GOALI: Shape Memory Polymer Composites

目标：形状记忆聚合物复合材料

• 批准号: 1004807
• 负责人: Patrick Mather
• 金额: $ 32万
• 依托单位: Syracuse University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1004807&HistoricalAwards=false
• 关键词: GOALI; Shape; Memory; Polymer; Composites

TECHNICAL:A university-industry collaboration is established to address outstanding questions concerning the limitations of current polymer-based shape memory technology by studying new composite systems capable of both shape memory behavior and improved physical properties. Here, shape memory is the process whereby a material that has been deformed and temporarily fixed in this deformed shape can be triggered to recover to its original, un-deformed, permanent shape. Such a phenomenon can be exploited for actuation and device deployment. For high performance applications, high thermal and electrical conductivity, high stiffness, and outstanding durability are needed. In this collaborative research project, a composite approach is adopted to meet these needs. Unique materials design, processing and thermo-mechanical characterization (SU) is combined with detailed microstructural and interface characterization (GM) that will lead to quantitative and mechanistic understanding that connects material composition, and reinforcement/matrix physical and chemical interactions with the composites bulk properties and their shape memory performances. Design guidelines will be established for developing new shape memory polymer composites (SMPCs) with improved properties and performances that will offer new solutions for structural applications. By comparing multiple materials systems consisting of the same matrix composition but with varying reinforcement types, the effects of reinforcement/matrix-specific interactions on the composites bulk properties will be determined.NON-TECHNICAL:?Smart? materials offer the potential to greatly simplify mechanical designs utilized in diverse fields of manufacturing, mechanical devices, robotics, and packaging to name a few. This is possible because unlike conventional motors, the material of construction, itself, changes shape during actuation. The focus of this research project is on a particularly exciting class of smart materials, namely shape memory polymers, SMPs. Despite the promise of SMPs, their mechanical and actuation properties have thus far been limited relative to the requirements of demanding applications mentioned above. In this research, the university-industry team will significantly increase the properties of existing and scalable SMPs using a variety of reinforcement strategies. The research activities and outcomes will broadly impact researchers in the fields of materials science and engineering by revealing new processing and design tools and fundamental understanding of composite properties, herein applied to shape memory but broadly applicable to other properties and applications. By integrating the proposed research and education, graduate and undergraduate students will have the opportunity to participate in research activities within the fast-paced industrial setting on a problem with significant industrial relevance and high impact potential for innovation. In addition, the findings resulting from the proposed research will be translated in the classroom by the PI. In particular, design tools for shape memory polymers will be developed by undergraduate student teams and applied to several real world applications, including medical devices, household goods, and mechanical mechanisms. Simultaneously, the resulting design tools will provide the materials field at large with a much-needed database of the inter-relationships between properties, design, and shape memory figures-of-merit for SMPCs.

技术：建立了一个大学-工业合作，通过研究能够同时具有形状记忆行为和改善物理性能的新型复合材料系统，解决有关当前基于聚合物的形状记忆技术局限性的突出问题。 在此，形状记忆是这样的过程，其中已经变形并暂时固定在该变形形状中的材料可以被触发以恢复到其原始的、未变形的、永久的形状。这种现象可用于致动和装置部署。对于高性能应用，需要高导热性和导电性、高刚度和出色的耐久性。在这个合作研究项目中，采用了一种复合方法来满足这些需求。独特的材料设计，加工和热机械特性（SU）与详细的微观结构和界面特性（GM）相结合，这将导致定量和机械的理解，连接材料成分，增强/基体物理和化学相互作用与复合材料的整体性能和形状记忆性能。设计准则将建立开发新的形状记忆聚合物复合材料（SMPC）与改进的性能和性能，将提供新的解决方案的结构应用。通过比较由相同基体成分但具有不同增强类型组成的多种材料系统，将确定增强/基体特定相互作用对复合材料整体性能的影响。非技术性：？聪明？材料提供了极大地简化机械设计的可能性，所述机械设计用于制造、机械装置、机器人和包装等不同领域。这是可能的，因为与传统的马达不同，构造材料本身在致动期间改变形状。该研究项目的重点是一类特别令人兴奋的智能材料，即形状记忆聚合物，SMP。尽管SMP有希望，但它们的机械和致动特性迄今为止相对于上述苛刻应用的要求受到限制。在这项研究中，大学-工业团队将使用各种强化策略显着增加现有和可扩展的SMP的属性。 研究活动和成果将通过揭示新的加工和设计工具以及对复合材料性能的基本理解，广泛影响材料科学和工程领域的研究人员，本文适用于形状记忆，但广泛适用于其他性能和应用。通过整合拟议的研究和教育，研究生和本科生将有机会在快节奏的工业环境中参与研究活动，研究具有重大工业相关性和高影响力的创新潜力问题。此外，PI将在课堂上翻译拟议研究的结果。特别是，形状记忆聚合物的设计工具将由本科生团队开发，并应用于几个真实的世界的应用，包括医疗设备，家居用品和机械机构。 同时，由此产生的设计工具将提供材料领域在大的SMPC的性能，设计和形状记忆系数的优点之间的相互关系的一个急需的数据库。