Blood flow and oxygen transfer rate of an outside blood flow membrane oxygenator

Matsuda, Noriaki; Sakai, Kiyotaka

doi:10.1016/s0376-7388(00)00331-8

Cited by 35 publications

(27 citation statements)

References 6 publications

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“…The quantitative study of the effect of hollow fiber bundle structure/ packing on mass transfer and device-induced blood trauma remains challenging because blood flow in the hollow fiber bundle is complicated and difficult to measure [5]. Generally, empirical design and in vitro testing are adopted to evaluate the overall performance of oxygenators and hemodialyzers [6][7][8], which could not provide flow details and mass transport processes inside the hollow fiber bundle for relating the device design to its performance and clinical complications.…”

Section: Introductionmentioning

confidence: 99%

Computational Study of the Blood Flow in Three Types of 3D Hollow Fiber Membrane Bundles

Zhang¹,

Xiao-bing²,

Ding³

et al. 2013

Journal of Biomechanical Engineering

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The goal of this study is to develop a computational fluid dynamics (CFD) modeling approach to better estimate the blood flow dynamics in the bundles of the hollow fiber membrane based medical devices (i.e., blood oxygenators, artificial lungs, and hemodialyzers). Three representative types of arrays, square, diagonal, and random with the porosity value of 0.55, were studied. In addition, a 3D array with the same porosity was studied. The flow fields between the individual fibers in these arrays at selected Reynolds numbers (Re) were simulated with CFD modeling. Hemolysis is not significant in the fiber bundles but the platelet activation may be essential. For each type of array, the average wall shear stress is linearly proportional to the Re. For the same Re but different arrays, the average wall shear stress also exhibits a linear dependency on the pressure difference across arrays, while Darcy's law prescribes a power-law relationship, therefore, underestimating the shear stress level. For the same Re, the average wall shear stress of the diagonal array is approximately 3.1, 1.8, and 2.0 times larger than that of the square, random, and 3D arrays, respectively. A coefficient C is suggested to correlate the CFD predicted data with the analytical solution, and C is 1.16, 1.51, and 2.05 for the square, random, and diagonal arrays in this paper, respectively. It is worth noting that C is strongly dependent on the array geometrical properties, whereas it is weakly dependent on the flow field. Additionally, the 3D fiber bundle simulation results show that the threedimensional effect is not negligible. Specifically, velocity and shear stress distribution can vary significantly along the fiber axial direction.

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Section: Introductionmentioning

confidence: 99%

Computational Study of the Blood Flow in Three Types of 3D Hollow Fiber Membrane Bundles

Zhang¹,

Xiao-bing²,

Ding³

et al. 2013

Journal of Biomechanical Engineering

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“…Matsuda and Sakai (12) investigated the effects of the number of tied hollow fibers on the oxygen transfer rate. They showed that reducing the number of tied fiber membranes, that leads to increasing the void fraction of the blood oxygenator, enhances the oxygen transfer rate.…”

mentioning

confidence: 99%

Uniformity of the Fluid Flow Velocities Within Hollow Fiber Membranes of Blood Oxygenation Devices

Mazaheri¹,

Ahmadi²

2005

Artificial Organs

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A finite volume-based computational model was developed to investigate the uniformity of the fluid flow across the hollow fiber membranes in blood oxygenation devices. A two-dimensional annular cross section of a blood oxygenation device including about 3,300 hollow fiber membranes was used in the computation model. The equations governing the steady incompressible laminar flow in the blood oxygenation device were solved numerically and the results were compared with those obtained from the equivalent porous medium approximation. For the porous medium approximation, the Ergun equation was used for evaluating the permeability. The simulation results showed that the fluid molecules spend about six times longer in the fiber bundle region than that in its equivalent porous medium approximation model. The computational model also provides a more detailed fluid flow pattern in the membrane compartment of the blood oxygenator.

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“…1-3 is most conveniently expressed as 37,43

K = \frac{Sh D_{l}}{d_{e}},

where Sh is the dimensionless Sherwood number; D l is the diffusion coefficient of the dissolved solute; and d e is the equivalent diameter of the flow path, defined by 42,44

d_{e} = \frac{ε}{1 - ε} d_{0} .

In Eq. 5, ε is the void fraction of the gas-exchange module, which is defined as the ratio of the module empty volume, V l , to the total volume of the module, V tot ; and d 0 is the outside diameter of the hollow fibers.…”

Section: Theoretical Modelmentioning

confidence: 99%

Continuously Infusing Hyperpolarized ¹²⁹Xe into Flowing Aqueous Solutions Using Hydrophobic Gas Exchange Membranes

et al. 2009

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Hyperpolarized (HP) 129 Xe yields high signal intensities in magnetic resonance (MR) and, through its large chemical shift range of ∼300 ppm, provides detailed information about the local chemical environment. To exploit these properties in aqueous solutions and living tissues requires the development of methods for efficiently dissolving HP 129 Xe over an extended time period. To this end, we have used commercially available gas exchange modules to continuously infuse concentrated HP 129 Xe into flowing liquids, including rat whole blood, for periods as long as one hour, and have demonstrated the feasibility of dissolved-phase MR imaging with sub-millimeter resolution within minutes. These modules, which exchange gases using hydrophobic microporous polymer membranes, are compatible with a variety of liquids and are suitable for infusing HP 129 Xe into the bloodstream in vivo. Additionally, we have developed a detailed mathematical model of the infused HP 129 Xe signal dynamics that should be useful in designing improved infusion systems that yield even higher dissolved HP 129 Xe signal intensities.

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Blood flow and oxygen transfer rate of an outside blood flow membrane oxygenator

Cited by 35 publications

References 6 publications

Computational Study of the Blood Flow in Three Types of 3D Hollow Fiber Membrane Bundles

Computational Study of the Blood Flow in Three Types of 3D Hollow Fiber Membrane Bundles

Uniformity of the Fluid Flow Velocities Within Hollow Fiber Membranes of Blood Oxygenation Devices

Continuously Infusing Hyperpolarized ¹²⁹Xe into Flowing Aqueous Solutions Using Hydrophobic Gas Exchange Membranes

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Blood flow and oxygen transfer rate of an outside blood flow membrane oxygenator

Cited by 35 publications

References 6 publications

Computational Study of the Blood Flow in Three Types of 3D Hollow Fiber Membrane Bundles

Computational Study of the Blood Flow in Three Types of 3D Hollow Fiber Membrane Bundles

Uniformity of the Fluid Flow Velocities Within Hollow Fiber Membranes of Blood Oxygenation Devices

Continuously Infusing Hyperpolarized 129Xe into Flowing Aqueous Solutions Using Hydrophobic Gas Exchange Membranes

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Product

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Continuously Infusing Hyperpolarized ¹²⁹Xe into Flowing Aqueous Solutions Using Hydrophobic Gas Exchange Membranes