Wall-PIV as a near wall flow validation tool for CFD: Application in a pathologic vessel enlargement (aneurysm)
- 123 Downloads
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.
KeywordsPIV Wall Shear Flow Molecular Dye LIC Visualization CFD
Unable to display preview. Download preview PDF.
- Affeld, K., Goubergrits, L., Kertzscher, U., Gadischke, J. and Reininger, A., Mathematical model of platelet deposition under flow conditions, Int J Artif Organs, 27-8 (2004), 699–708.Google Scholar
- Griffith, T.M., Endothelial control of vascular tone by nitric oxide and gap junctions: A hemodynamic perspective, Biorheology 39 (2002), 307–318.Google Scholar
- Prakash, S. and Ethier, C.R., Requirements for mesh resolution in 3-D computational hemodynamics, Journal of Biomedical Engineering 123 (2001), 26–38.Google Scholar
- Kato, T., Indo, T., Yoshida, E., Iwasaki, Y., Sone, M. and Sobue G., Contrast-Enhanced 2D Cine Phase MR Angiography for Measurement of Basilar Artery Blood Flow in Posterior Circulation Ischemia, Am. J. Neuroradiol. 23 (2002), 1346–1351.Google Scholar
- Scheel, P., Ruge, Ch., Petruch, U.R. and Schöning M., Color Duplex Measurement of Cerebral Blood Flow Volume in Healthy Adults, Stroke 31 (2000), 147–150.Google Scholar
- Jehle, M., Kertscher, U. and Jähne, B., Direct estimation of the wall shear rate using parametric motion models in 3D. In: Lecture Notes in Computer Science — Pattern Recognition, Springer, Berlin, Germany, 4174 (2006), 434–443.Google Scholar
- Netzsch, T. and Jähne, B., A high performance system for 3-dimensional particle tracking velocimetry in turbulent flow research using image sequences, Proc. of ISPRS Intercommission, Workshop ’From Pixels to Sequences’, in International Archives of Photogram and Remote Sensing 30 (1995), Part 5W1.Google Scholar
- Jehle, M., Kertscher, U. and Jähne, B., Direct estimation of the wall shear rate using parametric motion models in 3D, In: Lecture Notes in Computer Science — Pattern Recognition 4174 (2006), 434–443.Google Scholar
- Stalling, D. and Hege, H.-Ch., Fast and resolution independent line integral convolution, In: Proceedings of the 22nd annual conference on computer graphics and interactive techniques (1995), 249–256.Google Scholar