A computational fluid dynamics assessment of 3D printed ventilator splitters and restrictors for differential multi-patient ventilation.

IF 3.2 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Daniel J Duke, Alexander L Clarke, Andrew L Stephens, Lee Djumas, Shaun D Gregory
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引用次数: 3

Abstract

Background: The global pandemic of novel coronavirus (SARS-CoV-2) has led to global shortages of ventilators and accessories. One solution to this problem is to split ventilators between multiple patients, which poses the difficulty of treating two patients with dissimilar ventilation needs. A proposed solution to this problem is the use of 3D-printed flow splitters and restrictors. There is little data available on the reliability of such devices and how the use of different 3D printing methods might affect their performance.

Methods: We performed flow resistance measurements on 30 different 3D-printed restrictor designs produced using a range of fused deposition modelling and stereolithography printers and materials, from consumer grade printers using polylactic acid filament to professional printers using surgical resin. We compared their performance to novel computational fluid dynamics models driven by empirical ventilator flow rate data. This indicates the ideal performance of a part that matches the computer model.

Results: The 3D-printed restrictors varied considerably between printers and materials to a sufficient degree that would make them unsafe for clinical use without individual testing. This occurs because the interior surface of the restrictor is rough and has a reduced nominal average diameter when compared to the computer model. However, we have also shown that with careful calibration it is possible to tune the end-inspiratory (tidal) volume by titrating the inspiratory time on the ventilator.

Conclusions: Computer simulations of differential multi patient ventilation indicate that the use of 3D-printed flow splitters is viable. However, in situ testing indicates that using 3D printers to produce flow restricting orifices is not recommended, as the flow resistance can deviate significantly from expected values depending on the type of printer used.

Trial registration: Not applicable.

3D打印呼吸机分流器和限制器的计算流体动力学评估。
背景:新型冠状病毒(SARS-CoV-2)全球大流行导致呼吸机及其配件在全球范围内短缺。解决这个问题的一种方法是在多名患者之间分开呼吸机,这给治疗两名通气需求不同的患者带来了困难。针对这一问题提出的解决方案是使用3d打印的分流器和节流器。关于这些设备的可靠性以及使用不同的3D打印方法可能如何影响其性能的数据很少。方法:我们对30种不同的3d打印节流器设计进行了流动阻力测量,这些设计使用了一系列熔融沉积建模和立体光刻打印机和材料,从使用聚乳酸长丝的消费级打印机到使用手术树脂的专业打印机。我们将它们的性能与由经验通风机流量数据驱动的新型计算流体动力学模型进行了比较。这表示与计算机模型相匹配的零件的理想性能。结果:3d打印的限制器在打印机和材料之间差异很大,如果没有单独测试,临床使用将不安全。这是因为节流器的内表面是粗糙的,与计算机模型相比,其公称平均直径减小了。然而,我们也表明,通过仔细校准,可以通过滴定呼吸机上的吸气时间来调节吸气末(潮汐)体积。结论:计算机模拟差异多病人通气表明,使用3d打印分流器是可行的。然而,现场测试表明,不建议使用3D打印机生产限流孔,因为根据所使用的打印机类型,流动阻力可能与期望值有很大偏差。试验注册:不适用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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