Validation of a CFD Methodology for Positive Displacement LVAD Analysis Using PIV Data

Abstract

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.

Experiment for validation of fluid‐structure interaction models and algorithms

“…[2][3][4][5] In biomedical engineering, fluid-structure interaction (FSI) modeling is playing an increasingly important role because of the coupling of fluid flow and tissue mechanics vital to many physical phenomena. Use of FSI models for the assessment of medical devices as well as clinical evaluation [6][7][8] is becoming increasingly common. In silico testing of devices using FSI models can help to expedite and augment preproduction development as well as assist in understanding the implications of an implant and its interaction in the human body.…”

Acquired Von Willebrand Syndrome and Blood Pump Design

“…The exposure time is on the order of a few milliseconds. Medvitz et al predicted peak wall shear stress in a 70cc blood pump of 10.5 Pa (105 dyne/cm 2 ) with strain rate of 3000/s. These values were validated through particle image velocimetry (PIV) and shown to be slightly higher than the experimental strain rate of 2100/s.…”

Validation of a non‐conforming monolithic fluid‐structure interaction method using phase‐contrast MRI

“…Clipped domains are shown in B,-G. Mesh details are given in Table 2 FIGURE 4 The graph depicts the position of the center of the solid tip, u y + Y, under static gravity loading depending on mesh resolution, where the number of elements in one coordinate direction is kept fixed and varied in the other coordinate directions counterparts on Γ C f with matching nodes. Aim of selecting a fixed but fine mesh resolution on f was to avoid dominant boundary effects while studying spatial refinement in the interior of the domain, where three different mesh refinement levels were considered (referred to as rl-1, rl-2, rl-3), see Figure 3 and Table 2.…”

“…Many industrial and engineering problems, for example, in aeronautics, 1 power generation, 2 defense, 3 and biomedical engineering, 4,5 involve complex multiphysics phenomena, such as the interaction between fluids and solids. In the field of biomedical engineering, collaborative work of researchers, modelers, physicians, medical imaging technicians, and others becomes increasingly important to ultimately provide patient-specific models [6][7][8][9] for therapy planning.…”