Collaborative Research: HCC: Medium: Computational Design of Complex Fluidic Systems

合作研究:HCC:媒介:复杂流体系统的计算设计

基本信息

  • 批准号:
    2106733
  • 负责人:
  • 金额:
    $ 40万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2025-09-30
  • 项目状态:
    未结题

项目摘要

Recent advances in digital fabrication and computational design optimization have created a new paradigm for how efficiently components of structures, vehicles and wearable devices can be imagined, prototyped and deployed. An additional opportunity for high-impact innovation stems from the plethora of devices incorporating both solid and fluid components that human engineers have traditionally crafted relying on experience and established designed practices; examples include jet engines, hydraulic pumps, filtration systems and medical implants such as heart valves and coronary stents, all of which rely on a delicate functional interaction between a solid, often elastic, structure and a fluid medium. This project will leverage research momentum and experience from computational design optimization of purely solid, elastic structures (that have been the dominant focus of such techniques until now), to extend the reach of optimization-driven design to fluid- and flow-modulating mechanisms. Project outcomes will ultimately fuel innovation in energy efficiency, boost the functionality of soft robotic platforms, and enable the creation of next-generation microfluidic mechanisms including in highly effective prosthetics. Additional broad impact for project outcomes will derive from the development of exciting new curricula at the host institutions, while the real-world appeal and applications will provide strong outreach opportunities to K-12 and community colleges that attract students to STEM careers.This research focuses on a number of specific challenges associated with functional devices that incorporate fluidic components. Non-linearity of both the solid/compliant phase and the dynamics of the fluid flow is highly relevant to such design tasks and will be treated as an integral component of algorithmic exploration. Non-parametric design approaches that are free to create accurate geometric details and intricate topological features will be explored, and the design of dynamic systems that include periodic or chaotic motion or flow, in conjunction with transient contact/collision patterns, will be investigated. The work will build on the PIs' prior products and expertise in delivering computational design frameworks that can handle tens or hundreds of millions of degrees of freedom, so that project outcomes can accommodate the specification of multiple design objectives stemming from multiple flow scenarios and/or multiple functional traits that contribute to the overall design. The research will develop methods and a scalable computational framework that jointly address these challenges, which is essential to delivering an effective and versatile design platform for fluidic mechanisms.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.
数字制造和计算设计优化的最新进展为如何有效地想象、原型化和部署结构、车辆和可穿戴设备的组件创造了新的范例。高影响力创新的另一个机会来自于大量包含固体和流体组件的设备,人类工程师传统上依靠经验和既定的设计实践来制作这些设备;例子包括喷气发动机、液压泵、过滤系统和医疗植入物如心脏瓣膜和冠状动脉支架,所有这些都依赖于固体,通常是弹性的,结构和流体介质。该项目将利用纯固体弹性结构的计算设计优化的研究动力和经验(到目前为止,这一直是此类技术的主要焦点),将优化驱动设计的范围扩展到流体和流量调节机制。项目成果将最终推动能源效率的创新,提高软机器人平台的功能,并实现下一代微流体机制的创建,包括高效的假肢。项目成果的其他广泛影响将来自主办机构令人兴奋的新课程的开发,而现实世界的吸引力和应用将为K-12和社区大学提供强大的推广机会,吸引学生进入STEM职业。这项研究重点关注与包含流体组件的功能设备相关的一些具体挑战。 固体/顺应相和流体流动的动态的非线性与这样的设计任务高度相关,并且将被视为算法探索的不可分割的组成部分。 非参数设计方法,可以自由地创建准确的几何细节和复杂的拓扑特征将被探索,并动态系统,包括周期性或混沌运动或流动,结合瞬态接触/碰撞模式的设计将被研究。 这项工作将建立在PI之前的产品和专业知识的基础上,提供可以处理数千万或数亿自由度的计算设计框架,以便项目成果可以适应多个设计目标的规范,这些目标来自于多个流程场景和/或有助于整体设计的多个功能特性。该研究将开发方法和一个可扩展的计算框架,共同应对这些挑战,这是必不可少的提供一个有效的和多功能的设计平台的流体mechanism.This奖项反映了NSF的法定使命,并已被认为是值得的支持,通过评估使用基金会的智力价值和更广泛的影响审查标准。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Hydrophobic and Hydrophilic Solid-Fluid Interaction
  • DOI:
    10.1145/3550454.3555478
  • 发表时间:
    2022-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jinyuan Liu;Mengdi Wang;Fan Feng;Annie Tang;Qiqin Le;Bo Zhu
  • 通讯作者:
    Jinyuan Liu;Mengdi Wang;Fan Feng;Annie Tang;Qiqin Le;Bo Zhu
Cellular topology optimization on differentiable Voronoi diagrams
  • DOI:
    10.1002/nme.7121
  • 发表时间:
    2022-04
  • 期刊:
  • 影响因子:
    2.9
  • 作者:
    F. Feng;S. Xiong;Ziyue Liu;Zangyueyang Xian;Yuqing Zhou;Hiroki Kobayashi;A. Kawamoto;T. Nomura-T.-Nomu
  • 通讯作者:
    F. Feng;S. Xiong;Ziyue Liu;Zangyueyang Xian;Yuqing Zhou;Hiroki Kobayashi;A. Kawamoto;T. Nomura-T.-Nomu
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
  • DOI:
    10.48550/arxiv.2303.02346
  • 发表时间:
    2023-03
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhou Xian;Bo Zhu;Zhenjia Xu;H. Tung;A. Torralba;Katerina Fragkiadaki;Chuang Gan
  • 通讯作者:
    Zhou Xian;Bo Zhu;Zhenjia Xu;H. Tung;A. Torralba;Katerina Fragkiadaki;Chuang Gan
Learning Vortex Dynamics for Fluid Inference and Prediction
  • DOI:
    10.48550/arxiv.2301.11494
  • 发表时间:
    2023-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yitong Deng;Hong-Xing Yu;Jiajun Wu;Bo Zhu
  • 通讯作者:
    Yitong Deng;Hong-Xing Yu;Jiajun Wu;Bo Zhu
A marker-and-cell method for large-scale flow-based topology optimization on GPU
GPU 上大规模基于流的拓扑优化的标记和单元方法
  • DOI:
    10.1007/s00158-022-03214-z
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    3.9
  • 作者:
    Liu, Jinyuan;Xian, Zangyueyang;Zhou, Yuqing;Nomura, Tsuyoshi;Dede, Ercan M.;Zhu, Bo
  • 通讯作者:
    Zhu, Bo
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Bo Zhu其他文献

