A Hybrid Dynamically Adaptive, Super-Spatio Temporal Resolution Digital Particle Image Velocimetry for Multi-Phase Flows

dc.contributor.authorAbiven, Claudeen
dc.contributor.committeechairTelionis, Demetri P.en
dc.contributor.committeecochairVlachos, Pavlos P.en
dc.contributor.committeememberRagab, Saad A.en
dc.contributor.departmentEngineering Science and Mechanicsen
dc.date.accessioned2014-03-14T20:41:28Zen
dc.date.adate2002-09-16en
dc.date.available2014-03-14T20:41:28Zen
dc.date.issued2002-07-02en
dc.date.rdate2003-09-16en
dc.date.sdate2002-07-15en
dc.description.abstractA 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.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-07152002-202802en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-07152002-202802/en
dc.identifier.urihttp://hdl.handle.net/10919/34014en
dc.publisherVirginia Techen
dc.relation.haspartClaude_Abiven_ESM_2002.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectNeural networksen
dc.subjectHigh resolutionen
dc.subjectDigital Particle Image Velocimetryen
dc.subjectDigital Particle Tracking Velocimetryen
dc.subjectHigh speeden
dc.titleA Hybrid Dynamically Adaptive, Super-Spatio Temporal Resolution Digital Particle Image Velocimetry for Multi-Phase Flowsen
dc.typeThesisen
thesis.degree.disciplineEngineering Science and Mechanicsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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