Scalable Nanomanufacturing of Graphene Based Composites with Controllable Properties

具有可控性能的石墨烯基复合材料的可扩展纳米制造

• 批准号: 1463869
• 负责人: Balaji Panchapakesan
• 金额: $ 18.15万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1463869&HistoricalAwards=false
• 关键词: Scalable; Nanomanufacturing; Graphene; Based; Composites

This grant supports research supporting the development of scalable nanomanufacturing methods for graphene-based polymer nanocomposites with controllable properties. The project involves layer dependent control of graphene based nano-composite properties and their eventual scalable manufacturing with an emphasis on photomechanical actuation. Microscopic models will be developed for describing the photomechanical response of graphene/polymer composites. Experiments involving separation of graphene based on the number of layers, investigating the layer dependency of mechanical strength, percolation threshold, and electrical conductivity of graphene based composites and utilization of such controllable nanomanufacturing techniques for creation of advanced composites with high energy conversion efficiencies will be investigated. If successful, the results of this research will lead to energy efficient materials and composites based on graphene with predictable and controllable properties such as percolation threshold, electrical conductivity, mechanical strength and photomechanical actuation. Scalable nanomanufacturing of graphene composites could eventually lead to a myriad of technologies such as smart artificial skins for sensing strain and pressure and for converting solar energy into electricity, heat and mechanical motion. The proposal will make advanced contributions to the separation of graphene based on the number of layers, into using graphene layers as nuclei for enhanced polymerization and cross-linking, layer dependent photomechanical responses and rubbery elasticity of graphene composites with varying levels of percolation threshold and nanomanufacturing techniques for advanced composites and photomechanical actuators. The proposed will work will also make contributions to microscopic mathematical modeling and Raman spectroscopy of graphene composites.

这项拨款支持研究支持可扩展的纳米制造方法的发展，石墨烯基聚合物纳米复合材料具有可控的性能。该项目涉及基于石墨烯的纳米复合材料性能的层依赖控制及其最终的可扩展制造，重点是光电驱动。微观模型将用于描述石墨烯/聚合物复合材料的光电响应。实验涉及基于层数的石墨烯分离，研究石墨烯基复合材料的机械强度、渗透阈值和电导率的层依赖关系，以及利用这种可控纳米制造技术创造具有高能量转换效率的先进复合材料。如果成功，这项研究的结果将导致基于石墨烯的节能材料和复合材料具有可预测和可控的性能，如渗透阈值，电导率，机械强度和光电驱动。石墨烯复合材料的可扩展纳米制造最终可能会带来无数的技术，比如智能人造皮肤，用于感应应变和压力，以及将太阳能转化为电能、热能和机械运动。该提案将为基于层数的石墨烯分离，使用石墨烯层作为核进行增强聚合和交联，层依赖的光电响应和具有不同渗透阈值水平的石墨烯复合材料的橡胶弹性以及先进复合材料和光电致动器的纳米制造技术做出先进贡献。提出的工作也将对石墨烯复合材料的微观数学建模和拉曼光谱做出贡献。