2006
DOI: 10.1111/j.1525-1594.2006.00230.x
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Computational Fluid Dynamics and Digital Particle Image Velocimetry Study of the Flow Through an Optimized Micro‐axial Blood Pump

Abstract: A detailed knowledge of the flow field in a blood pump is indispensable in order to increase the efficiency of the pump and to reduce the shear-induced hemolysis. Thus, three different impeller designs were developed and tested by means of computational fluid dynamics (CFD) and digital particle image velocimetry (DPIV). The results show a good agreement of CFD and DPIV data. An optimization of the impeller could be achieved by following the concept of turbulent drag reduction for the axisymmetric center body.

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Cited by 28 publications
(30 citation statements)
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“…The implementations of these CFD packages are either based on the finite volume23 method or finite element method. Fluent 36, 37, 38, 39, 40, 41 and CFX 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 11, 57, 58, 59, both available from ANSYS, Inc. (Canonsburg, PA) and STAR-CD from CD-Adapco 60, 61 (Melville, New York) are the CFD software packages used most often for analysis and modelling of blood flow in VADs. In addition, AcuSolve from ACUSIM Software 62 (Mountain View, CA) and Adina from Adina R&D (Watertown, MA) are also used.…”
Section: Computational Techniquesmentioning
confidence: 99%
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“…The implementations of these CFD packages are either based on the finite volume23 method or finite element method. Fluent 36, 37, 38, 39, 40, 41 and CFX 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 11, 57, 58, 59, both available from ANSYS, Inc. (Canonsburg, PA) and STAR-CD from CD-Adapco 60, 61 (Melville, New York) are the CFD software packages used most often for analysis and modelling of blood flow in VADs. In addition, AcuSolve from ACUSIM Software 62 (Mountain View, CA) and Adina from Adina R&D (Watertown, MA) are also used.…”
Section: Computational Techniquesmentioning
confidence: 99%
“…The flow in the Impella pump was simulated using a low-Reynolds number k-ε model 61. Simulated axial velocity profiles at many axial locations, and at 0 and 90° circumferential locations, were compared with profiles measured using DPIV.…”
Section: Turbulencementioning
confidence: 99%
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“…13.11). These models have been recently validated by how much the velocity distributions calculated by CFD analysis and those actually measured coincide (Triep et al 2006), although other problems with the accuracy of the velocity measurement arise. Furthermore, validation of the pressure distribution (Burgreen et al 2001), stream path (Apel et al 2001a), and turbulence component is required.…”
Section: Solutionmentioning
confidence: 97%