Key result
Computational fluid dynamics (CFD) demonstrated a high level of agreement with experimental particle image velocimetry (PIV) data for evaluating positive displacement LVAD performance.
CFD modeling accurately reproduces in vitro flow dynamics of a positive displacement LVAD, providing a validated tool for evaluating blood pump performance.
CFD-PIV agreement supports computational LVAD modeling; leaves open clinical translation without further validation.
Computational fluid dynamics (CFD) is used to asses the hydrodynamic performance of a positive displacement left ventricular assist device. The computational model uses implicit large eddy simulation direct resolution of the chamber compression and modeled valve closure to reproduce the in vitro results. The computations are validated through comparisons with experimental particle image velocimetry (PIV) data. Qualitative comparisons of flow patterns, velocity fields, and wall-shear rates demonstrate a high level of agreement between the computations and experiments. Quantitatively, the PIV and CFD show similar probed velocity histories, closely matching jet velocities and comparable wall-strain rates. Overall, it has been shown that CFD can provide detailed flow field and wall-strain rate data, which is important in evaluating blood pump performance.
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Medvitz et al. (2009) studied Left ventricular assist device (LVAD) analysis. Computational fluid dynamics (CFD) methodology vs. Experimental particle image velocimetry (PIV) data was evaluated on Hydrodynamic performance (flow patterns, velocity fields, and wall-shear rates). Computational fluid dynamics (CFD) demonstrated a high level of agreement with experimental particle image velocimetry (PIV) data for evaluating positive displacement LVAD performance.
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