Ferroelectric Gradient Microfoams as High-Performance Self-Powered Flexible Pressure Sensors

铁电梯度微泡沫作为高性能自供电柔性压力传感器

基本信息

  • 批准号:
    2035051
  • 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:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-09-01 至 2023-11-30
  • 项目状态:
    已结题

项目摘要

Flexible pressure sensors hold great application potential in intelligence robots, biomimetic prosthetics and health monitoring. To mimic human skin’s perception of pressure, it is essential that a flexible pressure sensor must be applicable to a broad pressure range aside of its high sensitivity. However, while various transduction mechanisms covering a broad pressure range have been adopted in pressure detection, an unreconciled tradeoff exists between high sensitivity and a broad working range of pressures in the current flexible pressure sensors. This fundamental tradeoff limits the practical applications of the flexible pressure sensors in various healthcare and wearable electronics. This project proposes fundamental research for the development of a new class of flexible ferroelectric sensors that will resolve the tradeoffs. Findings from this project will pave the way toward flexible tactile sensors with high sensitivity over a broad detection range, multi-modal detection capability, and self-powered characteristic, together with remarkable mechanical stability and durability. The educational goal is to foster the multidisciplinary training environment for undergraduate and graduate students and build next-generation workforce who will be well prepared to undertake new scientific and engineering challenges. This project will promote the minority involvement and participation in science and engineering research at Penn State.Ferroelectric microfoams are mechanically flexible and highly mechanosensitive. However, the pressure sensors based on the foams with uniform porosity lose detection sensitivity beyond the critical load at which the microskeletons in the foam buckle. To overcome this limitation, this research team aims to develop high-performance gradient microfoam sensors. With gradient porosity, the detrimental buckling mode can be shielded by simultaneously activating other deformation modes in the ferroelectric foam, thereby enabling both high sensitivity and broad detection range. An integrated approach, involving multiphysics modeling, materials synthesis, and comprehensive characterization of mechanical, piezoelectric, and sensing properties, will be adopted to fulfill the goals. The multiphysics modeling will identify a set of key parameters that govern mechanical flexibility, detection sensitivity and operation range, which will guide the design and optimization of the gradient foam sensors. The proposed synthesis approach involves the fabrication of the microfoam with gradient porosity followed by grafting of molecular ferroelectric crystals onto the foam. The performance of the sensors will be characterized and demonstrated at different loading regimes and loading modes. This in-depth understanding and characterization will lead to the processing of the gradient ferroelectric microfoam sensors with unprecedented precision and performance. Knowledge generated within this project will also foster transformative progress in broadening applications of molecular ferroelectrics, a newly developed class of electroactive materials, in sensors and other electronic devices.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.
柔性压力传感器在智能机器人、仿生假肢、健康监测等领域具有广阔的应用前景。为了模仿人类皮肤对压力的感知,除了其高灵敏度之外,柔性压力传感器必须适用于宽的压力范围。然而,虽然在压力检测中已经采用了覆盖宽压力范围的各种换能机制,但是在当前柔性压力传感器中,在高灵敏度和宽工作压力范围之间存在不协调的折衷。这种基本的权衡限制了柔性压力传感器在各种医疗保健和可穿戴电子产品中的实际应用。该项目提出了一种新的柔性铁电传感器,将解决权衡的发展基础研究。该项目的研究结果将为柔性触觉传感器铺平道路,该传感器在广泛的检测范围内具有高灵敏度,多模态检测能力和自供电特性,以及出色的机械稳定性和耐用性。教育目标是为本科生和研究生培养多学科培训环境,并建立下一代劳动力,他们将为迎接新的科学和工程挑战做好充分准备。该项目将促进少数民族参与宾夕法尼亚州立大学的科学和工程研究。铁电微泡沫具有机械柔性和高度机械敏感性。然而,基于具有均匀孔隙率的泡沫的压力传感器在超过泡沫中的微骨架屈曲的临界载荷时失去检测灵敏度。为了克服这一限制,该研究小组旨在开发高性能梯度微泡沫传感器。利用梯度孔隙率,可以通过同时激活铁电泡沫中的其他变形模式来屏蔽有害的屈曲模式,从而实现高灵敏度和宽检测范围。一个综合的方法,涉及多物理场建模,材料合成,和机械,压电和传感性能的综合表征,将被采用来实现这些目标。多物理场建模将确定一组控制机械灵活性、检测灵敏度和操作范围的关键参数,这将指导梯度泡沫传感器的设计和优化。所提出的合成方法涉及的微泡沫的制造与梯度孔隙率,然后由分子铁电晶体接枝到泡沫上。传感器的性能将在不同的加载制度和加载模式的特点和证明。这种深入的理解和表征将导致具有前所未有的精度和性能的梯度铁电微泡沫传感器的加工。该项目所产生的知识也将促进分子铁电体(一种新开发的电活性材料)在传感器和其他电子设备中扩大应用的变革性进展。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
3D Highly Stretchable Liquid Metal/Elastomer Composites with Strain‐Enhanced Conductivity
  • DOI:
    10.1002/adfm.202310225
  • 发表时间:
    2023-10
  • 期刊:
  • 影响因子:
    19
  • 作者:
    Ruyue Fang;Bin Yao;Tianwu Chen;Xinwei Xu;Dingchuan Xue;Wei Hong;Hong Wang;Qing Wang;Sulin Zhang
  • 通讯作者:
    Ruyue Fang;Bin Yao;Tianwu Chen;Xinwei Xu;Dingchuan Xue;Wei Hong;Hong Wang;Qing Wang;Sulin Zhang
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Qing Wang其他文献

