IUCRC Planning Grant: Georgia Tech: Center for Digital Factory Innovations (CDFI)

IUCRC 规划拨款:佐治亚理工学院:数字工厂创新中心 (CDFI)

基本信息

  • 批准号:
    2113821
  • 负责人:
  • 金额:
    $ 2万
  • 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:
    2021-07-01 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

The objective of this planning grant is to organize and plan for the establishment of an IUCRC Center for Digital Factory Innovations (CDFI). Funding will support an industry-focused workshop to gather input regarding the critical role that sensors, connectivity, automation, and enterprise models, along with machine learning and big data technologies, can play in transforming advanced manufacturing in the US. The Internet of Things for Manufacturing (IoTfM) harvests capabilities to enable the digital factory and drives sustained performance improvements in manufacturing. Interconnected, self-aware factories and processes that manufacture products through automation and intelligent human-machine interactions are envisioned. Consistent with this vision, the proposed center’s long-term objective is to catalyze IoTfM advancement and adoption by providing pre-competitive, fundamental knowledge to industry for the purposes of improved product performance, enhanced productivity, work force development, and economic growth. Collaborators at the University of New Hampshire (UNH), North Carolina State University (NCSU), and Georgia Institute of Technology (GT) will join to create this new center. The proposed planning meeting will focus on critical knowledge gaps in four thrust areas: 1) Self-aware processes that contribute integrated sensors and accompanying adaptive, cloud-based optimization and control systems for processes such as machining, forming and robotics; 2) Augmented artificial intelligence (AI) that promotes human-machine cooperation in a cyber-physical system environment for applications such as discrete processes and cobots; 3) Protocols and interoperability that assure seamless, wireless connectivity in communication platforms with time-sensitive networks and the secure transfer of data within the digital factory environment; and 4) Self-organizing systems that represent an alternative way of organizing factory operations for increased flexibility, reconfigurability and robustness in contrast to highly centralized approaches. CDFI envisions a forum for collaborations among academic, industrial, national laboratory, and international researchers and a vehicle for educating the next generation of scientists and engineers in this industrial focus area.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.
该规划拨款的目的是组织和规划建立 IUCCRC 数字工厂创新中心 (CDFI)。资金将支持一个以行业为中心的研讨会,收集有关传感器、连接、自动化和企业模型以及机器学习和大数据技术在美国先进制造业转型中可以发挥的关键作用的意见。制造业物联网 (IoTfM) 收获了支持数字工厂的能力,并推动制造业绩效的持续改进。设想通过自动化和智能人机交互来制造产品的互连、自我意识工厂和流程。与这一愿景相一致,拟议中心的长期目标是通过向行业提供竞争前的基础知识来促进 IoTfM 的进步和采用,以提高产品性能、提高生产力、劳动力发展和经济增长。新罕布什尔大学 (UNH)、北卡罗来纳州立大学 (NCSU) 和佐治亚理工学院 (GT) 的合作者将共同创建这个新中心。拟议的规划会议将重点关注四个重点领域的关键知识差距:1)自我意识流程,为加工、成型和机器人等流程提供集成传感器和配套的自适应、基于云的优化和控制系统; 2)增强人工智能(AI),促进网络物理系统环境中的人机合作,适用于离散流程和协作机器人等应用; 3)协议和互操作性,确保通信平台与时间敏感网络的无缝无线连接以及数字工厂环境中数据的安全传输; 4)自组织系统代表了组织工厂运营的另一种方式,与高度集中的方法相比,它提高了灵活性、可重新配置性和稳健性。 CDFI 设想为学术界、工业界、国家实验室和国际研究人员之间的合作提供一个论坛,并为教育该工业重点领域的下一代科学家和工程师提供一个平台。该奖项反映了 NSF 的法定使命,并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,被认为值得支持。

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
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Christopher Saldana其他文献

Effects of lead and lean in multi-axis directed energy deposition
  • DOI:
    10.1007/s00170-023-11085-x
  • 发表时间:
    2023-02-13
  • 期刊:
  • 影响因子:
    3.100
  • 作者:
    Omar Elsayed;Venkata Surya Karthik Adapa;Samuel Kersten;Derek Vaughan;Christopher Masuo;Myong Joon Kim;Thomas Feldhausen;Christopher Saldana;Thomas Kurfess
  • 通讯作者:
    Thomas Kurfess
Effect of threshold parameters on infrared segmentation methods for porosity detection in electron beam powder bed fusion
阈值参数对电子束粉末床熔合中孔隙率检测的红外分割方法的影响
  • DOI:
    10.1016/j.jmapro.2025.06.027
  • 发表时间:
    2025-09-15
  • 期刊:
  • 影响因子:
    6.800
  • 作者:
    Brian Johnstone;Jaime Berez;Caroline Massey;Elliott Jost;Christopher Saldana;Katherine Fu
  • 通讯作者:
    Katherine Fu
Effects of deposition - strategy - induced raster gaps and infill voids on the compressive strength of 3D printed isogrid structures
  • DOI:
    10.1016/j.mfglet.2021.12.001
  • 发表时间:
    2022-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Alan Mauricio Guajardo-Trevino;Horacio Ahuett-Garza;Pedro Orta-Castanon;Pedro Daniel Urbina-Coronado;Christopher Saldana;Thomas R. Kurfess
  • 通讯作者:
    Thomas R. Kurfess
Incipient straining in severe plastic deformation methods
  • DOI:
    10.1557/jmr.2014.26
  • 发表时间:
    2014-03-01
  • 期刊:
  • 影响因子:
    2.900
  • 作者:
    Fei Du;Shwetabh Yadav;Cesar Moreno;Tejas Gorur Murthy;Christopher Saldana
  • 通讯作者:
    Christopher Saldana

Christopher Saldana的其他文献

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{{ truncateString('Christopher Saldana', 18)}}的其他基金

Collaborative Research: A Virtual and Active Learning Approach to Digital Manufacturing Education for the Future of Manufacturing Workforce
协作研究:面向制造业劳动力未来的数字化制造教育的虚拟主动学习方法
  • 批准号:
    2142051
  • 财政年份:
    2022
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
Collaborative Research: Hybrid-Compatible Deformation Processing of Performance Critical Components
合作研究:性能关键部件的混合兼容变形处理
  • 批准号:
    1825640
  • 财政年份:
    2018
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
Collaborative Research: Deformation Phenomena in Surface Texturing by Machining-Based Processes
合作研究:基于机械加工的表面纹理化变形现象
  • 批准号:
    1465158
  • 财政年份:
    2014
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
CAREER: Deformation-Based Surface Generation for Microstructure Control
职业:用于微结构控制的基于变形的表面生成
  • 批准号:
    1464853
  • 财政年份:
    2014
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
CAREER: Deformation-Based Surface Generation for Microstructure Control
职业:用于微结构控制的基于变形的表面生成
  • 批准号:
    1254818
  • 财政年份:
    2013
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
Collaborative Research: Deformation Phenomena in Surface Texturing by Machining-Based Processes
合作研究:基于机械加工的表面纹理化变形现象
  • 批准号:
    1130852
  • 财政年份:
    2011
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant

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