Christoph Drobek*, Robert Mau, Hermann Seitz

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Transkript:

Christoph Drobek*, Robert Mau, Hermann Seitz Tomographic Particle Image Velocimetry of a water-jet for low volume harvesting of fat tissue for regenerative medicine BMT 2015, Lübeck, 16.09.2015 Water-assisted liposuction (WAL) WAL: injection of saline+lidocaine+adrenaline through cannula, reflected over baffle simultaneous aspiration of the fat tissue (fat and stem cells) very gentle project goal: development of a new WAL device with even gentler aspiration of smaller amounts of fat tissue aspirated fat and stem cells stay vital to be used in regenerative medicine 2

Comparing CFD simulations and experimental methods Motivation: Velocity field measurement using PIV Goal: Identification of the velocity profile (3D3C) during infiltration calculation of momentum and force available: Micro-Stereo-PIV (LaVision) for the project: extension/conversion to Tomographic PIV 4

Working principle of Tomographic PIV similar to Stereo-PIV, min. 2 cameras, typical 3-4 cameras Volume reconstruction from camera images correlation of both reconstructed volumes Figure: Working principle of PIV [LaVision] Figure: Working principle of tomographic PIV [Raffel et al.: Particle Image Velocimetry] 5 Setup I: Tomo-PIV system (LaVision, Göttingen) double-pulse laser Nd:YAG, 532nm frequency: 20Hz pulse energy: 50mJ illumination volume divergent thickness: 20mm double-frame cameras 3x Imager scmos 25fps @ 5,5MPixel Scheimpflug mounts 6

Setup II: pump, cannula Human Med WAL devices: injection uses a disposable piston pump volume flow transient piston pump keeps seeding particles Establishment of method: constant volume flow desirable Use of low pressure syringe pump Cetoni NEMESYS 290N (max. 50ml/min) + flaser only 20 Hz (only 4-5 images during injection) + no trigger for PIV system necessary + easier to compare to CFD simulations Further setup: 25ml syringe (borosilicate glass), up to 7 bar Swagelock fittings, da=3mm-silicone hose to nozzle Biofill-applikator d=3,5mm; transparent water basin 7 Measurements volume flow 50ml/min time between pulses dt=5ms seeding: 10µm glass hollow spheres Laser power 40% aperture illumination volume nozzle illuminated water-jet attentuator 4,0 / 10 transparent water basin 8

Results: Tomo-PIV 50ml/min (raw images) 9 Results: Tomo-PIV 50ml/min (raw images) 10

Results: Tomo-PIV 50ml/min (image preprocessing) 11 Results: Tomo-PIV 50ml/min (image preprocessing) 12

Results: Tomo-PIV 50ml/min isosurfaces of velocity Image series of 200 double images Image Preprocessing, Fast MART Reconstruction, Direct Correlation Left: single image Right: average of 200 images isosurfaces of velocity: 0,06 m/s (cyan) 0,09 m/s (yellow) 0,12 m/s (magenta) 0,18 m/s (red) Geometry: Biofill-Applicator 13 Results: CFD simulation 50ml/min Mesh 1,2 Mio. cells (tet, prism) Models transient solver single phase flow, RANS (SST) Injection of water into water Boundary conditions inlet: v= 1,65 m/s (=50ml/min) outlet: p=0bar Simulation: PRESTO, 1st/2nd order momentum Time step size 10^-5s (max. 20it/ts) Geometry: Biofill-Applicator 14

CFD simulation & PIV measurement @ 50ml/min isosurfaces v=0,06 m/s (cyan) and v=0,18m/s (red) Left: PIV (average of 200 images), right: CFD after 2000 time steps 15 Summary neither single PIV images nor average over 200 images match CFD simulation results spray in PIV measurements thinner than spray in CFD simulation less momentum transferred from spray to surrounding water probably Tomo-PIV calibration too imprecise (0,01px needed) maybe time between pulses (dt) too low or too high since spray is transient: resolution of big eddies in simulation using LES instead of RANS 16

Outlook simulation of injection of water into air (using VOF model + Level Set) to compare with available force sensor results PIV measurements using Human Med standard piston pump PIV seeding downstream of pump calculation of volume using convex hull CFD simulations using volume flow profile of piston pump as inlet boundary condition 17 Thank you for your attention! Co-operation Partner: Funding: With financial resources of the Human Med AG, Schwerin Ministerium für Wirtschaft, European Regional Development Fund Bau und Tourismus (ERDF/EFRE) Mecklenburg-Vorpommern Dipl.-Ing. Christoph Drobek Universität Rostock Fluid Technology and Microfluidics Justus-von-Liebig-Weg 6, 18059 Rostock christoph.drobek@uni-rostock.de 18