Collaborative Research: Micromechanics of Meniscus-bound Particle Clusters

合作研究:弯月面束缚粒子簇的微观力学

基本信息

  • 批准号:
    2031144
  • 负责人:
  • 金额:
    $ 29.2万
  • 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 2024-08-31
  • 项目状态:
    已结题

项目摘要

Surface tension phenomena are important in a variety of physical processes including blending of immiscible fluids, formation of sprays and aerosols and foaming of plastics. This collaborative project concerns particle-liquid mixtures that are generally called particulate suspensions. Examples include slurries encountered in mineral and ceramics processing, particle-filled molten plastics, and printing inks. In such particulate suspensions, the addition of a second immiscible liquid induces particle "sticking" and aggregation due to surface tension and capillary forces. A familiar example is a sandcastle whose strength comes from small water droplets which bind the sand grains together by capillary forces. This project will conduct fundamental studies of interparticle capillary forces in mixing flows. Particle clusters bound by capillary forces will be placed in well-defined flows and studied using new methods in automated flow control. This work aims to understand the flow dynamics of particle clusters and the limits of their stability, which refers to the conditions under which clusters rupture due to the applied flow. Over the past decade, surface tension-induced particle clustering has been exploited for a wide range materials and materials-processing applications including macroporous ceramics, 3D printing, conductive plastics, and printing electronic circuits. The results of this project will enable rational design of mixing operations that exploit capillary forces to develop new materials.In multiphase suspensions containing particles and two immiscible liquids, capillary forces can induce particle clustering. The clusters comprise two or more particles bound by a meniscus liquid. In this project, the dynamics and rupture mechanics of particle clusters in simple shear or planar extensional flow fields will be studied using video microscopy and automated flow control. A feedback-controlled microfluidic device known as a Stokes trap will be used to precisely manipulate particles using viscous forces, to create well-defined meniscus-bound particle clusters, and to subject the clusters to precisely controlled flows. This work aims to achieve a fundamental understanding of the dynamics and rupture of particle clusters in well-defined flows. The project will reveal fundamentally new information, including the criteria for rupture of particle clusters, and how these criteria depend on the composition of the cluster, viscosity of the meniscus fluid, and particle roughness. Thedesign of mixing operations for liquid/liquid/particle mixtures is presently empirical in nature. This project will establish micromechanics-based design rules for such mixing operations that exploit capillary forces to develop new materials. The project will form the basis for training of graduate and undergraduate students. The two principal investigators will conduct numerous outreach activities at the undergraduate and pre-college level, including recruitment of underrepresented groups into their research groups, and mentorship of high-school students.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.
表面张力现象在各种物理过程中是重要的,包括不混溶流体的混合、喷雾和气溶胶的形成以及塑料的发泡。该合作项目涉及颗粒-液体混合物,通常称为颗粒悬浮液。实例包括矿物和陶瓷加工中遇到的浆料、填充颗粒的熔融塑料和印刷油墨。在这样的颗粒悬浮液中,第二不混溶液体的添加由于表面张力和毛细管力而引起颗粒“粘附”和聚集。一个熟悉的例子是沙堡,它的力量来自于小水滴,这些小水滴通过毛细力将沙粒结合在一起。本计画将进行混合流中颗粒间毛细力之基础研究。由毛细力约束的颗粒簇将被放置在定义明确的流动中,并使用自动流动控制的新方法进行研究。这项工作的目的是了解颗粒团簇的流动动力学及其稳定性的限制,这是指由于所施加的流团簇破裂的条件。在过去的十年中,表面张力诱导的颗粒聚集已被用于广泛的材料和材料加工应用,包括大孔陶瓷,3D打印,导电塑料和印刷电子电路。该项目的结果将使合理设计的混合操作,利用毛细管力开发新材料。在多相悬浮液含有颗粒和两个不混溶的液体,毛细管力可以诱导颗粒聚集。所述簇包括由弯月面液体结合的两个或更多个颗粒。在这个项目中,将使用视频显微镜和自动流量控制来研究简单剪切或平面拉伸流场中颗粒团簇的动力学和破裂机制。被称为斯托克斯阱的反馈控制微流体装置将用于使用粘性力精确地操纵颗粒,以创建定义明确的粒子束结合的颗粒簇,并使簇受到精确控制的流动。这项工作的目的是实现一个基本的了解的动力学和破裂的颗粒团在定义明确的流动。该项目将揭示全新的信息,包括粒子团破裂的标准,以及这些标准如何取决于团的组成,弯月面流体的粘度和粒子粗糙度。液/液/粒混合物的混合操作设计目前在本质上是经验性的。该项目将建立基于微观力学的设计规则,用于利用毛细力开发新材料的混合操作。该项目将成为培养研究生和本科生的基础。 两位主要研究者将在本科和大学预科阶段开展大量的外展活动,包括招募代表性不足的群体加入他们的研究小组,以及指导高中生。该奖项反映了NSF的法定使命,并被认为值得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来支持。

