AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (1.7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

3D simulation of pulsatile bubbly flow resembling decompression sickness conditions inside a realistic human artery

Sotiris P. Evgenidis( )Thodoris D. Karapantsios
Chemical and Environmental Technology Lab, Department of Chemical Technology and Industrial Chemistry, School of Chemistry, Aristotle University of Thessaloniki, Thessaloniki GR-54124, Greece
Show Author Information

Graphical Abstract

Abstract

I-VED (In-Vivo Embolic Detector) is a novel diagnostic tool for non-invasive, real-time detection of bubbles in humans. Bubbles are precursors of decompression sickness (DCS), which can be encountered in astronauts, scuba divers, etc. I-VED exploits an EU patented electrical impedance spectroscopy technology, developed under the umbrella of a European Space Agency project. So far, I-VED has been calibrated and validated in vitro. In view of the forthcoming in-vivo trials, it needs to be configured for sensing bubbles in the bloodstream. For this, 3D computational fluid dynamics simulation is performed to investigate axial and radial variation of void fraction (α) and flow velocity (U) in a pulsatile bubbly flow inside a realistic human artery (diameter: 5–20 mm, implying vessel dilatation or contraction), where liquid velocity, bubble size, and void fraction resemble DCS conditions. Results show that U and α show a core-peaking profile despite the variation of artery diameter, while 3D sharp turns yield U and α non-uniformities in the angular direction that do not affect mean void fraction across the artery. Obtained knowledge allows deeper insight on the physics and spatial characteristics of bubbly flow in a real artery, which is useful in the design of measuring volume and tuning of I-VED.

References

 
Aroom, K. R., Harting, M. T., Cox, C. S., Radharkrishnan, R. S., Smith, C., Gill, B. S. 2009. Bioimpedance analysis: A guide to simple design and implementation. Journal of Surgical Research, 153: 2330.
 
Berthier, B., Bouzerar, R., Legallais, C. 2002. Blood flow patterns in an anatomically realistic coronary vessel: Influence of three different reconstruction methods. Journal of Biomechanics, 35: 13471356.
 
Brandt, A. H., Olesen, J. B., Moshavegh, R., Jensen, J. A., Nielsen, M. B., Hansen, K. L. 2021. Common carotid artery volume flow: A comparison study between ultrasound vector flow imaging and phase contrast magnetic resonance imaging. Neurology International, 13: 269278.
 
Chappell, M. A., Payne, S. J. 2005. A method for the automated detection of venous gas bubbles in humans using empirical mode decomposition. Annals of Biomedical Engineering, 33: 14111421.
 
Devia, F., Fossa, M. 2003. Design and optimisation of impedance probes for void fraction measurements. Flow Measurement and Instrumentation, 14: 139149.
 
Evgenidis, S. P., Karapantsios, T. D. 2015. Effect of bubble size on void fraction fluctuations in dispersed bubble flows. International Journal of Multiphase Flow, 75: 163173.
 
Evgenidis, S. P., Karapantsios, T. D. 2018a. Gas–liquid flow of sub-millimeter bubbles at low void fractions: Experimental study of bubble size distribution and void fraction. International Journal of Heat and Fluid Flow, 71: 353365.
 
Evgenidis, S. P., Karapantsios, T. D. 2018b. Gas–liquid flow of sub-millimeter bubbles at low void fractions: Void fraction prediction using drift–flux model. Experimental Thermal and Fluid Science, 98: 195205.
 
Evgenidis, S. P., Kazakis, N. A., Karapantsios, T. D. 2010. Bubbly flow characteristics during decompression sickness: Effect of surfactant and electrolyte on bubble size distribution. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 365: 4651.
 
Evgenidis, S., Karapantsios, T. 2022. Pulsatile gas–liquid flow resembling decompression sickness: Computational fluid dynamics simulation and experimental validation. International Maritime Health, 73: 189198.
 
