Design and Optimization of Adaptive Liquid Crystal Devices using Computational Multiphysics

使用计算多物理场设计和优化自适应液晶器件

• 批准号: RGPIN-2018-04120
• 负责人: Abukhdeir, Nasser
• 金额: $ 2.04万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=712748
• 关键词: Design; Optimization; Adaptive; Liquid; Crystal

Liquid crystals (LCs) are phases of matter that exhibit properties in between those of liquids and crystalline solids, such as anisotropic material properties (directional-dependence) and fluidity (flow). These properties make them suitable for a broad range of adaptive technologies. While the most familiar application LCs are liquid crystal displays (LCDs), over the past few decades a staggering array of new applications of LCs have been developed in the areas of high-performance materials, bio-sensing, and adaptive optics. These advances have resulted from significant efforts of LC researchers to better understand the effects of design and operating conditions on LC material properties and device performance. The design of LC-based technology is a challenging engineering design task, and requires approaches that address the multiphysics inherent in LCs: the complex couplings of mass, momentum, energy, and charge transport. Simulation-based research has played a vital enabling role in past advances in LC device design; a key example of this is in the advancement of LCD technology over the past decade. However, most of this past research has focused on simplified simulation methods which are not able to capture the effects of real-world conditions (temperature variation, spatially-varying fields, ionic impurities, etc.). Within this context, the long-term goal of this research program is to develop simulation methods that capture LC multiphysics and apply them to the design and optimization of relevant next-generation adaptive LC technology. Continuum mechanics-based models will be used in conjunction with advanced numerical and high-performance computing methods in order to perform simulations of dynamic LC multiphysics processes. A multiphysics LC model will be developed which will account for conservation of linear momentum (flow), angular momentum (LC reorientation), energy (sensible and latent heat), mass (presence of impurities), charge (electrostatics), and phase transition. Using this model and simulation method, simulation-based design studies will be performed, focusing on adaptive optical lenses in order to predict design parameters and operating conditions that have optimal performance characteristics (reduced field threshold and optical distortions). The proposed research program will guide experimental research and development in the area of adaptive LC lens technology, which will result in significant technological advances in application areas ranging from mobile robotics to ophthalmic diagnostic equipment. Additionally, the training of highly-qualified personnel (HQP) will result in the addition to Canada's workforce of experts in the application of computational multiphysics to advanced manufacturing design areas such as computational fluid dynamics and heat transfer analysis.

液晶（LCS）是物质的阶段，在液体和晶体固体之间具有特性，例如各向异性材料特性（方向依赖性）和流动性（流动）。这些特性使其适合多种自适应技术。虽然最熟悉的应用LC是液晶显示器（LCD），但在过去的几十年中，在高性能材料，生物传感和自适应光学方面已经开发了一系列新型LCS的新应用。这些进步是由于LC研究人员的重大努力而造成的，以更好地了解设计和操作条件对LC材料属性和设备性能的影响。 基于LC的技术的设计是一项具有挑战性的工程设计任务，需要解决LCS固有的多物理学的方法：质量，动量，能量，能量和充电运输的复杂耦合。基于仿真的研究在LC设备设计中的过去进展中起着至关重要的作用。一个关键的例子是在过去十年中LCD技术的发展。但是，过去的大部分研究都集中在简化的模拟方法上，这些方法无法捕获现实世界中的效果（温度变化，空间变化的磁场，离子杂质等）。在这种情况下，该研究计划的长期目标是开发捕获LC多物理学的模拟方法，并将其应用于相关下一代自适应LC技术的设计和优化。 基于连续力学的模型将与高级数值和高性能计算方法结合使用，以执行动态LC多物理过程的模拟。将开发一个多物理学LC模型，该模型将说明线性动量（流动动量），角动量（LC重新定位），能量（明智和潜热），质量（存在杂质），电荷（电静电）和相变。使用此模型和仿真方法，将进行基于仿真的设计研究，重点关注自适应光学镜头，以预测具有最佳性能特征的设计参数和操作条件（降低场阈值和光学变形）。拟议的研究计划将指导自适应LC镜头技术领域的实验研究和开发，这将在从移动机器人技术到眼科诊断设备等应用领域的技术进步中取得重大进步。此外，对高度合格人员（HQP）的培训将导致加拿大在将计算多物理学应用于高级制造设计领域（例如计算流体动力学和传热分析）中的专家劳动力。