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Hemodynamic study of blood flow in the aorta during the interventional robot treatment using fluid–structure interaction.

Authors :
Zhu, Zongming
Ji, Suqiang
Liang, Liang
Wang, Hao
Xia, Haoyu
Tang, Puhua
Source :
Biomechanics & Modeling in Mechanobiology; Dec2023, Vol. 22 Issue 6, p1857-1872, 16p
Publication Year :
2023

Abstract

An interventional robot is a means for vascular diagnosis and treatment, and it can perform dredging, releasing drug and operating. Normal hemodynamic indicators are a prerequisite for the application of interventional robots. The current hemodynamic research is limited to the absence of interventional devices or interventional devices in fixed positions. Considering the coupling effect of blood, vessels and robots, based on the bi-directional fluid–structure interaction, using the computational fluid dynamics and particle image velocimetry methods, combined with the sliding and moving mesh technologies, we theoretically and experimentally study the hemodynamic indicators such as blood flow lines, blood pressure, equivalent stress, deformation and wall shear stress of blood vessels when the robot precesses, rotates or does not intervene in the pulsating blood flow. The results show that the intervention of the robot increase the blood flow rate, blood pressure, equivalent stress and deformation of the vessels by 76.4%, 55.4%, 76.5%, and 346%, respectively. The operating mode of the robot during low-speed operation has little impact on the hemodynamic indicators. Using the methyl silicone oil as the experimental fluid, the elastic silicone pipe as the experimental pipe, and the intervention robot having a bioplastic outer shell, the velocity of the fluid around the robot is measured on the developed experimental device for fluid flow field in a pulsating flow when the robot runs. The experimental results are similar to the numerical results. Our work provides an important reference for the hemodynamic study and optimization of the mobile interventional devices. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16177959
Volume :
22
Issue :
6
Database :
Complementary Index
Journal :
Biomechanics & Modeling in Mechanobiology
Publication Type :
Academic Journal
Accession number :
173274298
Full Text :
https://doi.org/10.1007/s10237-023-01737-y