A moving mesh method for modelling defects in nematic liquid crystals

Craig S. MacDonald, John A. Mackenzie, Alison Ramage
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引用次数: 5

Abstract

The properties of liquid crystals can be modelled using an order parameter which describes the variability of the local orientation of rod-like molecules. Defects in the director field can arise due to external factors such as applied electric or magnetic fields, or the constraining geometry of the cell containing the liquid crystal material. Understanding the formation and dynamics of defects is important in the design and control of liquid crystal devices, and poses significant challenges for numerical modelling. In this paper we consider the numerical solution of a Q-tensor model of a nematic liquid crystal, where defects arise through rapid changes in the Q-tensor over a very small physical region in relation to the dimensions of the liquid crystal device. The efficient solution of the resulting six coupled partial differential equations is achieved using a finite element based adaptive moving mesh approach, where an unstructured triangular mesh is adapted towards high activity regions, including those around defects. Spatial convergence studies are presented using a stationary defect as a model test case, and the adaptive method is shown to be optimally convergent using quadratic triangular finite elements. The full effectiveness of the method is then demonstrated using a challenging two-dimensional dynamic Pi-cell problem involving the creation, movement, and annihilation of defects.

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一种模拟向列相液晶缺陷的移动网格方法
液晶的性质可以使用描述杆状分子局部取向变化的有序参数来建模。指向矢场中的缺陷可能由于外部因素而出现,例如施加的电场或磁场,或者包含液晶材料的单元的约束几何形状。了解缺陷的形成和动力学在液晶器件的设计和控制中很重要,并对数值建模提出了重大挑战。在本文中,我们考虑向列型液晶的Q张量模型的数值解,其中缺陷是通过Q张量在相对于液晶器件尺寸非常小的物理区域上的快速变化而产生的。使用基于有限元的自适应移动网格方法实现了所得六个耦合偏微分方程的有效解,其中非结构化三角形网格适用于高活动区域,包括缺陷周围的区域。以一个平稳缺陷为模型测试实例进行了空间收敛性研究,并用二次三角有限元证明了自适应方法的最优收敛性。然后,使用一个具有挑战性的二维动态Pi细胞问题来证明该方法的全部有效性,该问题涉及缺陷的产生、移动和消除。
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来源期刊
Journal of Computational Physics: X
Journal of Computational Physics: X Physics and Astronomy-Physics and Astronomy (miscellaneous)
CiteScore
6.10
自引率
0.00%
发文量
7
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