Journal
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
Volume 96, Issue 2, Pages 125-137Publisher
WILEY
DOI: 10.1002/fld.5235
Keywords
fiber suspensions; micropolar fluid; moving particle simulations; rotational degrees of freedom
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We have developed a novel Moving Particle Simulation (MPS) method to accurately reproduce the motion of fibers in sheared liquids. By introducing the micropolar fluid model, we address the issue of fibers being aligned with the flow direction in conventional MPS simulations. Our method is capable of accurately reproducing the fiber motion predicted by Jeffery's theory.
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. We develop a novel Moving Particle Simulation (MPS) method to calculate the motion of fibers floating in sheared liquids accurately. To introduce the rotational degrees of freedom into MPS particles, we employ the micropolar fluid model. The proposed method can reproduce the periodic rotational motion of a fiber predicted by the Jeffery's theory, which cannot be captured by the conventional MPS.image
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