| 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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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
|
| 28.8 Modem |
56K Modem |
ISDN (64 Kb) |
ISDN (128 Kb) |
Higher-speed Access |
| |
Claude_Abiven_ESM_2002.pdf |
4.98 Mb |
00:23:04 |
00:11:52 |
00:10:23 |
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