Experimental study on transient flow patterns in simplified saccular intracranial aneurysm models using particle image velocimetry

Shen, Feng; Lu, Xinfang; Yan, Ping; Liu, Zhaomiao

doi:10.1007/s10409-022-22162-x

Cited by 3 publications

(2 citation statements)

References 64 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With double illuminated particle image velocimetry imaging of the flying droplets, it enables to optical characterization of the droplet speed along the flying trajectory [231]. With a rationalized equation of the energy loss from the viscous flow near the orifice, surface tension, and air friction during flying, it is possible to predict a maximum efficiency of ∼90% in theory with an optimized jet size and Weber number [74].…”

Section: Performance Of Energy Conversionmentioning

confidence: 99%

Energy harvesting from water streaming at charged surface

Xu,

Yan,

Xie

2023

Electrophoresis

View full text Add to dashboard Cite

Water flowing at a charged surface may produce electricity, known as streaming current/potentials, which may be traced back to the 19th century. However, due to the low gained power and efficiencies, the energy conversion from streaming current was far from usable. The emergence of micro/nanofluidic technology and nanomaterials significantly increases the power (density) and energy conversion efficiency. In this review, we conclude the fundamentals and recent progress in electrical double layers at the charged surface. We estimate the generated power by hydrodynamic energy dissipation in multi‐scaling flows considering the viscous systems with slipping boundary and inertia systems. Then, we review the coupling of volume flow and current flow by the Onsager relation, as well as the figure of merits and efficiency. We summarize the state‐of‐the‐art of electrokinetic energy conversions, including critical performance metrics such as efficiencies, power densities, and generated voltages in various systems. We discuss the advantages and possible constraints by the figure of merits, including single‐phase flow and flying droplets.

show abstract

Section: Performance Of Energy Conversionmentioning

confidence: 99%

Energy harvesting from water streaming at charged surface

Xu,

Yan,

Xie

2023

Electrophoresis

View full text Add to dashboard Cite

show abstract

“…A new ex-vivo system called Human-Cardiovascular-System-Phantom (HCSP) was proposed to simulate pulsatile hemodynamic in the abdominal aortic aneurysm (AAA) before and after stent–graft placement (Polanczyk et al 2018 ). The particle image velocimetry (PIV) was used to measure the transient flow patterns in simplified saccular intracranial aneurysm models and the influence of the aspect ratio on the evolution of flow patterns and hemodynamics in intracranial aneurysms was revealed (Shen et al 2022 ). Yeh et al ( 2019 ) performed a simulation analysis of the hemodynamics of the bileaflet mechanical heart valve and valve mechanics, and used the particle image velocimetry (PIV) technology to conduct an experiment on an in vitro bench model by a ViVitro pulse replicator.…”

Section: Introductionmentioning

confidence: 99%

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

Zhu

Liang

et al. 2023

Biomech Model Mechanobiol

View full text Add to dashboard Cite

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.

show abstract