CAREER: Design and Processing of Multifunctional Shape Memory Alloy Microfiber Yarns and Textiles with Tailorable Mechanical Performance

职业：具有可定制机械性能的多功能形状记忆合金超细纤维纱线和纺织品的设计和加工

基本信息

批准号：
1943715
负责人：
Julianna Abel
金额：
$ 50万
依托单位：
University of Minnesota-Twin Cities
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-07-01 至 2025-06-30
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1943715&HistoricalAwards=false
关键词：
CAREER Design Processing Multifunctional Shape

项目摘要

This Faculty Early Career Development (CAREER) grant focuses on developing a science-based manufacturing strategy that combines experiment, modeling, and process development to create novel multifunctional yarns and textiles made from shape memory alloy microfibers. Multifunctional yarns and textiles incorporate active material microfibers in their structure to provide actuation, sensing, energy harvesting, or communication, potentially revolutionizing medical devices, rehabilitation equipment, and wearable technologies to deliver life-saving and life-enhancing interventions. Shape memory alloys are a particularly promising material system for multifunctional yarns and textiles because they directly afford actuation through the shape memory effect and energy absorption through the superelastic effect. It is hypothesized that the performance of the yarns and textiles are a function of the material composition, heat treatment, and processing parameters. This research seeks to understand the interrelationships between processing, structure and properties, predict the performance of the yarns and textiles through the creation of modeling capabilities, and develop a manufacturing strategy to produce and implement multifunctional textiles with tailorable mechanical performance. The research advances are integrated into outreach, mentoring, artistic and coursework activities to increase the recruitment and retention of underrepresented minority and female students, grow the community of STEM literate citizens, and develop the next generation of researchers and educators.The specific goal of the research is to understand the effects of material, yarn, and textile processing on the properties and performance of shape memory alloy (SMA) yarns and textiles. SMAs are temperature, path, and history-dependent materials. The manufacture of new SMA architectures, such as microfiber yarns and textiles, must account for each of these histories to achieve consistent mechanical performance. The research objectives of this project are: 1) Experimentally demonstrate the interrelationship between material, yarn, and textile processing and performance of NiTi SMA yarns and textiles, 2) Derive a predictive model for NiTi yarns by incorporating stresses in microfibers, a non-linear NiTi material model and manufacturing boundary conditions, and 3) Establish a qualitative and quantitative hierarchical manufacturing strategy for NiTi integrated textiles. This project seeks to address the following fundamental questions at each length scale: i) What processing parameters are required to achieve a desired mechanical performance in fibers at the microscale? ii) What manufacturing changes are necessary to create multifunctional fibers on a scale appropriate for yarn spinning? and iii) How can existing textile manufacturing processes be modified to create textiles with tunable kinematic and kinetic properties? This project allows the PI to combine innovative design processes and advanced manufacturing techniques with material and structural modeling to lay the scientific foundation necessary for the rigorous design and manufacture of multifunctional yarns and textiles.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项教师早期职业发展（职业）赠款专注于制定基于科学的制造策略，该策略结合了实验，建模和过程开发，以创建由形状内存合金微纤维制成的新型多功能纱线和纺织品。多功能纱线和纺织品在其结构中结合了活性材料，以提供驱动，感应，能量收集或交流，可能会彻底改变医疗设备，康复设备和可穿戴技术，以提供挽救生命和寿命增强的干预措施。形状记忆合金是用于多功能纱线和纺织品的特别有希望的材料系统，因为它们通过形状记忆效应和通过超弹性效应直接实现了驱动。假设纱线和纺织品的性能是材料组成，热处理和加工参数的函数。这项研究旨在了解处理，结构和属性之间的相互关系，通过创建建模能力来预测纱线和纺织品的性能，并制定制造策略，以生产和实施具有可验证的机械性能的多功能纺织品。研究进步融入了外展，指导，艺术和课程活动，以增加代表性不足的少数群体和女学生的招聘和保留，发展STEM识字公民社区，并发展下一代研究人员和教育者。 SMA是温度，路径和历史依赖材料。新的SMA体系结构（例如微纤维纱线和纺织品）的制造必须说明这些历史中的每一个，以实现一致的机械性能。 The research objectives of this project are: 1) Experimentally demonstrate the interrelationship between material, yarn, and textile processing and performance of NiTi SMA yarns and textiles, 2) Derive a predictive model for NiTi yarns by incorporating stresses in microfibers, a non-linear NiTi material model and manufacturing boundary conditions, and 3) Establish a qualitative and quantitative hierarchical manufacturing strategy for NiTi integrated纺织品。该项目旨在以每个长度尺度解决以下基本问题：i）在微观上，需要哪些处理参数来实现纤维中所需的机械性能？ ii）在适合纱线旋转的尺度上创建多功能纤维需要哪些制造更改？ iii）如何修改现有的纺织制造过程以创建具有可调运动和动力学特性的纺织品？该项目允许PI将创新的设计过程和先进的制造技术与材料和结构建模相结合，从而为严格的设计和制造多功能纱线和纺织品制造所必需的科学基础。这项奖项反映了NSF的法定任务，并通过使用该基金会的知识优点和广泛影响来评估NSF的法定任务。