typically only available in controlled experimental settings, and are not practical for in-field applications such as monitorin”
Digital particle image velocimetry (DPIV) robust phase correlation (2009, methodology): “Over the past 20 years [2], many efforts have been directed toward the refinement of the basic digital algorithms developed by Willert and Gharib [3].”
Evolution of the streamwise vortices generated between leading edge tubercles (2016, methodology): “The random and bias uncertainties in particle displacement were calculated with reference to Willert & Gharib (1991), Fouras & Soria (1998), Hassan, Lau & Kelso (2007), Raffel, Willert & Kompenhans (2007) and Lau (2010).”