FMRG: Cyber: Manufacturing USA: NextG-Enabled Manufacturing of the Future (NextGEM)
FMRG:网络:美国制造:支持 NextG 的未来制造 (NextGEM)
基本信息
- 批准号:2328260
- 负责人:
- 金额:$ 299.96万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-06-01 至 2028-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Future smart manufacturing should be flexible, versatile, scalable, modular, and plug-and-play in contrast to the conventional static sequential manufacturing paradigm. This future manufacturing paradigm has stringent requirements of ultra-low latency, highly flexible connectivity, high reliability, and high computing intelligence. However, the current long end-to-end latency, limited flexibility, and the lack of computational intelligence in shop floors impose critical barriers to achieve such a future manufacturing paradigm. The advent of 5G and future 6G (NextG) wireless communication holds the key to overcome these challenging barriers and reshape future manufacturing fundamentally because NextG provides unique wireless communication capabilities of high flexibility, ultra-low latency, high speed, and high reliability to meet the demanding requirements in latency-critical manufacturing. This project will develop a NextG-enabled manufacturing (NextGEM) research framework, an open-access NextGEM cyberinfrastructure, and use-inspired testbeds to enable and demonstrate transformative manufacturing capabilities. The outcome of this project will not only advance the knowledge base of ultra-low latency manufacturing but also translate the enabling technologies into broad practice. The created knowledge, methods, and tools will transform a wide spectrum of latency-critical manufacturing sectors and other industries with similar challenges to realize significant business values such as improved operation efficiencies, reduced defects, and emerging new business models to drive growth. This project will also serve as a platform to broaden the participation of diverse groups including those from underrepresented minority groups in STEM to create the next generation of the digital manufacturing workforce. This is critical to ensure American manufacturing leadership at the forefront of Industry 4.0 economic growth and prosperity.The overarching goal of the proposed NextGEM is to empower latency-critical manufacturing by leveraging NextG wireless communication technologies. Building upon a trial 5G-enabled manufacturing platform at Rutgers, the project will: (1) create a NextGEM research framework to generate the knowledge of future manufacturing enabled by the new capabilities of NextG-enabled real-time sensing and communication, dynamics-informed meta-learning, and plug-and-play edge control; (2) create an open-access NextGEM cyberinfrastructure to provide the testbed, data, and software services for the end-user community to access, interoperate, and reuse; (3) facilitate education and workforce development to nurture and grow the next generation of talent to strengthen the global U.S. leadership in Industry 4.0; and (4) engage the diverse stakeholders to form a public-private innovation ecosystem to advance the knowledge base and develop enabling technologies for NextGEM. The project will help shape the future manufacturing landscape with the essence of intelligence, flexibility, mobility, versatility, and scalability.This Future Manufacturing award is supported by the Division of Electrical, Communications and Cyber Systems (ECCS) in the Directorate for Engineering (ENG), the Directorate for Technology, Innovation and Partnerships (TIP), and the Office of International Science and Engineering (OISE).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.
