Computational Fluid Dynamics and Experimental Analysis of Blood Gas Transport in a Hollow Fiber Module

Harasek, Michael; Lukitsch, Benjamin; Ecker, Paul; Janeczek, Christoph; Elenkov, Martin; Gfoehler, Margit

doi:10.1007/978-3-030-31635-8_179

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…Due to the generic implementation of membraneFoam, every region (blood-, membrane-, and lumen-side) of the prototype module could be resolved, but preceding studies [23] showed that the main drop of CO 2 partial pressure (the driving force of transmembrane transport) is located at the blood side and the outer selective membrane layer. Hence, the porous sub-structure and the lumen of the hollow fiber membrane were neglected and not added as an additional region to the computational domain.…”

Section: Species Transport Simulations Of the Reduced Geometrymentioning

confidence: 99%

“…The multi-region solver membraneFoam was therefore utilized in a single region mode. Based on previous findings [23], the partial pressure on the gas side of the selective layer was assumed to be uniformly 0 mmHg. This reduces Eq(5) for CO 2 to:…”

Section: Species Transport Simulations Of the Reduced Geometrymentioning

confidence: 99%

“…Taskin et al [22] additionally resolved the membrane wall and simulated the oxygen transport in a small packing of an experimental oxygenator. Harasek et al [23] extended this approach and included the hollow fiber lumen to the simulation domain. Deviation of the real packing from an ideal packing states a challenge when generating computational meshes.…”

Section: Introductionmentioning

confidence: 99%

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Computation of Global and Local Mass Transfer in Hollow Fiber Membrane Modules

et al. 2020

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Computational fluid dynamics (CFD) provides a flexible tool for investigation of separation processes within membrane hollow fiber modules. By enabling a three-dimensional and time dependent description of the corresponding transport phenomena, very detailed information about mass transfer or geometrical influences can be provided. The high level of detail comes with high computational costs, especially since species transport simulations must discretize and resolve steep gradients in the concentration polarization layer at the membrane. In contrast, flow simulations are not required to resolve these gradients. Hence, there is a large gap in the scale and complexity of computationally feasible geometries when comparing flow and species transport simulations. A method, which tries to cover the mentioned gap, is presented in the present article. It allows upscaling of the findings of species transport simulations, conducted for reduced geometries, on the geometrical scales of flow simulations. Consequently, total transmembrane transport of complete modules can be numerically predicted. The upscaling method does not require any empirical correlation to incorporate geometrical characteristics but solely depends on results acquired by CFD flow simulations. In the scope of this research, the proposed method is explained, conducted, and validated. This is done by the example of CO2 removal in a prototype hollow fiber membrane oxygenator.

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Section: Species Transport Simulations Of the Reduced Geometrymentioning

confidence: 99%

Section: Species Transport Simulations Of the Reduced Geometrymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computation of Global and Local Mass Transfer in Hollow Fiber Membrane Modules

et al. 2020

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“…Since it reflects the flow resistance, blood viscosity influences the outcome of experiments. In the testing of ventricular assist devices, it determines the pressure head (Herbertson et al, 2015), and in extra corporeal membrane oxygenator (ECMO) circuits (Pantalos et al, 2012) it influences the gas exchange across the hollow fiber membranes (Harasek et al, 2019). Even in applications where blood is subject to non-physiological conditions, viscosity influences the results (Kim et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Animal blood in translational research: How to adjust animal blood viscosity to the human standard

et al. 2021

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“…They concluded that applying the power law with model coefficients for human blood underpredicts the pressure drop (approximately 12 mmHg at 800 ml/min and 20 mmHg at 1800 ml/min). However, using Newtonian viscosity of bovine blood allows an accurate prediction of the pressure loss at flow rates lower than 1800 ml/min 41 …”

Section: Introductionmentioning

confidence: 99%

In silico simulation of the liquid phase pressure drop through cylindrical hollow‐fiber membrane oxygenators using a modified phenomenological model

Tabesh

Rafiei

Mottaghy

2021

Asia-Pacific J Chem Eng

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Low blood pressure drop is an important performance characteristic of a hollow‐fiber membrane oxygenator (HFMO). While the application of natural blood corresponds to complex handling procedures, the in vitro investigation of liquid pressure drop is mainly done using water or similar fluids (e.g., normal saline solution [NSS]). In this study, a comprehensive phenomenological model has been proposed to predict the liquid pressure drop through a cylindrical HFMO, considering viscous and inertial resistances in porous media, derived from literature. The results demonstrate that approaches based on Darcy–Weisbach phenomenological equation correlate the most with in vitro experimental investigations using NSS and native porcine blood, in both pediatric and adult commercially available cylindrical HFMOs. Remarkably, this study corroborates theoretically and experimentally that approaches based on Ergun semi‐empirical equation fail to predict the liquid pressure drop in cylindrical HFMOs. Moreover, it is shown that the presented phenomenological model is also applicable to cylindrical hollow‐fiber heat exchangers, and subsequently, its noticeable effect on total liquid pressure drop through cylindrical HFMOs is demonstrated. The results reveal that this component may contribute to almost half of total blood pressure drop, and therefore, it should be redesigned using other approaches than hollow fibers.

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Computational Fluid Dynamics and Experimental Analysis of Blood Gas Transport in a Hollow Fiber Module

Cited by 4 publications

References 7 publications

Computation of Global and Local Mass Transfer in Hollow Fiber Membrane Modules

Computation of Global and Local Mass Transfer in Hollow Fiber Membrane Modules

Animal blood in translational research: How to adjust animal blood viscosity to the human standard

In silico simulation of the liquid phase pressure drop through cylindrical hollow‐fiber membrane oxygenators using a modified phenomenological model

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