Particle image velocimetry

By A. Prasad. 2000

2,278 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/62bb0d215738c0d42a65cac4a92f92a9a8a4a8f2

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Citations in the corpus

Fluid experimental flow estimation based on an optical-flow scheme (2006, methodology): “See for instance (Adrian 1991; Raffel et al. 2000) for an extended bibliography on the subject.”
Particle image velocimetry experiments on a macro-scale model for bacterial flagellar bundling (2004, methodology): “Raffel et al. (1998) estimated an ideal particle image diameter, for minimum uncertainties, as 1.5 pixels by using double-exposed PIV recording data.”
High-Speed Photography and Digital Optical Measurement Techniques for Geomaterials: Fundamentals and Applications (2017, methodology): “Tracer particles for PIV are required to satisfy two conditions: (1) they should be able to follow the flow streamlines without excessive slip and (2) they should efficiently scatter the illuminating laser light (Prasad 2000).”
Breaking and broadening of internal solitary waves (2000, background): “Sveen internal waves. A similar concern relates to submerged floating tunnels if there is a thermocline at their location. Such tunnels are under consideration for use as tunnels for cars at several places worldwide. Several fundamental aspects of internal waves still lack satisfactory explanation. ”
A method to construct reduced‐order parameter‐varying models (2017, methodology): “However, in CFD simulations and certain experiments including particle image velocimetry (PIV) [34], the high-dimensional states are known and the state information combined with input/output data can be used to provide a more accurate representation of the system.”
Uniform momentum zones in turbulent boundary layers (2014, methodology): “As a final note, when considering this type of analysis using p.d.f.s of velocity from PIV datasets, any pixel-locking (pixel displacements which are biased to integers, see Adrian & Westerweel 2011) should be carefully dealt with.”
Multi-frame pyramid correlation for time-resolved PIV (2012, methodology): “(4) is estimated as the peak-width of the auto-correlation function, as suggested by Adrian and Westerweel (2010).”
Numerical and experimental study of mechanisms responsible for turbulent secondary flows in boundary layer flows over spanwise heterogeneous roughness (2015, background): “As outlined in Adrian & Westerweel (2011), peak-locking uncertainties appear in experiments for which the average particle image diameter is less than 2 pixels.”
Background-oriented schlieren (BOS) techniques (2015, methodology): “Assuming paraxial recording and small deflection angles (ɛy ≈ tan ɛy), a formula for the image displacement Δy can be derived for the BOS technique (Raffel et al. 2007) with the magnification factor of the background, M = zi/ZB, the distance between the dot pattern and the density gradient, ZD, and…”
Water entry of spinning spheres (2009, positive): “The peakfitting implementation was similar to that employed in Particle Imaging Velocimetry processing algorithms (e.g. Raffel et al. 1998).”
Density model for aqueous glycerol solutions (2018, methodology): “This property can be used in measurement technologies to determine the structure of a flow field (Adrian and Westerweel 2011; Raffel et al. 2018). In biotechnology, glycerol density gradients allow to separate biological material by centrifugation (Hansen et al. 1987). Due to the various application”
PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB (2014, methodology): “If the particle displacement within an interrogation area is exposed to shear or rotation or if the images suffer from excessive motion blur, the displacement peak may have an elliptical shape [8].”
Spray measurement technology: a review (2014, background): “Particle image velocimetry (PIV) is a now-standard technique in experimental fluid mechanics [60, 61] that has been adopted for planar measurements of droplet velocity fields in sprays [1, 2, 62– 64].”
Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics (2011, methodology): “Guidelines for a proper experimental design in particular are given by Lindken et al. (2009) and Raffel et al (2007).”
Spider's attack versus cricket's escape: velocity modes determine success (2006, methodology): “PIV is a whole-flow-field technique providing instantaneous velocity vector measurements in a cross-section of a flow (Merzkirch 2001).”
Diagnostics for characterisation of plasma actuators (2015, background): “Tracer particles in the order of 1 μm in size have a lowpass frequency higher than 100 kHz [191, 192] which is well above typical actuator frequencies.”
Mixing and segregation in a bidisperse gas-solid fluidized bed: a numerical and experimental study (2004, positive): “…Particle image velocimetry (PIV), widely used in the field of experimental fluid dynamics to measure velocity profiles in gas–liquid and liquid–liquid systems using tracer particles [11,13,14], was applied to gas–solid systems to obtain the particle velocity profile in the vicinity of the bubble.”