Simulation of Liquid Crystal Elastomers
Simulation of Liquid Crystal Elastomers
批准号:
1016504
负责人:
Wei Zhu
金额:
$9.74万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-07-15 至 2014-06-30
中文摘要
液晶弹性体(LCE)是由具有取向有序的侧链和主链介晶棒的弱交联液晶聚合物组成的橡胶。LCE的显着特性是取向顺序和机械变形之间的耦合,这使得这些橡胶对外部刺激非常敏感,例如照明和其他应用领域,导致大而快的形状变形。在过去的十年里,人们已经获得了大量的实验和理论结果。然而,一个完整的表征LCEs仍然是难以捉摸的,特别是LCEs的动态响应。最近,研究者和他的合作者提出了一个非局部连续模型来理解微重力场的动力学。对该模型的仿真表明,所提出的模型能够成功地捕捉到从真实的实验中观察到的LCE的形状变化现象和其他一些特征。因此,该模型提供了一个坚实的基础,为进一步探索的动态LCEs。然而,由于内在的复杂性的物理过程的基础上的显着的反应LCE的,该模型的数值处理是非常具有挑战性的。在这个项目中,研究人员的重点是开发有效和可靠的数值方法来解决衍生方程源于拟议的模型上的cumulces。该项目的成功将为加强对LCE的理解提供重要工具。此外,对LCEs的动态响应的深入理解对于它们的技术应用(包括传感器、致动器、可变形自适应光学元件、微流体泵等)是至关重要的。液晶弹性体(LCEs)是软的复杂材料。LCE的显著特征是相对较小的外部影响,例如温度或光照的变化,可以导致大而快的形状变形。由于这一显着的属性,LCEs有潜力的真实的技术应用,包括传感器,致动器,可变形的自适应光学元件,微流体泵等,充分利用这些材料,研究人员和他的合作者已经提出了一个数学模型,可以成功地捕捉许多动态功能的LCEs,如形状变化的现象。然而,由于LCE的戏剧性的响应背后的物理过程的内在复杂性,所提出的模型的理论研究和模拟是非常具有挑战性的。在这个项目中,研究人员试图开发有效和可靠的数值模拟方法。该研究的成功将为提高对LCE的认识提供有力的工具,而深入的认识对于这些材料的真实的技术应用至关重要。此外,在研究中开发的方法将是有用的其他相关的复杂软物质系统的建模,因此将在计算材料科学界具有持久的价值。
英文摘要
Liquid crystal elastomers (LCEs) are rubbers that are comprised of weakly cross-linked liquid crystal polymers with orientationally ordered side-chain and main-chain mesogenic rods. The remarkable property of LCEs is the coupling between orientation order and mechanical deformation, which makes these rubbers very sensitive to external stimuli, such as illumination and other applied fields, leading to large and fast shape deformations. A great deal of the experimental and theoretical results on LCEs has been obtained during the last decade. However, a full characterization of LCEs still remains elusive, especially for the dynamic responses of LCEs. Recently, the investigator and his collaborators proposed a non-local continuum model to understand the dynamics of nematic LCEs. The simulation of the model demonstrated that the proposed model can successfully capture shape changing phenomena and some other features of LCEs that were observed from real experiments. The model thus provides a solid basis for further exploration of the dynamics of LCEs. However, due to the intrinsic complexity of the physical processes underlying the dramatic responses of LCEs, the numerical treatment of the model is very challenging. In this project, the investigator focuses on developing efficient and reliable numerical methods for solving the derived equations originating from the proposed model on nematic LCEs. The success of this project will provide an important tool to enhance the understanding of LCEs. Further, the deep understanding of the dynamic responses of LCEs is crucial to their technological applications including sensors, actuators, deformable adaptive optical elements, micro-fluidic pumps, etc.Liquid crystal elastomers (LCEs) are soft complex materials. The salient feature of LCEs is that relatively small external effects, such as changes in temperature or onset of illumination, can result in large and fast shape deformations. Due to this remarkable property, LCEs have the potential for real technological applications including sensors, actuators, deformable adaptive optical elements, micro-fluidic pumps, etc. To fully exploit these materials, the investigator and his collaborators have already proposed a mathematical model that can successfully capture many dynamic features of LCEs, such as shape changing phenomena. However, due to the intrinsic complexity of the physical processes underlying the dramatic responses of LCEs, both theoretical study and simulation of the proposed model are very challenging. In this project, the investigator seeks to develop efficient and reliable numerical methods for the simulation. The success of the research will provide a powerful tool to improve the understanding of LCEs, and the deep understanding is essential to the real technological applications of these materials. Moreover, the methods developed in the research will be useful for the modeling of other related complex soft matter systems, and will therefore have a lasting value in the computational materials science community.
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