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.
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Dana Dabiri is Associate Professor at the William E. Boeing Department of Aeronautics & Astronautics at the University of Washington, in Seattle. He received his B.S. in Mechanical Engineering at the University of California, San Diego in 1985; his M.S. in Mechanical Engineering at the University of California, Berkeley in 1987; and his PhD in Aerospace Engineering at the University of California, San Diego in 1992. He was a Post-doc at Caltech from 1992-1993, and continued at Caltech as a research scientist until the end of 2001. In 2002, he joined the faculty at the William E. Boeing Department of Aeronautics & Astronautics as an Assistant Professor, and was promoted as an Associate Professor in 2009. His work pursues developing novel ways for quantitatively visualizing and revealing flow physics that otherwise could not be determined. At present, Professor Dabiri's research activities is focused on developing novel implementations of 2D and 3D digital particle tracking velocimetry (2DPTV & 3DPTV) , global wall shear stress measurements and global non-intrusive pressure and/or temperature measurements within flows with applications in bio-flows, aero-acoustics, heat transfer, combustion, and Computational Fluid Dynamics modelling.
Charles Pecora studied Mechanical Engineering at the University of Miami, where he was introduced to fluid dynamics during a project focused on testing and optimizing a novel vertical axis wind turbine design. After graduating in 2016, he then pursues a Master’s degree in Aeronautics and Astronautics at the University of Washington under the mentorship of Professor Dabiri, where he developed post-processing algorithms for Particle Tracking Velocimetry. Since his graduation in 2019, he became a Systems Engineer for APiJET, a small company that integrates and analyzes real-time aircraft data to improve airline operations.
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