Fiber based Fabric Sensors

基于光纤的织物传感器

基本信息

  • 批准号:
    1509043
  • 负责人:
  • 金额:
    $ 36万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-08-01 至 2018-07-31
  • 项目状态:
    已结题

项目摘要

Proposal 1509043Proposal Title: Fiber based Fabric SensorsProject Goals:This proposal aims to develop computational model supported benchtop and wearable impedance characterization tools to investigate sensory capabilities of co-extruded multicomponent fibers in a woven fabric structure for biomedical monitoring applications.a) Nontechnical Abstract:The U.S. textiles industry can only remain competitive by engaging in technologies that employ advanced materials for emerging smart textiles. A novel method was proposed to engineer electronic sensing functionalities into textiles at one or more of the hierarchical levels of molecules, fibers, yarns, or fabrics. The woven interlacement eliminates the need for conventional lithography, which is neither scalable to large areas nor compatible with textile manufacturing. Therefore, a fundamentally translational and transformative manufacturing method was proposed for numerous biomedical sensing needs where the limitations imposed by substrate size for processing in conventional semiconductor- and cleanroom-based sensors are potentially obviated and a very attractive possibility of low cost roll-to-roll processing of very large-area flexible sensor systems open up. Beyond its impact on economy and healthcare, the project will be used to design hands on modules for high school and college students, especially from underrepresented minority communities, and their educators to attract attention to wearable electronic textile systems by (i) learning cutting-edge methods used in fabrication and testing of Fiber-based Active Sensory Textiles, and (ii) developing design and problem-solving skills to generate and analyze the sensory response described herein. These students will be prepared to lead new research to drive the commercial development of electronic textiles, which promise much-needed economic and employment benefits as commodity textiles are increasingly manufactured off-shore.b) Technical Abstract:Electronic textiles have attracted considerable scientific and commercial interest recently. While initial efforts were targeting wearable computing applications, the recent focus has been towards integration of sensing. A practical, effective, and inconspicuous means to introduce desired electrical characteristics is at the fiber level, where processes that are compatible to textiles could be used. To enable textile based sensing, under this project, the use of highly ordered segments of conducting and insulating materials in the fiber cross-sectional structure will be investigated. The unobtrusive integration of electronic sensing capabilities while preserving all desirable ?textile? qualities requires fundamental electrical and mechanical understanding of the hierarchical nature of textile structures and their unique methods of assembly. In particular, the use of multicomponent fibers extruded from commercially available thermoplastic polyurethane elastomers will be explored in a wide variety of mechanical and rheological property combinations as the base polymer. The controllability of the proposed methods of fabrication, melt extrusion and weaving enables the readily adaptation and testing of co-extruded multicomponent fibers to the general development of conformable Fiber-based Active Sensory Textiles based health-monitoring systems
提案 1509043 提案标题:基于纤维的织物传感器项目目标:该提案旨在开发计算模型支持的台式和可穿戴阻抗表征工具,以研究用于生物医学监测应用的机织织物结构中共挤出多组分纤维的传感能力。美国纺织业只能通过采用新兴智能纺织品先进材料的技术来保持竞争力。提出了一种新方法,将电子传感功能设计到分子、纤维、纱线或织物的一个或多个层次级别的纺织品中。编织交错消除了对传统光刻的需要,传统光刻既不能扩展到大面积,也不与纺织品制造兼容。因此,针对众多生物医学传感需求,提出了一种根本性的平移和变革性制造方法,其中可以消除传统半导体和基于洁净室的传感器中处理的基板尺寸所带来的限制,并且可以实现低成本卷对卷的非常有吸引力的可能性大面积柔性传感器系统的处理开辟了道路。除了对经济和医疗保健的影响之外,该项目还将用于为高中生和大学生设计实践模块,特别是来自代表性不足的少数族裔社区的学生及其教育工作者,通过以下方式吸引人们对可穿戴电子纺织系统的关注:(i) 学习尖端技术用于制造和测试基于纤维的主动感官纺织品的方法,以及(ii)开发设计和解决问题的技能以生成和分析本文所述的感官响应。这些学生将准备好领导新的研究,以推动电子纺织品的商业发展,随着商品纺织品越来越多地在海外制造,电子纺织品有望带来急需的经济和就业效益。b) 技术摘要:电子纺织品吸引了相当多的科学和商业关注最近有兴趣。虽然最初的努力是针对可穿戴计算应用,但最近的重点是传感集成。引入所需电气特性的一种实用、有效且不显眼的方法是在纤维层面,可以使用与纺织品兼容的工艺。为了实现基于纺织品的传感,在该项目下,将研究在纤维横截面结构中使用高度有序的导电和绝缘材料段。电子传感功能的低调集成,同时保留所有理想的“纺织品”。质量需要对纺织结构的层次性质及其独特的组装方法有基本的电气和机械理解。特别是,将探索使用由市售热塑性聚氨酯弹性体挤出的多组分纤维作为基础聚合物,其具有多种机械和流变性能组合。所提出的制造、熔体挤出和编织方法的可控性使得共挤出多组分纤维能够容易地适应和测试以适应基于纤维的主动感官纺织品的健康监测系统的总体开发

