<div class="csl-bib-body">
<div class="csl-entry">Oskouei, S. B., Viola, V., Jordan, C., Baumgartner, T., Aloy, A., Kölbl, R., Harasek, M., & Gföhler, M. (2026). Multi-scale particle image velocimetry for respiratory flows and comparison with numerical simulations. In <i>Proceedings on Automation in Medical Engineering [2026]</i>. 18th Interdisciplinary AUTOMED Symposium in Collaboration with the TC Medical Robotics (AUTOMED & MedRob Symposium 2026), Hannover, Germany. Infinite Science Publishing. https://doi.org/10.18416/AUTOMED.2026.2475</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/229968
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dc.description.abstract
This work presents a multi-scale experimental validation framework using macro- and micro-scale Particle Image Velocimetry (PIV). Rigid bifurcation models are fabricated using high-resolution DLP 3D printing. Flow fields are analyzed under steady and unsteady conditions, including high-frequency flow (Wo = 4.3) and low-Reynolds microflows. Comparisons of velocity profiles demonstrated agreement between experimental measurements and Computational Fluid Dynamics (CFD) results.
en
dc.description.sponsorship
FFG - Österr. Forschungsförderungs- gesellschaft mbH
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dc.language.iso
en
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
CFD
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dc.subject
PIV
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dc.subject
3D printing
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dc.subject
high-frequency flow
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dc.title
Multi-scale particle image velocimetry for respiratory flows and comparison with numerical simulations
