Wall-PIV as a near wall flow validation tool for CFD: Application in a pathologic vessel enlargement (aneurysm)

Flow visualization of a near wall flow is of great importance in the field of biofluid mechanics in general and for studies of pathologic vessel enlargements (aneurysms) particularly. Wall shear stress (WSS) is one of the important hemodynamic parameters implicated in aneurysm growth and rupture. The WSS distributions in anatomically realistic vessel models are normally investigated by computational fluid dynamics (CFD). However, the results of CFD flow studies should be validated. The recently proposed Wall-PIV method was first applied in an enlarged transparent model of a cerebri anterior artery terminal aneurysm made of silicon rubber. This new method, called Wall-PIV, allows the investigation of a flow adjacent to transparent surfaces with two finite radii of curvature (vaulted walls). Using an optical method which allows the observation of particles up to a predefined depth enables the visualization solely of the boundary layer flow. This is accomplished by adding a specific molecular dye to the fluid which absorbs the monochromatic light used to illuminate the region of observation. The results of the Wall-PIV flow visualization were qualitatively compared with the results of the CFD flow simulation under steady flow conditions. The CFD study was performed using the program FLUENT®. The results of the CFD simulation were visualized using the line integral convolution (LIC) method with a visualization tool from AMIRA®. The comparison found a very good agreement between experimental and numerical results.

[1]  K Affeld,et al.  Particle image velocimetry of a flow at a vaulted wall , 2008, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[2]  Bernd Jähne,et al.  Direct Estimation of the Wall Shear Rate Using Parametric Motion Models in 3D , 2006, DAGM-Symposium.

[3]  Gen Sobue,et al.  Contrast-enhanced 2D cine phase MR angiography for measurement of basilar artery blood flow in posterior circulation ischemia. , 2002, AJNR. American journal of neuroradiology.

[4]  P. Scheel,et al.  Color duplex measurement of cerebral blood flow volume in healthy adults. , 2000, Stroke.

[5]  S. Alper,et al.  Hemodynamic shear stress and its role in atherosclerosis. , 1999, JAMA.

[6]  Masami Suzuki,et al.  Flow on blades of wells turbine for wave power generation , 2006, J. Vis..

[7]  E. Michaelides Hydrodynamic Force and Heat/Mass Transfer From Particles, Bubbles, and Drops—The Freeman Scholar Lecture , 2003 .

[8]  K Affeld,et al.  Mathematical Model of Platelet Deposition under Flow Conditions , 2004, The International journal of artificial organs.

[9]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[10]  R. Adrian Particle-Imaging Techniques for Experimental Fluid Mechanics , 1991 .

[11]  Sheng S. Tan,et al.  A novel particle displacement measurement method using optical diffraction , 2002 .

[12]  C. R. Ethier,et al.  Requirements for mesh resolution in 3D computational hemodynamics. , 2001, Journal of biomechanical engineering.

[13]  Bernd Jähne,et al.  A high-performance system for 3-dimensional particle tracking velocimetry in turbulent flow research using image sequences , 1995 .

[14]  Nitzan Resnick,et al.  Hemodynamic forces as a stimulus for arteriogenesis. , 2003, Endothelium : journal of endothelial cell research.

[15]  W. Schievink,et al.  Controlled pressure-volume factors in the enlargement of intracranial aneurysms. , 1989, Neurosurgery.

[16]  Hans-Christian Hege,et al.  Fast and resolution independent line integral convolution , 1995, SIGGRAPH.

[17]  T. Griffith Endothelial control of vascular tone by nitric oxide and gap junctions: a haemodynamic perspective. , 2002, Biorheology.

[18]  Ulrich Kertzscher,et al.  Visualization of a wall shear flow , 2005, J. Vis..

[19]  Richard D. Keane,et al.  Optimization of particle image velocimeters. I, Double pulsed systems , 1990 .