Proceedings on Automation in Medical Engineering
Vol. 3 No. 1 (2026): Proc AUTOMED
https://doi.org/10.18416/AUTOMED.2026.2475

18th Interdisciplinary AUTOMED Symposium in Collaboration with the TC Medical Robotics, 2475

Multi-scale particle image velocimetry for respiratory flows and comparison with numerical simulations

Main Article Content

Seyedmohsen Baghaei Oskouei (1) Institute of Engineering Design and Product Development, TU Wien, Vienna, Austria 2) Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria), Veronica Viola (Institute of Engineering Design and Product Development, TU Wien, Vienna, Austria), Christian Jordan (Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria), Theresia Baumgartner (Institute of Engineering Design and Product Development, TU Wien, Vienna, Austria), Alexander Aloy (Institute of Fluid Mechanics and Heat Transfer, TU Wien, Vienna, Austria), Robert Kölbl (Carl Reiner GmbH, Vienna, Austria), Michael Harasek (Institute of Chemical, Environmental and Bioscience Engineering, TU Wien, Vienna, Austria), Margit Gföhler (Institute of Engineering Design and Product Development, TU Wien, Vienna, Austria)

Copyright (c) 2026 Proceedings on Automation in Medical Engineering

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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.

Article Details

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.