Origin and Regioselectivity of Direct Hydrogen Atom Transfer Mechanism of C(sp3)−H Arylation by [W10O32]4−/Ni Metallaphotoredox Catalysis
[W10O32]4-/Ni金属光氧化还原催化C(sp3)-H芳基化直接氢原子转移机制的起源和区域选择性
  • DOI:
    10.1021/acs.inorgchem.1c02118
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    4.6
  • 作者:
    Yu-Jiao Dong;Bo Zhu;Yu-Jie Liang;Wei Guan;Zhong-Min Su
  • 通讯作者:
    Zhong-Min Su
Trust Establishment in Large Scale Grid Settings
大规模网格设置中的信任建立
Efficient and robust key management for large mobile ad hoc networks
适用于大型移动自组织网络的高效、稳健的密钥管理
  • DOI:
    10.1016/j.comnet.2004.11.023
  • 发表时间:
    2005
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bo Zhu;F. Bao;R. Deng;M. Kankanhalli;Guilin Wang
  • 通讯作者:
    Guilin Wang
Providing efficient certification services against active attacks in ad hoc networks
针对自组织网络中的主动攻击提供高效的认证服务
Radical chemistry in the Pearl River Delta: observations and modeling of OH and HO2 radicals in Shenzhen in 2018
珠江三角洲的自由基化学:2018年深圳OH和HO2自由基的观测和模拟
  • DOI:
    10.5194/acp-22-12525-2022
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    6.3
  • 作者:
    Xinping Yang;Keding Lu;Xuefei Ma;Yue Gao;Zhaofeng Tan;Haichao Wang;Xiaorui Chen;Xin Li;Xiaofeng Huang;Lingyan He;Mengxue Tang;Bo Zhu;Shiyi Chen;Huabin Dong;Limin Zeng;Yuanhang Zhang
  • 通讯作者:
    Yuanhang Zhang

Bo Zhu的其他文献

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{{ truncateString('Bo Zhu', 18)}}的其他基金

Collaborative Research: HCC: Medium: Aerodynamic Virtual Human Simulation on Face, Body, and Crowd
合作研究:HCC:媒介:面部、身体和人群的空气动力学虚拟人体模拟
  • 批准号:
    2313075
  • 财政年份:
    2023
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant
CAREER: Computational Infrastructures for Simulating Hygiene-Related Fluid Phenomena
职业:用于模拟卫生相关流体现象的计算基础设施
  • 批准号:
    2420319
  • 财政年份:
    2023
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant
CAREER: Computational Infrastructures for Simulating Hygiene-Related Fluid Phenomena
职业:用于模拟卫生相关流体现象的计算基础设施
  • 批准号:
    2144806
  • 财政年份:
    2022
  • 资助金额:
    $ 40万
  • 项目类别:
    Continuing Grant
IRES Track I: Computational Co-Design of Physical Systems with Embodied Intelligence by Integrating Data, Simulation, and User Interface
IRES Track I:通过集成数据、仿真和用户界面,实现具有体现智能的物理系统的计算协同设计
  • 批准号:
    2153560
  • 财政年份:
    2022
  • 资助金额:
    $ 40万
  • 项目类别:
    Standard Grant

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Research on Quantum Field Theory without a Lagrangian Description
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    24ZR1403900
  • 批准年份:
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Cell Research
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Cell Research (细胞研究)
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    30824808
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    2008
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    24.0 万元
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    专项基金项目
Research on the Rapid Growth Mechanism of KDP Crystal
  • 批准号:
    10774081
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    2007
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    45.0 万元
  • 项目类别:
    面上项目

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合作研究:HCC:媒介:使机器人表示与人类保持一致
  • 批准号:
    2310757
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    $ 40万
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Collaborative Research: HCC: Small: Bridging Research and Visualization Design Practice via a Sustainable Knowledge Platform
合作研究:HCC:小型:通过可持续知识平台桥接研究和可视化设计实践
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合作研究:NSF-CSIRO:HCC:小型:了解预测传染病传播的 AI 模型中的偏差
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