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dc.contributor.advisorLongoria, Raul G.en
dc.creatorAdnadjevic, Djordjeen
dc.date.accessioned2010-12-23T20:19:26Zen
dc.date.accessioned2010-12-23T20:19:46Zen
dc.date.available2010-12-23T20:19:26Zen
dc.date.available2010-12-23T20:19:46Zen
dc.date.issued2010-08en
dc.date.submittedAugust 2010en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2010-08-1720en
dc.descriptiontexten
dc.description.abstractA computational model has been developed to study the effects of left ventricular assist devices (LVADs) on the cardiovascular system during a ventricular collapse. The model consists of a toroidal pulsatile blood pump and a closed loop circulatory system. Together, they predict the pump's motor current traces that reflect ventricular suck-down and provide insights into torque magnitudes that the pump experiences. In addition, the model investigates likeliness of a suction event and predicts reasonable outcomes for a few test cases. Ventricular collapse was modeled with the help of a mock circulatory loop consisting of a artificial left ventricle and centrifugal continuous flow pump. This study also investigates different suction detection schemes and proposes the most suitable suction detection algorithm for the TORVAD pump, toroidal left ventricular assist device. Model predictions were further compared against the data sampled during in vivo animal trials with the TORVAD system. The two sets of results are in good accordance.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectSuction detectionen
dc.subjectLVADen
dc.subjectLeft ventricular assist devicesen
dc.subjectPositive displacementen
dc.subjectBlood pumpen
dc.subjectModelsen
dc.subjectVentricular collapseen
dc.titleDevelopment of a suction detection system for a motorized pulsatile blood pumpen
dc.date.updated2010-12-23T20:19:46Zen
dc.contributor.committeeMemberDjurdjanovic, Draganen
dc.description.departmentMechanical Engineeringen
dc.type.genrethesisen
thesis.degree.departmentMechanical Engineeringen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Science in Engineeringen


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