A moving mesh method for modelling defects in nematic liquid crystals
MacDonald, Craig S. and MacKenzie, John A. and Ramage, Alison (2020) A moving mesh method for modelling defects in nematic liquid crystals. Journal of Computational Physics: X, 8. 100065. ISSN 2590-0552 (https://doi.org/10.1016/j.jcpx.2020.100065)
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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.
ORCID iDs
MacDonald, Craig S. ORCID: https://orcid.org/0000-0002-9996-674X, MacKenzie, John A. ORCID: https://orcid.org/0000-0003-4412-7057 and Ramage, Alison ORCID: https://orcid.org/0000-0003-4709-0691;-
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Item type: Article ID code: 72987 Dates: DateEvent30 September 2020Published17 June 2020Published Online14 June 2020Accepted2 October 2019SubmittedSubjects: Science > Mathematics Department: Faculty of Science > Mathematics and Statistics
Strategic Research Themes > Ocean, Air and Space
Strategic Research Themes > Measurement Science and Enabling TechnologiesDepositing user: Pure Administrator Date deposited: 01 Jul 2020 14:33 Last modified: 11 Nov 2024 12:28 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72987