Affiliations: Mechanical Engineering Department, École
Polytechnique de Montréal, P.O. Box 6079 Station Centre ville,
Montréal (Québec), CANADA, H3C 3A7. E-mail:
Marie-Isabelle.Farinas@polymtl.ca
Abstract: Computational fluid dynamics is extensively used in the design
methodology of medical devices. However, for such applications, the predictive
capabilities of CFD codes are highly dependent upon geometry, which most of the
time is extremely complex, and flow conditions. The study concerns a
ventricular assist device (VAD) where the exit flow, generated through a
diffuser, is of particular importance for blood damage predictions. The
difficulty to predict the flow lies in the fact that the Reynolds number range
includes the transition Reynolds number of the separated diffuser flow as well
as the critical Reynolds number of pipe flows. In order to choose the
appropriate CFD methodology in terms of flow hypothesis and turbulence model,
an experimental setup of the diffuser was built to run PIV velocity
measurements and to analyze the flow pattern with the influence of Reynolds
number. The flow is described with mean and variance values of the in-plane
velocity components and timeresolved results are used to visualize the
development of unsteady phenomena introduced in the diffuser separated region.
An optimal filter is also used to remove noise in measured velocity vector
fields.
Keywords: Diffuser flow, Axisymmetric constriction, Time-resolved PIV, Wiener filter