Advanced PIV algorithms with Image Distortion Validation and Comparison using Synthetic Images of Turbulent Flow

[1]  C. Prax,et al.  Collocated diffuse approximation method for two dimensional incompressible channel flows , 2018, 1811.06902.

[2]  Michel Stanislas,et al.  Some considerations on the accuracy and frequency response of some derivative filters applied to particle image velocimetry vector fields , 2002 .

[3]  L. Vervisch,et al.  Estimation of the accuracy of PIV treatments for turbulent flow studies by direct numerical simulation of multi-phase flow , 2001 .

[4]  V. Hamel,et al.  Finite element modeling of clinch forming with automatic remeshing , 2000 .

[5]  Fulvio Scarano,et al.  Iterative multigrid approach in PIV image processing with discrete window offset , 1999 .

[6]  L. Lourenco,et al.  On the accuracy of velocity and vorticity measurements with PIV , 1995 .

[7]  H. E. Fiedler,et al.  Limitation and improvement of PIV , 1993 .

[8]  J. J. Wang,et al.  Limitation and improvement of PIV: Part I: Limitation of conventional techniques due to deformation of particle image patterns , 1993 .

[9]  J. Westerweel,et al.  The EUROPIV Synthetic Image Generator (S.I.G.) , 2004 .

[10]  F. Scarano Iterative image deformation methods in PIV , 2002 .

[11]  J. Westerweel,et al.  Effect of Sensor Geometry on the Performance of PIV Interrogation , 2000 .

[12]  B. Lecordier Etude de l'interaction de la propagation d'une flamme prémélangée avec le champ aérodynamique, par association de la tomographie laser et de la vélocimétrie par images de particules , 1997 .

[13]  C. Willert,et al.  Digital particle image velocimetry , 1991 .

[14]  F. Durst,et al.  Applications of Laser Techniques to Fluid Mechanics , 1991 .