Novel lattice Boltzmann method for simulation of strongly shear thinning viscoelastic fluids

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Richard Kellnberger, Tomasz Jüngst, Stephan Gekle
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引用次数: 0

Abstract

The simulation of viscoelastic liquids using the Lattice–Boltzmann method (LBM) in full three dimensions remains a formidable numerical challenge. In particular the simulation of strongly shear-thinning fluids, where the ratio between the high-shear and low-shear viscosities is large, is often prevented by stability problems. Here we present a novel approach to overcome this issue. The central idea is to artificially increase the solvent viscosity which allows the method to benefit from the very good stability properties of the LBM. To compensate for this additional viscous stress, the polymer stress is reduced by the same amount. We apply this novel method to simulate two realistic cell carrier fluids, methyl cellulose and alginate solutions, of which the latter exhibits a viscosity ratio exceeding 10,000.

Abstract Image

模拟强剪切变薄粘弹性流体的新型晶格玻尔兹曼方法
用格点-玻尔兹曼方法(LBM)模拟粘弹性液体的全三维过程仍然是一个艰巨的数值挑战。特别是强剪切变稀流体的模拟,其中高剪切粘度和低剪切粘度之比很大,经常受到稳定性问题的阻碍。在这里,我们提出了一种新的方法来克服这个问题。中心思想是人工增加溶剂粘度,这使得该方法受益于LBM非常好的稳定性。为了补偿这种额外的粘性应力,聚合物应力减少了相同的量。我们应用这种新方法模拟了两种真实的细胞载体液体甲基纤维素和海藻酸盐溶液,后者表现出超过10,000的粘度比。
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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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