Title page for ETD etd-07152002-202802


Type of Document Master's Thesis
Author Abiven, Claude
Author's Email Address cabiven@imel.org
URN etd-07152002-202802
Title A Hybrid Dynamically Adaptive, Super-Spatio Temporal Resolution Digital Particle Image Velocimetry for Multi-Phase Flows
Degree Master of Science
Department Engineering Science and Mechanics
Advisory Committee
Advisor Name Title
Telionis, Demetri P. Committee Chair
Vlachos, Pavlos P. Committee Co-Chair
Ragab, Saad A. Committee Member
Keywords
  • Neural networks
  • High resolution
  • Digital Particle Image Velocimetry
  • Digital Particle Tracking Velocimetry
  • High speed
Date of Defense 2002-07-02
Availability unrestricted
Abstract
A unique, super spatio-temporal resolution Digital Particle Image Velocimetry (DPIV) system with capability of resolving velocities in a multi-phase flow field, using a very sophisticated novel Dynamically Adaptive Hybrid velocity evaluation algorithm has been developed The unique methodology of this powerful system is presented, its specific distinctions are enlightened, confirming its flexibility, and its superior performance is established by comparing it to the most established best DPIV software implementations currently available. Taking advantage of the most recent advances in imaging technology coupled with state of the art image processing tools, high-performing validation schemes including neural networks, as well as a hybrid digital particle tracking velocimeter (DPTV), the foundation for a unique system was developed. The presented software enables one to effectively resolve tremendously demanding flow-fields. The resolution of challenging test cases including high speed cavitating underwater projectiles as well as high pressure spray demonstrate the power of the developed device.
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