2007
DOI: 10.1097/mat.0b013e31815581ea
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Numerical Design and Experimental Hydraulic Testing of an Axial Flow Ventricular Assist Device for Infants and Children

Abstract: Mechanical circulatory support options for infants and children are very limited in the United States. Existing circulatory support systems have proven successful for short-term pediatric assist, but are not completely successful as a bridge-to-transplant or bridge-to-recovery. To address this substantial need for alternative pediatric mechanical assist, we are developing a novel, magnetically levitated, axial flow pediatric ventricular assist device (PVAD) intended for longer-term ventricular support. Three m… Show more

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Cited by 36 publications
(55 citation statements)
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“…This group has previous experience in the design of impellers for ventricular assist devices 28 and has applied that knowledge-base to develop a new category of intravascular blood pumps for mechanical cavopulmonary assist. The basis of the pump design in this study originated, in part, from this prior work.…”
Section: Impeller Geometry and Configurationmentioning
confidence: 99%
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“…This group has previous experience in the design of impellers for ventricular assist devices 28 and has applied that knowledge-base to develop a new category of intravascular blood pumps for mechanical cavopulmonary assist. The basis of the pump design in this study originated, in part, from this prior work.…”
Section: Impeller Geometry and Configurationmentioning
confidence: 99%
“…The k-e turbulence model has been used for several years in the evaluation of our prior pump designs with experimental validation. 28 Thus, this turbulence model was employed for this study as well.…”
Section: Numerical Analysismentioning
confidence: 99%
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“…15 This approach, as described in Throckmorton et al, 15 involves the determination of nondimensional pressure and flow coefficients. The coefficients for each hydraulic data point were calculated and graphed to create a scatter plot.…”
Section: Performance Comparison Using Regressionmentioning
confidence: 99%