毫流体系统中磁流体的高效数值建模

IF 6.1 2区 工程技术 Q1 BIOCHEMICAL RESEARCH METHODS
Lab on a Chip Pub Date : 2024-09-18 DOI:10.1039/D4LC00595C
Johannes Soika, Tobias Wanninger, Patrick Muschak, Anja Schnell, Sebastian P. Schwaminger, Sonja Berensmeier and Markus Zimmermann
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引用次数: 0

摘要

连续流磁泳是一种主动分离流体中颗粒的常用技术。在分离系统设计中,准确预测颗粒行为有助于确定系统性能,通常以分离效率(SE)来衡量。虽然有限元法(FEM)模拟精度高,但需要大量的计算资源。另外,使用对流体流动、磁场和颗粒运动进行分析描述的简化数值模型可以更快地得出结果。在这项研究中,我们建立了一个利用磁泳分离磁性颗粒的毫流体系统模型。因此,我们(1) 开发了一个简单的数值模型,可以模拟二维和三维矩形通道的连续流磁泳;(2) 引入了一种新颖而简单的方法来计算 SE;(3) 量化了模型假设的流动剖面和尺寸对 SE 的影响。我们估算 SE 的方法考虑到了由于水流剖面造成的整个水道横截面上的颗粒通量变化。结果与 COMSOL 中开发的有限元模型进行了比较。获得的三维模拟模型计算结果只需几秒钟,比有限元方法快 180 倍左右,而与有限元结果的偏差不到 2%。对不同的二维和三维模型进行比较后发现,流动剖面和 SE 计算方法对结果的影响很大。二维模型由于峰值流速较低,一般会高估 SE 达 15%。然而,由于流动剖面和 SE 计算方法的差异重叠,使用恒定流速可使高 SE 得到良好的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Efficient numerical modelling of magnetophoresis in millifluidic systems†‡

Efficient numerical modelling of magnetophoresis in millifluidic systems†‡

Continuous flow magnetophoresis represents a common technique for actively separating particles within a fluid. For separation systems design, accurately predicting particle behaviour helps to characterise system performance, typically measured by the separation efficiency (SE). While finite element method (FEM) simulations offer high accuracy, they demand extensive computational resources. Alternatively, results can be achieved more quickly with simplified numerical models that use analytical descriptions of fluid flow, magnetic fields, and particle movement. In this research, we model a millifluidic system that separates magnetic particles using magnetophoresis. Therefore, we (1) develop a simple numerical model that can simulate continuous flow magnetophoresis for rectangular channels in two and three dimensions, (2) introduce a novel and simple approach to calculate the SE, and (3) quantify the effects of model assumptions in flow profile and dimensions on SE. Our method for estimating SE considers particle flux variation across the channel's cross-section due to the flow profile. The results are compared to an FEM model developed in COMSOL. The obtained three-dimensional simulation model computes results in seconds, around 180 times faster than the FEM approach, while deviating less than 2% from the FEM results. A comparison of the different two-dimensional and three-dimensional models underscores the significant influence of the flow profile and the SE calculation method on the result. The two dimensional models generally overestimate the SE of up to 15% due to their lower peak flow velocity. However, using a constant flow velocity leads to good agreement for high SE due to the overlap of differences in flow profile and SE calculation.

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来源期刊
Lab on a Chip
Lab on a Chip 工程技术-化学综合
CiteScore
11.10
自引率
8.20%
发文量
434
审稿时长
2.6 months
期刊介绍: Lab on a Chip is the premiere journal that publishes cutting-edge research in the field of miniaturization. By their very nature, microfluidic/nanofluidic/miniaturized systems are at the intersection of disciplines, spanning fundamental research to high-end application, which is reflected by the broad readership of the journal. Lab on a Chip publishes two types of papers on original research: full-length research papers and communications. Papers should demonstrate innovations, which can come from technical advancements or applications addressing pressing needs in globally important areas. The journal also publishes Comments, Reviews, and Perspectives.
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