GOALI/Collaborative Research: Ferromagnetic Nanowires for Bio-inspired Microfluidic NanoElectroMechanical Systems (NEMS)

GOALI/合作研究:用于仿生微流控纳米机电系统 (NEMS) 的铁磁纳米线

基本信息

  • 批准号:
    1000863
  • 负责人:
  • 金额:
    $ 12.5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2010
  • 资助国家:
    美国
  • 起止时间:
    2010-07-01 至 2012-06-30
  • 项目状态:
    已结题

项目摘要

The objective of this Grant Opportunity for Academic Liaison with Indusrry (GOALI) Collaborative Research project is to to use magnetic nanowires to mimic the cilia found ubiquitously in nature in order to produce transformative in situ NEMS sensors of boundary layer flows and magnetically actuated mixers in microfluidic channels. In nature, tremendous variability is found in the geometries of cilia structures, as illustrated by the hair-like mechanoreceptor examples from fish, insects and mammals. Engineered cilia found in the literature exhibit cylindrical, curved and/or rectangular geometries. New fabrication methods that will not only improve control of these 2-D branching capabilities but will extend the ability to 3-D, allowing one to build in 3-D branching geometries in a wide variety of ferromagnetic materials. Fluid-structure interaction modeling will be used to predict optimal materials and geometries which will enable prototype hair-cell flow sensors and actuators to be fabricated. Nanowires geometries to date have been limited to planar structures and in our case cilia vertical to a planar substrate. The variety of shapes found in biological cilia suggests that optimization of nanowire geometries for use in flow sensors and actuators will require the ability to fabricate complex structures that are matched to targeted flow regimes. Therefore, novel templates will be used for 2D and 3D cilia geometries. For the microfluidic applications, tailoring of nanowire geometries requires understanding of low Reynolds number, laminar flows, i.e. regimes for which Navier-Stokes flow formulations for mean flows and Prandtl/Blasius solution formulations for the boundary layer are quite reasonable, and for which computational models of fluid-structure interaction compare well with measured flows. Computational modeling of 2D structures will be extended to the 3D structures grown in this investigation. These cilia sensors and actuators will have impact well beyond the microfluidic applications that were proposed. Many micro- and nano-robotics would benefit from these nanosensors and arrays. Also, biological species themselves will be better understood with artificial sensing as their impact on the whole system can be evaluated without adverse affects to other functions as often occurs in biological studies. The PIs will organize a co-ed and girls-only summer camp in circuits and students from each school will be exposed to this interuniversity, interdisciplinary, industrially applied program.
这个与Indusrry(GOALI)合作研究项目学术联络的资助机会的目的是使用磁性纳米线来模仿自然界中普遍存在的纤毛,以便在微流体通道中产生边界层流和磁致动混合器的变革性原位NEMS传感器。在自然界中,纤毛结构的几何形状存在巨大的变化,如鱼类、昆虫和哺乳动物的毛状机械感受器所示。在文献中发现的工程纤毛表现出圆柱形、弯曲和/或矩形几何形状。新的制造方法不仅可以改善对这些2-D分支能力的控制,而且可以将能力扩展到3-D,允许在各种铁磁材料中构建3-D分支几何形状。流体-结构相互作用模型将用于预测最佳材料和几何形状,这将使原型毛细胞流量传感器和致动器被制造。纳米线的几何形状迄今已被限制为平面结构,在我们的情况下,纤毛垂直于平面基板。在生物纤毛中发现的各种形状表明,用于流量传感器和致动器的纳米线几何形状的优化将需要能够制造与目标流态相匹配的复杂结构。因此,新型模板将用于2D和3D纤毛几何形状。对于微流体应用,定制的纳米线的几何形状需要了解低雷诺数,层流,即制度的平均流量和普朗特/Blasius解决方案配方的Navier-Stokes流配方的边界层是相当合理的,和计算模型的流体-结构相互作用比较以及与测量流量。二维结构的计算建模将扩展到在这项调查中生长的三维结构。这些纤毛传感器和致动器的影响将远远超出所提出的微流体应用。许多微型和纳米机器人将受益于这些纳米传感器和阵列。此外,生物物种本身将更好地了解与人工传感,因为它们对整个系统的影响可以评估,而不会对其他功能的不利影响,经常发生在生物学研究。PI将组织一个男女同校和女孩只在电路夏令营和学生从每个学校将接触到这个大学间,跨学科,工业应用程序。

项目成果

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Bethanie Stadler其他文献

Nanomagnetic Materials Fabrication, Characterization and Application
纳米磁性材料的制备、表征及应用
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Akinobu Yamaguchi;Atsufumi Hirohata;Bethanie Stadler
  • 通讯作者:
    Bethanie Stadler
Nanomagnetic Materials
纳米磁性材料
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Akinobu Yamaguchi;Atsufumi Hirohata;Bethanie Stadler
  • 通讯作者:
    Bethanie Stadler

Bethanie Stadler的其他文献

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{{ truncateString('Bethanie Stadler', 18)}}的其他基金

I-Corps: Processing of high-performance optical isolator materials using magneto-optical garnets on Si wafers
I-Corps:在硅晶圆上使用磁光石榴石加工高性能光学隔离器材料
  • 批准号:
    2043044
  • 财政年份:
    2021
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
Roll-Imprint Manufacturing of Three-Dimensional Nanomagnetic Arrays
三维纳米磁性阵列的滚压印制造
  • 批准号:
    1762884
  • 财政年份:
    2018
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
Fully-integrated Isolators for Silicon Photonics using WAMO (Wrap Around Magneto-Optics)
使用 WAMO(环绕磁光)的全集成硅光子隔离器
  • 批准号:
    1708887
  • 财政年份:
    2017
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
Support of US Graduate Student for 2015 Magnetism Summer. To Be Held in Minneapolis St. Paul Minnesota on June 14-19, 2015
2015 年磁力暑期美国研究生支持。
  • 批准号:
    1543987
  • 财政年份:
    2015
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
Materials World Network: Complex Oxides for Heterogeneous Optoelectronic Integration
材料世界网:用于异质光电集成的复杂氧化物
  • 批准号:
    1210818
  • 财政年份:
    2012
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Understanding Magnetostrictive Galfenol Physics for Micro- and Nano-scale Devices
合作研究:了解微型和纳米级器件的磁致伸缩加酚物理
  • 批准号:
    1231993
  • 财政年份:
    2012
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Continuing Grant
Monolithically Integrated Nonreciprocal Garnet Devices on Semiconductor Platforms
半导体平台上的单片集成不可逆石榴石器件
  • 批准号:
    0901321
  • 财政年份:
    2009
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
SGER: Monolithically Integrated Garnet Isolators on Si
SGER:硅上单片集成石榴石隔离器
  • 批准号:
    0834627
  • 财政年份:
    2008
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
2006 GOALI GRANTEES WORKSHOP TO BE HELD AT NSF ON FEB. 16-17, 2006.
2006 年 Goali 受资助者研讨会将于 2 月在 NSF 举行
  • 批准号:
    0620104
  • 财政年份:
    2006
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant
SENSORS: Collaborative Research: Artificial Cilia- Biologically Inspired Nanosensors
传感器:合作研究:人工纤毛——生物启发纳米传感器
  • 批准号:
    0329975
  • 财政年份:
    2003
  • 资助金额:
    $ 12.5万
  • 项目类别:
    Standard Grant

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合作研究:GOALI:用于鱼类遥测标签的仿生双稳态能量收集
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