Modelling of Peristaltic Pumps with Respect to Viscoelastic Tube Material Properties and Fatigue Effects

IF 1.8 Q3 MECHANICS
Fluids Pub Date : 2023-09-19 DOI:10.3390/fluids8090254
Marco Hostettler, Raphael Grüter, Simon Stingelin, Flavio De Lorenzi, Rudolf M. Fuechslin, Cyrill Jacomet, Stephan Koll, Dirk Wilhelm, Gernot K. Boiger
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引用次数: 0

Abstract

Peristaltic pump technology is widely used wherever relatively low, highly accurately dosed volumetric flow rates are required and where fluid contamination must be excluded. Thus, typical fields of application include food, pharmaceuticals, medical technology, and analytics. In certain cases, when applied in conjunction with polymer-based tubing material, supplied peristaltic flow rates are reported to be significantly lower than the expected set flow rates. Said flow rate reductions are related to (i) the chosen tube material, (ii) tube material fatigue effects, and (iii) the applied pump frequency. This work presents a fast, dynamic, multiphysics, 1D peristaltic pump solver, which is demonstrated to capture all qualitatively relevant effects in terms of peristaltic flow rate reduction within linear peristaltic pumps. The numerical solver encompasses laminar fluid dynamics, geometric restrictions provided by peristaltic pump operation, as well as viscoelastic tube material properties and tube material fatigue effects. A variety of validation experiments were conducted within this work. The experiments point to the high degree of quantitative accuracy of the novel software and qualify it as the basis for elaborating an a priori drive correction.
基于粘弹性管材料特性和疲劳效应的蠕动泵建模
蠕动泵技术广泛应用于需要相对较低,高度精确的剂量体积流量和必须排除流体污染的地方。因此,典型的应用领域包括食品、制药、医疗技术和分析。在某些情况下,当与聚合物基油管材料结合使用时,提供的蠕动流速据报道明显低于预期的设定流速。所述流量降低与(i)所选择的管道材料,(ii)管道材料疲劳效应,以及(iii)所应用的泵频率有关。这项工作提出了一个快速、动态、多物理场、一维蠕动泵求解器,它被证明可以捕获线性蠕动泵内蠕动流量降低方面的所有定性相关效应。数值求解包括层流动力学、蠕动泵运行提供的几何限制、粘弹性管材料特性和管材料疲劳效应。在这项工作中进行了各种验证实验。实验表明,新软件具有高度的定量准确性,并将其作为阐述先验驱动校正的基础。
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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来源期刊
Fluids
Fluids Engineering-Mechanical Engineering
CiteScore
3.40
自引率
10.50%
发文量
326
审稿时长
12 weeks
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