通过引入稀纤维悬浮液的旋转自由度,扩展移动粒子模拟

IF 1.7 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2023-09-20 DOI:10.1002/fld.5235
Keigo Enomoto, Takato Ishida, Yuya Doi, Takashi Uneyama, Yuichi Masubuchi
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引用次数: 0

摘要

我们开发了一种新颖的移动粒子模拟(MPS)方法,以精确再现纤维在剪切液体中的漂浮运动。在传统的 MPS 方案中,如果用 MPS 粒子的一维阵列来表示悬浮在液体中的纤维,由于纤维与液体界面之间缺乏剪应力差,纤维会完全对准流动方向。为了解决这个问题,我们采用微极性流体模型,为 MPS 粒子引入旋转自由度。液体和固体颗粒的平移运动以及固体颗粒的旋转都是通过显式 MPS 算法计算出来的。纤维被建模为微极流体粒子阵列,这些粒子以拉伸、弯曲和扭转势能结合在一起。模拟了单根刚性纤维在两个运动固体壁之间产生的三维剪切流中的运动。结果表明,所提出的方法能够再现杰弗里理论所预测的纤维运动,这与传统的 MPS 模拟不同。
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Extension of moving particle simulation by introducing rotational degrees of freedom for dilute fiber suspensions

We develop a novel Moving Particle Simulation (MPS) method to reproduce the motion of fibers floating in sheared liquids accurately. In conventional MPS schemes, if a fiber suspended in a liquid is represented by a one-dimensional array of MPS particles, it is entirely aligned to the flow direction due to the lack of shear stress difference between fiber–liquid interfaces. To address this problem, we employ the micropolar fluid model to introduce rotational degrees of freedom into the MPS particles. The translational motion of liquid and solid particles and the rotation of solid particles are calculated with the explicit MPS algorithm. The fiber is modeled as an array of micropolar fluid particles bonded with stretching, bending and torsional potentials. The motion of a single rigid fiber is simulated in a three-dimensional shear flow generated between two moving solid walls. We show that the proposed method is capable of reproducing the fiber motion predicted by Jeffery's theory which is different from the conventional MPS simulations.

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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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