Computational fluid dynamics analysis and PIV validation of a bionic vortex flow pulsatile LVAD

Xu, Liang; Yang, Ming; Ye, Lin; Dong, Zixing

doi:10.3233/thc-150981

Cited by 12 publications

(5 citation statements)

References 24 publications

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“…Additionally, the existence of riblets results in the thickening and increase in the viscous bottom layer in the boundary layers, so as to reduce the fluid resistance. In addition, the theories of the air bearing and the vortex cushion effect have also been put forward [3,4,17,[22][23][24][25][26][27][28][29].…”

Section: Fluid Resistance Reduction Technology Of Bionic Non-smooth Smentioning

confidence: 99%

Bionic optimum design of straight cone nozzle and the effectiveness evaluation of reducing fluid resistance

Wen

Chen

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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High-pressure water jet technology is a clean and effective approach to break, cut or clean solid materials. The nozzle's hydraulic performance determines the efficiency and quality of the high-pressure water jet technology implementation. The fluid resistance reduction technology of bionic non-smooth surface is applied to the structural design of the straight cone nozzle successfully. The circular groove is selected as the bionic unit. The selection results in the investigation and development of a bionic straight cone nozzle with the optimum hydraulic performance. Moreover, the separated nozzle machining method is successfully implemented. A comprehensive approach that implements the orthogonal experiment, high-pressure water jets' impact forces testing and range analysis results in the optimization of the bionic straight cone nozzle's structure. The optimal structural parameters of the nozzle as follows: the outlet diameter is 4 mm, length-to-diameter ratio is 2.5, contraction angle is 60°, the circular groove width is 3 mm, the circular groove depth is 2 mm and the circular groove number is 2. In addition, the circular grooves are uniformly arranged on the surface of the straight cone nozzle's internal chamber resulting in reduction of the fluid resistance effectively. Under the same experimental conditions, the impact forces of high-pressure water jets produced by the bionic straight cone nozzles are greater in comparison with the impact forces of high-pressure water jets produced by the ordinary straight cone nozzles. The average rate of fluid resistance reduction of bionic straight cone nozzles is up to 2.33%. Furthermore, the results of CFD numerical simulation show that the circular grooves at the contraction and the outlet sections can also reduce the high-pressure water flow resistance effectively. In the meantime, the opposite rotating vortexes in the circular grooves are the main reason for the reduction in fluid resistance of the bionic straight cone nozzle.

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Section: Fluid Resistance Reduction Technology Of Bionic Non-smooth Smentioning

confidence: 99%

Bionic optimum design of straight cone nozzle and the effectiveness evaluation of reducing fluid resistance

Wen

Chen

et al. 2019

J Braz. Soc. Mech. Sci. Eng.

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“…3D printed models offer a method to perform controlled fluid experiments for simulation validation. Such validation studies have been completed for aortic flow [43], cerebral aneurysms [50, 62], valve/leaflet interaction [74], coronary artery disease [32, 75–79], CABG [52, 80, 81] and in a left ventricular assist device (LVAD) [82]. An iterative feedback loop can be established to optimize the fluid simulations and ensure reproducible, robust, and accurate results.…”

Section: Treatment Planning and Device Designmentioning

confidence: 99%

Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease

Randles

Leopold

2017

Trends in Biotechnology

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Non-invasive engineering models are now being used for diagnosing and planning the treatment of cardiovascular disease. Techniques in computational modeling and additive manufacturing have matured concurrently, and results from simulations can inform and enable the design and optimization of therapeutic devices and treatment strategies. The emerging synergy between large-scale simulations and 3D printing is having a two-fold benefit: first, 3D printing can be used to validate the complex simulations, and second, the flow models can be used to improve treatment planning for cardiovascular disease. In this review, we summarize and discuss recent methods and findings for leveraging advances in both additive manufacturing and patient-specific computational modeling, with an emphasis on new directions in these fields and remaining open questions.

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“…The PIV directly captures the optical image of the seeding particle and estimates flow velocities based on particle displacement. Previously, complicated blood flows through biomedical devices such as left ventricular assist devices were simulated with CFD and the results were validated with experimental measurements with PIV [12,13]. Additionally, the PIV has been widely used to validate the 4D flow MRI measurement of velocity and turbulence in a stenosed phantom [9,14].…”

Section: Introductionmentioning

confidence: 99%

Comparison of Four-Dimensional Flow Magnetic Resonance Imaging and Particle Image Velocimetry to Quantify Velocity and Turbulence Parameters

Kim

Kang

Adeeb

et al. 2021

Fluids

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Although recent advances of four-dimensional (4D) flow magnetic resonance imaging (MRI) has introduced a new way to measure Reynolds stress tensor (RST) in turbulent flows, its measurement accuracy and possible bias have remained to be revealed. The purpose of this study was to compare the turbulent flow measurement of 4D flow MRI and particle image velocimetry (PIV) in terms of velocity and turbulence quantification. Two difference flow rates of 10 and 20 L/min through a 50% stenosis were measured with both PIV and 4D flow MRI. Not only velocity through the stenosis but also the turbulence parameters such as turbulence kinetic energy and turbulence production were quantitatively compared. Results shows that 4D flow MRI velocity measurement well agreed with the that of PIV, showing the linear regression slopes of two methods are 0.94 and 0.89, respectively. Although turbulence mapping of 4D flow MRI was qualitatively agreed with that of PIV, the quantitative comparison shows that the 4D flow MRI overestimates RST showing the linear regression slopes of 1.44 and 1.66, respectively. In this study, we demonstrate that the 4D flow MRI visualize and quantify not only flow velocity and also turbulence tensor. However, further optimization of 4D flow MRI for better accuracy might be remained.

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Computational fluid dynamics analysis and PIV validation of a bionic vortex flow pulsatile LVAD

Cited by 12 publications

References 24 publications

Bionic optimum design of straight cone nozzle and the effectiveness evaluation of reducing fluid resistance

Bionic optimum design of straight cone nozzle and the effectiveness evaluation of reducing fluid resistance

Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease

Comparison of Four-Dimensional Flow Magnetic Resonance Imaging and Particle Image Velocimetry to Quantify Velocity and Turbulence Parameters

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