Lightweight memory materials for adaptive and self-healing automotive structures

用于自适应和自修复汽车结构的轻质记忆材料

• 批准号: 1791833
• 金额: --
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1791833
• 关键词: Lightweight; memory; materials; adaptive; self

This project will provide optimum combinations of self-healing polymers filled with nanoparticles to form advanced light-weight materials for car components that can self-heal upon applied stimuli (e.g. light, temperature), improve fuel efficiency and ultimately contribute to weight saving. These materials will have a copolymer structure where one polymer component will provide the strength and the second polymer component is vital for flexibility and its ability to be remoulded. The experimental part of the project will involve polymer and composite preparation, and advanced characterisation thereof. Computational modelling will assist experiments to provide a better understanding of self-healing characteristics of polymer in the presence of the nanoparticles. Further examination into how shape-memory components could be used for these components and how this might further the exploitation of such materials. A potential automotive component, suitable with available facility, will be identified and manufactured to demonstrate the technology. This project fits within the Manufacturing the Future theme and research areas including Materials engineering - composites and Polymer materials.

该项目将提供填充有纳米颗粒的自修复聚合物的最佳组合，以形成用于汽车部件的先进轻质材料，这些材料可以在施加刺激（例如光线，温度）时自我修复，提高燃油效率并最终有助于减轻重量。这些材料将具有共聚物结构，其中一种聚合物组分将提供强度，而第二种聚合物组分对于柔韧性及其重塑能力至关重要。该项目的实验部分将涉及聚合物和复合材料的制备及其先进的表征。计算建模将有助于实验，以提供更好地了解聚合物的自愈合特性的纳米粒子的存在。进一步研究如何将形状记忆组件用于这些组件，以及如何进一步开发此类材料。一个潜在的汽车部件，适合与现有的设施，将被确定和制造，以证明该技术。该项目符合未来制造的主题和研究领域，包括材料工程-复合材料和聚合物材料。