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Experimental Approach to Visualize Flow in a Stacked Hollow Fiber Bundle of an Artificial Lung With Particle Image Velocimetry

机译:用粒子图像速度堆叠人工肺堆叠中空纤维束中流动的实验方法

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Flow distribution is key in artificial lungs, as it directly influences gas exchange performance as well as clot forming and blood damaging potential. The current state of computational fluid dynamics (CFD) in artificial lungs can only give insight on a macroscopic level due to model simplification applied to the fiber bundle. Based on our recent work on wound fiber bundles, we applied particle image velocimetry (PIV) to the model of an artificial lung prototype intended for neonatal use to visualize flow distribution in a stacked fiber bundle configuration to (i) evaluate the feasibility of PIV for artificial lungs, (ii) validate CFD in the fiber bundle of artificial lungs, and (iii) give a suggestion how to incorporate microscopic aspects into mainly macroscopic CFD studies. To this end, we built a fully transparent model of an artificial lung prototype. To increase spatial resolution, we scaled up the model by a factor of 5.8 compared with the original size. Similitude theory was applied to ensure comparability of the flow distribution between the device of original size and the scaled-up model. We focused our flow investigation on an area (20 x 70 x 43 mm) in a corner of the model with a Stereo-PIV setup. PIV data was compared to CFD data of the original sized artificial lung. From experimental PIV data, we were able to show local flow acceleration and declaration in the fiber bundle and meandering flow around individual fibers, which is not possible using state-of-the-art macroscopic CFD simulations. Our findings are applicable to clinically used artificial lungs with a similar stacked fiber arrangement (e.g., Novalung iLa and Maquet QUADROX-I). With respect to some limitations, we found PIV to be a feasible experimental flow visualization technique to investigate blood-sided flow in the stacked fiber arrangement of artificial lungs.
机译:流动分布是人造肺部的关键,因为它直接影响气体交换性能以及凝块形成和血液损坏潜力。人造肺中的计算流体动力学(CFD)的当前状态只能在施加到纤维束上的模型简化引起的宏观水平上。基于我们最近的伤口纤维捆绑的工作,我们将粒子图像Velocimetry(PIV)应用于用于新生儿用途的人工肺原型模型,以便在堆叠的光纤束配置中可视化流量分布到(i)评估PIV的可行性人工肺,(ii)验证人工肺纤维束中的CFD,(iii)提出了如何将微观方面纳入主要宏观的CFD研究。为此,我们建立了一个完全透明的人工肺原型模型。为了增加空间分辨率,我们将模型缩放为5.8的尺寸与原始尺寸相比。应用类似理论,以确保原始尺寸和缩放模型的装置之间的流量分布的可比性。我们将我们的流动调查聚焦在模型的角落(20 x 70 x 43 mm)的区域(20 x 70 x 43 mm),立体声PIV设置。将PIV数据与原始大小的人工肺的CFD数据进行比较。从实验性PIV数据中,我们能够在纤维束和各个纤维周围的纤维束和蜿蜒流动的局部流量加速和声明,这是不可能使用最先进的宏观CFD仿真。我们的研究结果适用于临床使用的人工肺,具有类似的堆叠纤维布置(例如,Novalung Ila和Maquet Quadrox-i)。关于一些限制,我们发现PIV是一种可行的实验流动可视化技术,用于研究人造肺的堆叠纤维布置中的血面流动。

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