Up to recently, there was no non-intrusive whole field experimental access to particle trajectories, velocities, velocity fluctuations and velocity derivatives in turbulent flows. With the recent development of PTV, it is possible to identify and analyze turbulent flow regions accurately and on the necessary level of detail. The flow will be first adjusted to closely mimic in-vivo flow conditions as obtained from MRI measurements. The accuracy of the MRI velocities will be assessed by comparing with PTV measurements of the same flow in the same setup. Parameters of a ‘healthy patient reference flow’ and an ‘unhealthy patient reference flow’ will be varied systematically to investigate their influence on laminar turbulent transition. Milestones of our project are: (i) Setup of in-vitro PTV experiment in an aorta replica to match in-vivo flow conditions. (ii) Understand the conditions that lead to transition in aortic flow. (iii) Quantify flow properties in regions before, during and after transition. The expected outcome has technical, engineering and fundamental aspects: The quality of MRI velocity measurements will be assessed. Detailed velocity information will produce benchmark data for computational fluid dynamics codes that are used in industry. The understanding of the flow phenomenon transition will be advanced.
To summarize, in this project, the main aim is to advance the hydrodynamic understanding of aortic flows. To achieve this, transition from laminar to turbulent flow in an elastic and transparent anatomically accurate replica of a human aorta is analyzed. The inflow conditions are taken from in-vivo magnetic resonance imaging (MRI) measurements, in order for them to be as realistic as possible. Particle Imaging Velocimetry (PIV) and 3D Particle Tracking Velocimetry (3D-PTV), two image-based non intrusive measurement techniques are applied to a pathological and healthy human aorta replicas.