Gkotsis, P. K., Evgenidis, S. P., Karapantsios, T. D. 2019. Influence of Newtonian and non-Newtonian fluid behaviour on void fraction and bubble size for a gas–liquid flow of sub-millimeter bubbles at low void fractions. Experimental Thermal and Fluid Science, 109: 109912.
 
Gkotsis, P. K., Evgenidis, S. P., Karapantsios, T. D. 2020. Associating void fraction signals with bubble clusters features in co-current, upward gas–liquid flow of a non-Newtonian liquid. International Journal of Multiphase Flow, 131: 103297.
 
Le, D. Q., Dayton, P. A., Tillmans, F., Freiberger, J. J., Moon, R. E., Denoble, P., Papadopoulou, V. 2021. Ultrasound in decompression research: Fundamentals, considerations, and future technologies. Undersea & Hyperbaric Medicine, 48: 5972.
 
Makowski, M. S., Sproul, C., Swartz, C., Everitt, J. I., Knaus, D. A., Wilbur, J. C., Moon, R. E. 2022. Safety evaluation of carbon tetrafluoride as an inert hyperbaric breathing gas in Sprague–Dawley rats. Toxicology and Applied Pharmacology, 444: 116023.
 
Mohammadi, M. H., Sotiropoulos, F., Brinkerhoff, J. R. 2019. Eulerian–Eulerian large eddy simulation of two-phase dilute bubbly flows. Chemical Engineering Science, 208: 115156.
 
Møllerløkken, A., Blogg, S. L., Doolette, D. J., Nishi, R. Y., Pollock, N. W. 2016. Consensus guidelines for the use of ultrasound for diving research. Diving and Hyperbaric Medicine, 46: 2632.
 
Nebuya, S., Mills, G. H., Milnes, P., Brown, B. H. 2011. Indirect measurement of lung density and air volume from electrical impedance tomography (EIT) data. Physiological Measurement, 32: 19531967.
 
Poornima, J., Vengadesan, S. 2012. Numerical simulation of bubble transport in a bifurcating microchannel: A preliminary study. Journal of Biomechanical Engineering, 134: 081005.
 
Salajeghe, R., Saidi, M. S. 2022. Investigation of the different parameters contributing to bubble sticking inside physiological bifurcations. Medical & Biological Engineering & Computing, 60: 599618.
 
Song, Q., Luo, R., Yang, X., Wang, Z. 2001. Phase distributions for upward laminar dilute bubbly flows with non-uniform bubble sizes in a vertical pipe. International Journal of Multiphase Flow, 27: 379390.
 
Vann, R. D., Butler, F. K., Mitchell, S. J., Moon, R. E. 2011. Decompression illness. Lancet, 377: 153164.
 
Woodcock, J. P. 1976. Physical properties of blood and their influence on blood-flow measurement. Reports on Progress in Physics, 39: 65127.
 
Yanagawa, Y., Takeuchi, I., Ishiyama, J. 2021. Ultrasound in the diagnosis of acute-phase decompression sickness. Radiology Case Reports, 16: 698700.
 
Ye, T., Bull, J. L. 2004. Direct numerical simulations of micro-bubble expansion in gas embolotherapy. Journal of Biomechanical Engineering, 126: 745759.
 
Zueco, J., López-González, L. M. 2016. Network model to study physiological processes of hypobaric decompression sickness: New numerical results. Acta Astronautica, 121: 256270.
Experimental and Computational Multiphase Flow
Pages 135-139
Cite this article:
Evgenidis SP, Karapantsios TD. 3D simulation of pulsatile bubbly flow resembling decompression sickness conditions inside a realistic human artery. Experimental and Computational Multiphase Flow, 2024, 6(2): 135-139. https://doi.org/10.1007/s42757-023-0173-y

450

Views

25

Downloads

2

Crossref

1

Web of Science

2

Scopus

Altmetrics

Received: 06 September 2022
Revised: 07 May 2023
Accepted: 24 July 2023
Published: 08 January 2024
© The Author(s) 2023

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Return