The surface mode supported by an asymmetrical waveguide containing left-handed materials
由包含左手材料的不对称波导支持的表面模式
  • DOI:
    10.1016/j.optcom.2011.06.053
  • 发表时间:
    2011-09
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Qing Wang;Jingping Xu;Yaping Yang
  • 通讯作者:
    Yaping Yang
Finite-time output synchronization and H-infinity output synchronization of coupled neural networks with multiple output couplings
多输出耦合耦合神经网络的有限时间输出同步和H无穷输出同步
  • DOI:
    10.1109/tcyb.2020.2964592
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    11.8
  • 作者:
    Jin-Liang Wang;Qing Wang;Huai-Ning Wu;Tingwen Huang
  • 通讯作者:
    Tingwen Huang
Optimizing a High-Speed Railway Operation Plan Based on Train Capacity and Service Frequency
基于列车运力和班次优化高铁运营方案
Beam quality analysis and optimization for 10 kW-level spectral beam combination system
10kW级光谱合束系统光束质量分析与优化
  • DOI:
    10.1016/j.optcom.2019.03.030
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    2.4
  • 作者:
    Fan Chen;Jianyun Zhang;Jun Ma;Cong Wei;Rihong Zhu;Bing Han;Qing Wang
  • 通讯作者:
    Qing Wang
Simultaneous variable and factor selection via sparse group lasso in factor analysis
因子分析中通过稀疏组套索同时选择变量和因子

Qing Wang的其他文献

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{{ truncateString('Qing Wang', 18)}}的其他基金

Advancing Academic Success and Career Development for Talented, Low-Income Computer Science, Mathematics, and Engineering Majors
促进有才华的低收入计算机科学、数学和工程专业学生的学业成功和职业发展
  • 批准号:
    2130267
  • 财政年份:
    2021
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
SusChEM: Nonflammable, Highly Conductive Ionic Liquid based Organic-Inorganic Hybrid Electrolytes for Lithium Batteries
SusChEM:用于锂电池的不可燃、高导电离子液体基有机-无机混合电解质
  • 批准号:
    1704173
  • 财政年份:
    2017
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Rational Design and Manufacturing of Ceramic-Polymer Composites for Solid State Cooling using the Electrocaloric Effect
利用电热效应合理设计和制造用于固态冷却的陶瓷聚合物复合材料
  • 批准号:
    1361713
  • 财政年份:
    2014
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Collaborative Research: Stable Boundary Layer Processes and Their Interaction with Nocturnal Convection over the Great Plains in the Plains Elevated Convection At Night (PECAN)
合作研究:平原夜间高对流(PECAN)中稳定边界层过程及其与大平原夜间对流的相互作用
  • 批准号:
    1359723
  • 财政年份:
    2014
  • 资助金额:
    $ 36万
  • 项目类别:
    Interagency Agreement
Enhancing Academic Achievement and Career Preparation for Scholars in Computer Science, Mathematics, and Engineering
提高计算机科学、数学和工程学者的学术成就和职业准备
  • 批准号:
    1259713
  • 财政年份:
    2013
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Novel Single-Ion Conductors for Lithium-Ion Batteries
用于锂离子电池的新型单离子导体
  • 批准号:
    1235761
  • 财政年份:
    2012
  • 资助金额:
    $ 36万
  • 项目类别:
    Standard Grant
Collaborative Research: Dropsonde Measurements for Characterizing Lower Troposphere Moisture Variability and Air-sea Interaction over the Tropical Indian Ocean
合作研究:用于表征热带印度洋上空对流层低层湿度变化和海气相互作用的下投探空仪测量
  • 批准号:
    1062300
  • 财政年份:
    2011
  • 资助金额:
    $ 36万
  • 项目类别:
    Interagency Agreement
Engineering Selective Fuel Cell and Water Treatment Membranes
工程选择性燃料电池和水处理膜
  • 批准号:
    0932740
  • 财政年份:
    2009
  • 资助金额:
    $ 36万
  • 项目类别:
    Continuing Grant
Collaborative Research: Physics of Stratocumulus Top (POST)
合作研究:层积云顶部物理学(POST)
  • 批准号:
    0736072
  • 财政年份:
    2008
  • 资助金额:
    $ 36万
  • 项目类别:
    Interagency Agreement
Simvastatin prevents dopaminergic neuronal injury in experimental PD models via activation of NF-kB and MMP 9 and 3
辛伐他汀通过激活 NF-kB 和 MMP 9 和 3 预防实验性 PD 模型中的多巴胺能神经元损伤
  • 批准号:
    nhmrc : 514640
  • 财政年份:
    2008
  • 资助金额:
    $ 36万
  • 项目类别:
    Early Career Fellowships

相似国自然基金

基于肺结节多正交位CT图像Curvelet纹理构建 Gradient Boosting 集成预测模型
  • 批准号:
    81172772
  • 批准年份:
    2011
  • 资助金额:
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    面上项目

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