Particle tracking velocimetry (PTV) is one of the latest and most powerful flow visualization techniques, using numerous cameras to track flow tracers in two or three dimensions. This book provides a review of both experimental and computational aspects of PTV for academic and industrial researchers and engineers.
Author(s): Dana Dabiri, Charles Pecora
Publisher: IOP Publishing
Year: 2019
Language: English
Pages: 210
City: Bristol
PRELIMS.pdf
Author biographies
Dana Dabiri
Charles Pecora
CH001.pdf
Chapter 1 Introduction
References
CH002.pdf
Chapter 2 Experimental set-up
2.1 Tracer particles
2.1.1 Tracers in liquid flows
2.1.2 Tracers in subsonic gas flows
2.1.3 Tracers in supersonic flows
2.2 Illumination
2.3 Area/volume illumination optics
2.4 Camera
References
CH003.pdf
Chapter 3 Particle image identification
3.1 Non-overlapped particles
3.1.1 Threshold binarization
3.1.2 Centroid estimation
3.1.3 Gaussian estimation
3.2 Overlapped particles
3.2.1 Threshold binarization
3.2.2 Neural network particle identification
3.2.3 Particle mask correlation
3.2.4 Optical flow feature extraction
3.2.5 Linear model inversion
3.3 Particle identification comparison
3.3.1 Non-overlapped particle identification comparison
3.3.2 Overlapped particle identification comparison
References
CH004.pdf
Chapter 4 Identification of particles’ spatial locations
4.1 Spatial location in 2D
4.2 Spatial localization in 3D
4.2.1 Photogrammetric PTV
4.2.2 Tomographic PTV
4.2.3 Synthetic aperture PTV
4.2.4 Plenoptic imaging
4.2.5 Holographic PTV
4.3 Optical distortions and calibration in PTV systems
4.3.1 2D calibration
4.3.2 Stereoscopic calibration
4.3.3 3D calibration
References
CH005.pdf
Chapter 5 Particle tracking techniques
5.1 Multi-frame approach
5.2 Cross correlation
5.3 Relaxation methods
5.4 Neural networks
5.5 Velocity gradient tensor
5.6 Polar-coordinate similarity
5.7 Optimization methods
5.7.1 Deterministic annealing
5.7.2 Variational approach
5.7.3 Genetic algorithms
5.7.4 Ant colony optimization
5.7.5 Fuzzy logic PTV
5.8 Delaunay tessellation methods
5.9 Voronoi diagram methods
5.10 Vision-based PTV
5.11 Statistical approach
5.12 Outlier detection
References
CH006.pdf
Chapter 6 Combined tracking and localization for 3D PTV
6.1 Shake-the-box
References
CH007.pdf
Chapter 7 3D-PTV comparison
References
CH008.pdf
Chapter 8 Post-processing
8.1 Interpolation
8.2 Pressure calculation
References
CH009.pdf
Chapter 9 Conclusions
References
