Collaborative Research: Engineering Gradient Nanostructured Metals by Multi-Pass Plastic Wave Deformation

合作研究:通过多通道塑性波变形工程梯度纳米结构金属

基本信息

  • 批准号:
    2102093
  • 负责人:
  • 金额:
    $ 15.5万
  • 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 2024-09-30
  • 项目状态:
    已结题

项目摘要

This award supports research to understand a novel and scalable surface deformation process for enabling controlled creation of gradient nanocrystalline microstructures in metals. Gradient nanostructured metals are a new class of structural materials that possess superior combination of strength and ductility, when compared to the conventional coarse-grained metals or bulk nanostructured metals. The research specifically aims to overcome major processing barriers in generating metal surfaces with controlled spatial grain-size gradients by investigating a novel deformation process that utilizes controlled propagation of surface plastic “waves”. The research will have bearing on the U.S. manufacturing industry by providing the scientific knowledge to efficiently manufacture this new class of materials with performance benefits across a wide range of critical applications, including in automotive and aerospace. Education-related impacts of the project include training of graduate students in deformation-based processing methods via internships at national labs, materials processing curriculum development to enhance undergraduate and graduate education, and development of visualization-based tools for materials manufacturing education to foster widespread interest in STEM-related fields.The project seeks to investigate two material modification processes: the ability to control subsurface strain distribution over large surfaces through repeated creation and propagation of plastic waves across the metal surface; and the ability to engineer surfaces with tunable grain size gradients and nanostructured layer thickness via control of the subsurface strain distribution. To achieve these goals, an interdisciplinary team from multiple institutions will engage in collaborative research in the following areas: (1) in-situ analysis of surface plastic flow and surface strain mapping, (2) deformation-microstructure correlations, (3) predictive modeling of surface plasticity and microstructure evolution under extreme plastic strains and strain gradients, and (4) mechanical property characterization. Taken together, these research activities will help establish a thorough scientific understanding of the process-microstructure-property relationships essential for realizing gradient nanostructured metals and metal surfaces in a scalable manner.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.
该奖项支持研究,以了解一种新的和可扩展的表面变形过程,使金属梯度纳米晶微结构的可控创建。梯度纳米结构金属是一种新型的结构材料,与传统的粗晶金属或块状纳米结构金属相比,它具有上级的强度和延展性。该研究的具体目的是通过研究一种利用表面塑性“波”的受控传播的新型变形过程,克服在生成具有受控空间粒度梯度的金属表面时的主要加工障碍。该研究将通过提供科学知识来有效地制造这种新型材料,从而在包括汽车和航空航天在内的各种关键应用中获得性能优势,从而对美国制造业产生影响。该项目的教育相关影响包括通过在国家实验室实习培训研究生掌握基于变形的加工方法,开发材料加工课程以加强本科生和研究生教育,以及开发基于可视化的材料制造教育工具以培养对STEM相关领域的广泛兴趣。该项目旨在研究两种材料改性过程:通过在金属表面上重复产生和传播塑性波来控制大表面上的次表面应变分布的能力;以及通过控制次表面应变分布来设计具有可调晶粒尺寸梯度和纳米结构层厚度的表面的能力。为了实现这些目标,来自多个机构的跨学科团队将在以下领域开展合作研究:(1)表面塑性流动和表面应变映射的原位分析,(2)变形-微观结构相关性,(3)极端塑性应变和应变梯度下表面塑性和微观结构演变的预测建模,以及(4)机械性能表征。总之,这些研究活动将有助于建立对工艺-微观结构-性能关系的全面科学理解,这对于以可扩展的方式实现梯度纳米结构金属和金属表面至关重要。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

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Lei Chen其他文献

Energy-Saving Potential of Thermal Diode Tank Assisted Refrigeration and Air-Conditioning Systems
热二极管罐辅助制冷和空调系统的节能潜力
  • DOI:
    10.3390/en15010206
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Mingzhen Wang;E. Hu;Lei Chen
  • 通讯作者:
    Lei Chen
Travel Recommendation via Fusing Multi-Auxiliary Information into Matrix Factorization
矩阵分解融合多辅助信息的旅游推荐
Label distribution learning with noisy labels via three-way decisions
通过三向决策使用噪声标签进行标签分布学习
Efficient Transmission in Multiantenna Two-Way AF Relaying Networks
多天线双向AF中继网络的高效传输
  • DOI:
    10.1109/tvt.2018.2791472
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    6.8
  • 作者:
    Jing Yang;Lei Chen;Xianfu Lei;Zhiguo Ding;Pingzhi Fan;Xiqi Gao
  • 通讯作者:
    Xiqi Gao
Hybrid Noise-Oriented Multilabel Learning
面向混合噪声的多标签学习
  • DOI:
    10.1109/tcyb.2019.2894985
  • 发表时间:
    2020-06
  • 期刊:
  • 影响因子:
    11.8
  • 作者:
    Changqing Zhang;Ziwei Yu;Huazhu Fu;Pengfei Zhu;Lei Chen;Qinghua Hu
  • 通讯作者:
    Qinghua Hu

Lei Chen的其他文献

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

CAREER: Rigidity in Mapping class groups and homeomorphism groups
职业:映射类群和同胚群中的刚性
  • 批准号:
    2339110
  • 财政年份:
    2024
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Continuing Grant
MRI: Track 1 Acquisition of an Accelerating Rate Calorimeter System for Multidisciplinary Research, Education and Outreach
MRI:轨道 1 采购加速量热计系统,用于多学科研究、教育和推广
  • 批准号:
    2320171
  • 财政年份:
    2023
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Fundamental understanding of interface dynamics in solid electrolyte batteries with liquid metal anode
合作研究:对液态金属阳极固体电解质电池界面动力学的基本了解
  • 批准号:
    2323475
  • 财政年份:
    2023
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Standard Grant
Mapping Class Groups and Transformation Groups
映射类组和转换组
  • 批准号:
    2203178
  • 财政年份:
    2021
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Standard Grant
Mapping Class Groups and Transformation Groups
映射类组和转换组
  • 批准号:
    2005409
  • 财政年份:
    2020
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Tuning Properties of Bi-Continuous Piezoelectric Composites via Additive Manufacturing
合作研究:通过增材制造调整双连续压电复合材料的性能
  • 批准号:
    2020527
  • 财政年份:
    2019
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Tuning Properties of Bi-Continuous Piezoelectric Composites via Additive Manufacturing
合作研究:通过增材制造调整双连续压电复合材料的性能
  • 批准号:
    1826100
  • 财政年份:
    2018
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Standard Grant
Collaborative Research: Dynamics of chalcogenide-doped high capacity lithium-ion battery anode materials during cycling using in situ imaging
合作研究:利用原位成像研究硫属化物掺杂高容量锂离子电池负极材料在循环过程中的动力学
  • 批准号:
    1604104
  • 财政年份:
    2016
  • 资助金额:
    $ 15.5万
  • 项目类别:
    Standard Grant

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