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Characterization of a diffuser flow by time-resolved PIV

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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.

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Authors and Affiliations

  1. Mechanical Engineering Department, École Polytechnique de Montréal, Station Centre ville, P.O. Box 6079, H3C 3A7, Montréal, (Québec), CANADA

    Vétel J., Farinas M. I., Garon A. & Pelletier D.

Authors
  1. Vétel J.
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  2. Farinas M. I.
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  3. Garon A.
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  4. Pelletier D.
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Additional information

Jérôme Vétel: He received his Ph. D degree in 2001 from Poitiers University (ENSMA). He is a Post-Doctoral Fellow in the Mechanical Engineering Department of école Polytechnique Montréal. His current research interests include unsteady and turbulent flow, experimental techniques (PIV and hot wire anemometry) and signal processing.

Marie-Isabelle Farinas: She received her Ph. D. degree in 2002 from école Polytechnique Montréal. She is currently a Research Scientist in the Mechanical Engineering Department of école Polytechnique Montréal. Her research interests include particle imaging velocimetry (PIV) technique, setup of experimental facilities for validation/verification, optimization and design methodology for small turbomachinery, FEM computational algorithms (mesh adaptation, free convection), control strategy for blood pumps (LVAD).

André Garon: He received his Ph. D. degree in 1987 from École Polytechnique Montréal. He is currently a Professor in Mechanical Engineering Department of École Polytechnique Montréal. His current research interests are focused on computational algorithm development and improvement, design and certification of a new left ventricular assist device (LVAD), setup of experimental facilities for validation/verification and he is also part of the ACE research team and CERCA hydraulic consortium.

Dominique Pelletier: He received his Ph. D. degree in 1984 from Virginia Polytechnic Institute & State University. He is currently a Professor in Mechanical Engineering Department of École Polytechnique Montréal. His research interests are sensitivity and uncertainty analysis of complex flows, adaptive remeshing for complex flows, error estimation for industrial FEM and CVFEM and analysis and design of industrial manufacturing process.

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Vétel, J., Farinas, M.I., Garon, A. et al. Characterization of a diffuser flow by time-resolved PIV. J Vis 9, 219–226 (2006). https://doi.org/10.1007/BF03181765

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  • DOI: https://doi.org/10.1007/BF03181765

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