课题基金 / 基金详情

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

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
批准号:
1943715
负责人:
Julianna Abel
金额:
$50.0万
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
项目状态:
未结题
起止时间:
2020-07-01 至 2025-06-30

项目摘要

项目成果

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中文摘要
翻译
该学院早期职业发展(CAREER)资助的重点是开发一种基于科学的制造策略,将实验,建模和工艺开发相结合,以创建由形状记忆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加入了活性材料微纤维,以提供驱动、传感、能量收集或通信,从而可能彻底改变医疗设备、康复设备和可穿戴技术,以提供拯救生命和增强生命的干预措施。形状记忆合金是用于多功能纱线和纺织品的特别有前途的材料系统,因为它们通过形状记忆效应直接提供致动和通过超弹性效应提供能量吸收。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。本研究旨在了解加工,结构和性能之间的相互关系,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定制机械性能的多功能纺织品。研究进展被纳入推广,指导,艺术和课程活动,以增加招聘和保留代表性不足的少数民族和女学生,发展STEM识字公民的社区,并培养下一代研究人员和教育工作者。研究的具体目标是了解材料,纱线,和纺织加工对形状记忆合金(SMA)纱线和纺织品的性能和性能的影响。SMA是温度、路径和历史相关的材料。新型SMA结构(如超细纤维纱线和纺织品)的制造必须考虑这些历史中的每一个,以实现一致的机械性能。本项目的研究目标是:1)通过实验证明材料、纱线和纺织品加工与NiTi SMA纱线和纺织品的性能之间的相互关系,2)通过结合微纤维中的应力、非线性NiTi材料模型和制造边界条件来推导NiTi纱线的预测模型,3)建立了镍钛一体化纺织品的定性和定量分级制造策略。该项目旨在解决以下基本问题,在每个长度尺度:i)需要什么工艺参数,以实现所需的机械性能,在纤维的微观尺度?ii)为了生产出适合纺纱的多功能纤维,需要进行哪些生产工艺上的改变?以及iii)如何修改现有的纺织品制造工艺以制造具有可调运动学和动力学特性的纺织品?该项目使PI能够将联合收割机创新设计过程和先进制造技术与材料和结构建模相结合,为多功能纱线和纺织品的严格设计和制造奠定必要的科学基础。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Semi-analytical Model for Superelastic Behavior of Twisted Shape Memory Alloy Microfilament Yarns
加捻形状记忆合金微丝超弹性行为的半解析模型
DOI: 10.1007/s40830-021-00314-5
发表时间: 2021
期刊: Shape Memory and Superelasticity
影响因子: 2.2
作者: [Weinberg, Charles A., Cai, Song, Schaffer, Jeremy, Abel, Julianna]
通讯作者: Abel, Julianna
Soft Actuators From Flexible Auxetic Metamaterials and Shape Memory Alloys Springs
由柔性拉胀超材料和形状记忆合金弹簧制成的软执行器
DOI: 10.1115/smasis2023-111012
发表时间: 2023
期刊: American Society of Mechanical Engineers
影响因子: --
作者: [Woo, Janghoon, Abel, Julianna]
通讯作者: Abel, Julianna
Actuating and energy absorbing textiles composed of NiTi microfilament over-twisted coiled yarns
由镍钛微丝超捻卷绕纱组成的驱动和能量吸收纺织品
DOI: 10.1117/12.2585177
发表时间: 2021
期刊: Active and Passive Smart Structures and Integrated Systems XV
影响因子: --
作者: [Weinberg, Charles, Abel, Julianna, Cai, Song, Schaffer, Jeremy]
通讯作者: Schaffer, Jeremy
A Smart Controllable SMA-Based Tourniquet
基于 SMA 的智能可控止血带
DOI: 10.1115/smasis2021-67634
发表时间: 2021
期刊: and Intelligent Systems
影响因子: --
作者: [Golgouneh, Alireza, Li, Jiaqi, Abel, Julianna, Dunne, Lucy E.]
通讯作者: Dunne, Lucy E.
国内基金
海外基金
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