复杂几何形状粘弹性流动高阶模拟的无网格框架

IF 2.7 2区 工程技术 Q2 MECHANICS Journal of Non-Newtonian Fluid Mechanics Pub Date : 2024-06-13 DOI:10.1016/j.jnnfm.2024.105278
J.R.C. King , S.J. Lind
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引用次数: 0

摘要

粘弹性流动的精确和稳定模拟仍然是一项重大的计算挑战,对于非微观和实际几何形状的流动更是如此。在此,我们提出了一种新的高阶无网格方法,该方法具有可变分辨率,可用于解决一系列魏森伯格数范围内的粘弹性流动问题。基于 King 等人(2020 年)的局部各向异性基函数法(LABFM),我们使用 Oldroyd B 和 PPT 模型找到了一系列二维问题的高精度粘弹性流动解决方案,包括 Kolmogorov 流动、平面 Poiseulle 流动和代表性多孔介质几何中的流动。图中显示了高达 9 阶的收敛率。为了在这种新的高阶无网格环境中使用,研究了构象张量演化的三种处理方法(直接积分、Cholesky分解和对数构象),其中对数构象在所有测试案例中都提供了持续稳定的求解,而直接积分则为更简单的单向流动提供了更高的精度。最后的测试考虑了中等魏森伯格数下多孔介质流动中的对称性破坏问题,作为未来对复杂几何结构中弹性流动不稳定性进行全三维高保真模拟研究的前奏。本文的研究结果表明了粘弹性流动求解器的潜力,这种求解器既具有高阶性(精度),又具有无网格性(可直接离散非三维几何结构,包括可变分辨率)。在短期内,将这种方法扩展到三维求解,有望对一系列粘弹性流动问题,特别是在实际环境中理解弹性不稳定性这一基本挑战,产生重要的启示。
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A mesh-free framework for high-order simulations of viscoelastic flows in complex geometries

The accurate and stable simulation of viscoelastic flows remains a significant computational challenge, exacerbated for flows in non-trivial and practical geometries. Here we present a new high-order meshless approach with variable resolution for the solution of viscoelastic flows across a range of Weissenberg numbers. Based on the Local Anisotropic Basis Function Method (LABFM) of King et al. (2020), highly accurate viscoelastic flow solutions are found using Oldroyd B and PPT models for a range of two dimensional problems — including Kolmogorov flow, planar Poiseulle flow, and flow in a representative porous media geometry. Convergence rates up to 9th order are shown. Three treatments for the conformation tensor evolution are investigated for use in this new high-order meshless context (direct integration, Cholesky decomposition, and log-conformation), with log-conformation providing consistently stable solutions across test cases, and direct integration yielding better accuracy for simpler unidirectional flows. The final test considers symmetry breaking in the porous media flow at moderate Weissenberg number, as a precursor to a future study of fully 3D high-fidelity simulations of elastic flow instabilities in complex geometries. The results herein demonstrate the potential of a viscoelastic flow solver that is both high-order (for accuracy) and meshless (for straightforward discretisation of non-trivial geometries including variable resolution). In the near-term, extension of this approach to three dimensional solutions promises to yield important insights into a range of viscoelastic flow problems, and especially the fundamental challenge of understanding elastic instabilities in practical settings.

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来源期刊
CiteScore
5.00
自引率
19.40%
发文量
109
审稿时长
61 days
期刊介绍: The Journal of Non-Newtonian Fluid Mechanics publishes research on flowing soft matter systems. Submissions in all areas of flowing complex fluids are welcomed, including polymer melts and solutions, suspensions, colloids, surfactant solutions, biological fluids, gels, liquid crystals and granular materials. Flow problems relevant to microfluidics, lab-on-a-chip, nanofluidics, biological flows, geophysical flows, industrial processes and other applications are of interest. Subjects considered suitable for the journal include the following (not necessarily in order of importance): Theoretical, computational and experimental studies of naturally or technologically relevant flow problems where the non-Newtonian nature of the fluid is important in determining the character of the flow. We seek in particular studies that lend mechanistic insight into flow behavior in complex fluids or highlight flow phenomena unique to complex fluids. Examples include Instabilities, unsteady and turbulent or chaotic flow characteristics in non-Newtonian fluids, Multiphase flows involving complex fluids, Problems involving transport phenomena such as heat and mass transfer and mixing, to the extent that the non-Newtonian flow behavior is central to the transport phenomena, Novel flow situations that suggest the need for further theoretical study, Practical situations of flow that are in need of systematic theoretical and experimental research. Such issues and developments commonly arise, for example, in the polymer processing, petroleum, pharmaceutical, biomedical and consumer product industries.
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