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)
Low viscosity liquid bridges: Stretching of liquid bridges immersed in a higher viscosity liquid
低粘度液桥:浸没在较高粘度液体中的液桥的拉伸
  • DOI:
    10.1016/j.jciso.2023.100079
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lopez, Ramon;Vaswani, Jovina;Butler, Dylan T.;McCarthy, Joseph;Velankar, Sachin S.
  • 通讯作者:
    Velankar, Sachin S.
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Lei Li其他文献

Combined optical and mechanical scanning in optical-resolution photoacoustic microscopy
光学分辨率光声显微镜中的光学和机械扫描相结合
  • DOI:
  • 发表时间:
    2014
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lei Li;Chenghung Yeh;Song Hu;Lidai Wang;Brian T. Soetikno;Ruimin Chen;Qifa Zhou;K. Shung;K. Maslov;Lihong V. Wang
  • 通讯作者:
    Lihong V. Wang
Two-stage multi-task deep learning framework for simultaneous pelvic bone segmentation and landmark detection from CT images
用于同时进行骨盆骨分割和 CT 图像标志检测的两阶段多任务深度学习框架
  • DOI:
    10.1007/s11548-023-02976-1
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Haoyu Zhai;Zhonghua Chen;Lei Li;Hairong Tao;Jinwu Wang;Kang Li;Moyu Shao;Xiaomin Cheng;Jing Wang;Xiang Wu;Chuansong Wu;Xiao Zhang;Lauri Kettunen;Hongkai Wang
  • 通讯作者:
    Hongkai Wang
Electrode Engineering in MoS2 MOSFET: Different Semiconductor/Metal Interfaces
MoS2 MOSFET 的电极工程:不同的半导体/金属界面
  • DOI:
    10.1002/aelm.202200513
  • 发表时间:
    2022-07
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Yang Li;Xisai Zhang;Xinpei Duan;Wencheng Niu;Shengjie Zhao;Xiaobo He;Hao Huang;Xingqiang Liu;Xuming Zou;Lei Li;Fukai Shan;Zhenyu Yang
  • 通讯作者:
    Zhenyu Yang
A Fast Fixed Point Continuation Algorithm with Application to Compressed Sensing
一种应用于压缩感知的快速定点连续算法
  • DOI:
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Qingqing Guo;Lei Li
  • 通讯作者:
    Lei Li
Prediction of fracture density using genetic algorithm support vector machine based on acoustic logging data
基于声波测井数据的遗传算法支持向量机预测裂缝密度
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    3.3
  • 作者:
    Tianyang Li;Ruihe Wang;Zizhen Wang;Mingyuan Zhao;Lei Li
  • 通讯作者:
    Lei Li

Lei Li的其他文献

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{{ truncateString('Lei Li', 18)}}的其他基金

PFI-TT: Novel ionic liquid lubricant for next-generation information storage technology
PFI-TT:用于下一代信息存储技术的新型离子液体润滑剂
  • 批准号:
    2329767
  • 财政年份:
    2023
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Continuing Grant
Conference: Funding Proposal for 2022 AAAI Doctoral Consortium
会议:2022年AAAI博士联盟资助提案
  • 批准号:
    2219627
  • 财政年份:
    2022
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant
FMSG: Shape-programmable elastic-plastic tubes as building blocks for origami
FMSG:形状可编程的弹塑管作为折纸的构建块
  • 批准号:
    2036164
  • 财政年份:
    2021
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant
Water wettability of floating graphene: Mechanism and Application
漂浮石墨烯的水润湿性:机理与应用
  • 批准号:
    2028826
  • 财政年份:
    2020
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant
Collaborative Research: Structure and Thermodynamics of Ionic Liquids at Solid Surfaces: the Return of Water
合作研究:固体表面离子液体的结构和热力学:水的返回
  • 批准号:
    1904486
  • 财政年份:
    2019
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant
CAREER: Mechanistic studies of the spore photoproduct lyase
职业:孢子光产物裂合酶的机理研究
  • 批准号:
    1454184
  • 财政年份:
    2015
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Continuing Grant
A Multiphase Printing Process for Freeform Optics Manufacturing
自由曲面光学制造的多阶段打印工艺
  • 批准号:
    1538439
  • 财政年份:
    2015
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant
Understanding the Mechanism of Simultaneous Oleophobic/Hydrophilic Behavior: When a Nanometer-Thick Polymer Coating meets a Solid Surface
了解同时疏油/亲水行为的机制:当纳米厚的聚合物涂层遇到固体表面时
  • 批准号:
    1233161
  • 财政年份:
    2012
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant
Role of microRNA-related Polymorphisms in Regulating Heterotic Gene Expression
microRNA相关多态性在调节杂种基因表达中的作用
  • 批准号:
    0922526
  • 财政年份:
    2009
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant
Estimating Parameters in Spike-convolution Models and Mixture Models
估计尖峰卷积模型和混合模型中的参数
  • 批准号:
    9971698
  • 财政年份:
    1999
  • 资助金额:
    $ 29.2万
  • 项目类别:
    Standard Grant

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