项目成果

期刊论文数量(0)
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Alper Bozkurt其他文献

Quantifying Visual Differences in Drought-Stressed Maize through Reflectance and Data-Driven Analysis
通过反射率和数据驱动分析量化干旱胁迫玉米的视觉差异
  • DOI:
    10.3390/ai5020040
  • 发表时间:
    2024-06-04
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sanjana Banerjee;J. Reynolds;Matt Taggart;Michael Daniele;Alper Bozkurt;Edgar J. Lobaton
  • 通讯作者:
    Edgar J. Lobaton
EKO-ETİKETLERİN TURİZME VE YEREL EKONOMİYE ETKİLERİ
土耳其经济与经济研究所
Towards a Multimodal Synchronized System for Quantifying Psychophysiological States in Canine Assisted Interactions
迈向量化犬类辅助交互中心理生理状态的多模态同步系统
Evaluating Bacterial Nanocellulose Interfaces for Recording Surface Biopotentials from Plants
评估细菌纳米纤维素界面以记录植物表面生物电势
  • DOI:
    10.3390/s24072335
  • 发表时间:
    2024-04-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    J. Reynolds;Michael D. Wilkins;Devon Martin;Matt Taggart;Kristina R. Rivera;Meral Tunc;Thomas Rufty;Edgar J. Lobaton;Alper Bozkurt;Michael Daniele
  • 通讯作者:
    Michael Daniele
Harmonizing Heritage and Artificial Neural Networks: The Role of Sustainable Tourism in UNESCO World Heritage Sites
协调遗产和人工神经网络:可持续旅游业在联合国教科文组织世界遗产中的作用
  • DOI:
    10.3390/su151713031
  • 发表时间:
    2023-08-29
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Alper Bozkurt;Ferhat Şeker
  • 通讯作者:
    Ferhat Şeker

Alper Bozkurt的其他文献

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{{ truncateString('Alper Bozkurt', 18)}}的其他基金

UROL:ASC: AI-Supported Bionic Bivalves for Surface Water Monitoring based on Freshwater Mussel Response to Environmental Change
UROL:ASC:基于淡水贻贝对环境变化的响应,人工智能支持的仿生双壳类用于地表水监测
  • 批准号:
    2319389
  • 财政年份:
    2023
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
SenSE: AI-Driven, Resilient and Adaptive Monitoring of Sleep (AI-DReAMS)
SenSE:人工智能驱动、弹性和自适应的睡眠监测 (AI-DReAMS)
  • 批准号:
    2037328
  • 财政年份:
    2021
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
SCH: INT: Novel Textile Based Sensors for Inner Prosthetic Socket Environment Monitoring
SCH:INT:用于内部假肢接受腔环境监测的新型纺织品传感器
  • 批准号:
    1622451
  • 财政年份:
    2016
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
CAREER:Bio-electro-photonic Microsystem Interfaces for Small Animals
职业:小动物生物光电微系统接口
  • 批准号:
    1554367
  • 财政年份:
    2016
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
CPS: Synergy: Collaborative Research: Cyborg Insect Networks for Exploration and Mapping (CINEMa)
CPS:协同:协作研究:用于探索和绘图的机器人昆虫网络 (CINEMa)
  • 批准号:
    1239243
  • 财政年份:
    2012
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant

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