Computational study of thermal transport in carbon nanotube based nanocomposites

碳纳米管基纳米复合材料热传输的计算研究

• 批准号: 1033919
• 负责人: Leonid Zhigilei
• 金额: $ 29万
• 依托单位: University of Virginia Main Campus
• 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
• 起止时间: 2010-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1033919&HistoricalAwards=false
• 关键词: Computational; study; thermal; transport; carbon

1033919 ZhigileiThe high thermal conductivity of carbon nanotubes (CNTs) suggests they are a promising candidate for an array of thermal management solutions. However, the measured thermal transport properties of CNT mats and films range from those characteristic of thermal insulators to effective heat conductors. The objective of this project is to develop a fundamental understanding of how the thermal properties of composite mats, films and other structures that consist of thousands of interacting CNTs depend on the structural arrangement of the CNTs. Intellectual Merit: A model will be developed to simulate the coupled thermal, structural, and mechanical effects that ultimately determine the thermal transport properties of CNT-based nanocomposites. The model will include description of tube-to-tube interactions, and atomic-level molecular dynamics simulations will be used to guide the design of a mesoscopic model. Systematic analyses will reveal the relationship between the CNT structure and thermal transport properties of the nanocomposite material. The effect of mechanical deformation of CNT-based materials on heat transfer will also be investigated and related to the changes in the structural characteristics of the materials. Broader impacts: This research may be useful in modeling other types of nanofiber and nanowire structures, as well as in computational studies of biological systems. The educational program involves student participation in various aspects of high-performance computing, incorporation of the research results into graduate and upper-undergraduate courses, and the development of an interactive web-site that will provide a non-technical description of general concepts of the linkage between heat transfer and the mechanical behavior of CNT-reinforced nanocomposite materials to a broad audience.

1033919zhigilei 碳纳米管 (CNT) 的高导热性表明它们是一系列热管理解决方案的有前途的候选者。然而，测量的碳纳米管垫和薄膜的热传输特性范围从热绝缘体到有效热导体的特性。该项目的目标是对由数千个相互作用的碳纳米管组成的复合垫、薄膜和其他结构的热性能如何取决于碳纳米管的结构排列有一个基本的了解。智力优点：将开发一个模型来模拟耦合的热、结构和机械效应，最终决定基于碳纳米管的纳米复合材料的热传输性能。该模型将包括管与管相互作用的描述，原子级分子动力学模拟将用于指导介观模型的设计。 系统分析将揭示碳纳米管结构与纳米复合材料热传输性能之间的关系。还将研究碳纳米管基材料的机械变形对传热的影响，并将其与材料结构特性的变化相关。更广泛的影响：这项研究可能有助于模拟其他类型的纳米纤维和纳米线结构，以及生物系统的计算研究。该教育计划涉及学生参与高性能计算的各个方面，将研究成果纳入研究生和本科高年级课程，以及开发一个交互式网站，该网站将提供对高性能计算的一般概念的非技术性描述。向广大受众展示了碳纳米管增强纳米复合材料的传热与机械行为之间的联系。