与传统的静态顺序制造范式相比,未来的智能制造应该是灵活的、多功能的、可扩展的、模块化的和即插即用的。这种未来的制造范式对超低延迟、高度灵活的连接、高可靠性和高计算智能有着严格的要求。然而,当前较长的端到端延迟、有限的灵活性以及车间缺乏计算智能,为实现这种未来制造范式带来了关键障碍。 5G和未来6G(NextG)无线通信的出现是克服这些挑战障碍并从根本上重塑未来制造业的关键,因为NextG提供了高灵活性、超低延迟、高速度和高可靠性的独特无线通信能力,以满足延迟关键制造领域的苛刻要求。该项目将开发一个支持 NextG 的制造 (NextGEM) 研究框架、一个开放访问的 NextGEM 网络基础设施以及受使用启发的测试台,以实现和展示变革性制造能力。该项目的成果不仅将推进超低延迟制造的知识库,还将使支持技术转化为广泛的实践。创建的知识、方法和工具将改变广泛的延迟关键型制造行业和其他面临类似挑战的行业,以实现重要的业务价值,例如提高运营效率、减少缺陷以及新兴的新业务模式以推动增长。该项目还将作为一个平台,扩大不同群体的参与,包括 STEM 中代表性不足的少数群体,以培养下一代数字制造劳动力。这对于确保美国制造业在工业 4.0 经济增长和繁荣的前沿保持领先地位至关重要。拟议的 NextGEM 的总体目标是通过利用 NextG 无线通信技术为延迟关键型制造业提供支持。该项目以罗格斯大学支持 5G 的试验性制造平台为基础,将:(1) 创建 NextGEM 研究框架,通过支持 NextG 的实时传感和通信、动态信息的新功能生成未来制造知识元学习和即插即用边缘控制; (2) 创建开放访问的 NextGEM 网络基础设施,为最终用户社区提供测试平台、数据和软件服务,以供访问、互操作和重用; (3) 促进教育和劳动力发展,以培养和成长下一代人才,从而加强美国在工业 4.0 领域的全球领导地位; (4) 让不同的利益相关者参与形成公私创新生态系统,以推进知识库并开发 NextGEM 的支持技术。该项目将帮助塑造具有智能、灵活性、移动性、多功能性和可扩展性本质的未来制造格局。该未来制造奖由工程理事会 (ENG) 电气、通信和网络系统 (ECCS) 部门支持)、技术、创新和合作理事会 (TIP) 以及国际科学与工程办公室 (OISE)。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进行评估,认为值得支持标准。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yuebin Guo其他文献
An Experimental Study on the Effect of Machining-Induced White Layer on Frictional and Wear Performance at Dry and Lubricated Sliding Contact
机加工白层对干润滑滑动接触摩擦磨损性能影响的实验研究
- DOI:
10.1080/10402000903283250 - 发表时间:
2009-12-23 - 期刊:
- 影响因子:2.1
- 作者:
Yuebin Guo;R. Waikar - 通讯作者:
R. Waikar
Mining Infrequent Itemsets Based on Extended MMS Model
基于扩展MMS模型的非频繁项集挖掘
- DOI:
10.1007/978-3-540-74282-1_22 - 发表时间:
2007-08-21 - 期刊:
- 影响因子:0
- 作者:
Xiangjun Dong;Gang Li;Hongguo Wang;Yuebin Guo;Yueyue Yang - 通讯作者:
Yueyue Yang
Electrochemical corrosion behavior of surface nanocrystallized steel and aluminum alloys by air blast shot peening (ABSP)
空气喷丸喷丸(ABSP)表面纳米晶钢和铝合金的电化学腐蚀行为
- DOI:
10.1109/isfa.2016.7790189 - 发表时间:
2016-12-16 - 期刊:
- 影响因子:0
- 作者:
R. Waikar;Yuebin Guo;J. F. Liu;Z. Y. Liu - 通讯作者:
Z. Y. Liu
Digital twins for electro-physical, chemical, and photonic processes
- DOI:
10.1016/j.cirp.2023.05.007 - 发表时间:
2023-05-01 - 期刊:
- 影响因子:0
- 作者:
Yuebin Guo;A. Klink;Paulo Bartolo;W. Guo - 通讯作者:
W. Guo
Nanomanufacturing—Perspective and applications
纳米制造——前景与应用
- DOI:
10.1016/j.cirp.2017.05.004 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Fengzhou Fang;Xiaodong Zhang;Wei Gao;Yuebin Guo;G. Byrne;H. N. Hansen - 通讯作者:
H. N. Hansen
Yuebin Guo的其他文献
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{{ truncateString('Yuebin Guo', 18)}}的其他基金
Collaborative Research: Fusion of Siloed Data for Multistage Manufacturing Systems: Integrative Product Quality and Machine Health Management
协作研究:多级制造系统的孤立数据融合:集成产品质量和机器健康管理
- 批准号:
2323083 - 财政年份:2024
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
Conference: Early-Career Researcher Travel Support for the 30th CIRP Life Cycle Engineering Conference May 15-17, 2023
会议:2023 年 5 月 15 日至 17 日第 30 届 CIRP 生命周期工程会议的早期职业研究员旅行支持
- 批准号:
2322400 - 财政年份:2023
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
CDS&E: Computation-Informed Learning of Melt Pool Dynamics for Real-Time Prognosis
CDS
- 批准号:
2152908 - 财政年份:2022
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
Collaborative Research: Specific Energy-Based Prognosis for Machining Surface Integrity through Integration of Process Physics and Machine Learning
合作研究:通过过程物理和机器学习的集成,基于特定能量的加工表面完整性预测
- 批准号:
2040358 - 财政年份:2021
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
Electrical Discharge Machining of Biomedical Nitinol Alloys and the Resulting Fundamental Relationship of Microstructure-Property-Function
生物医用镍钛诺合金的放电加工及其微观结构-性能-功能的基本关系
- 批准号:
1234696 - 财政年份:2012
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
Hybrid Dry Cutting - Finish Burnishing of Novel Biodegradable Magnesium-Calcium Implants for Superior Corrosion Performance
混合干切削 - 新型可生物降解镁钙植入物的精加工抛光,具有卓越的腐蚀性能
- 批准号:
1000706 - 财政年份:2010
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
GOALI: Six-Sigma Based Robust Process Design Under Tool Deterioration for Giga Fatigue Life of Precision Machined Components in Hard Turning
GOALI:基于 6-Sigma 的稳健工艺设计,在刀具磨损情况下实现硬车削中精密加工部件的千兆疲劳寿命
- 批准号:
0825780 - 财政年份:2008
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
Fabrication, Property and Function of the Nanostructured Surface Barrier for Hydrogen Storage
储氢纳米结构表面势垒的制备、性能和功能
- 批准号:
0700468 - 财政年份:2007
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
Collaborative Research: Massive Parallel Laser Direct-Write of Sub-micron Dent Array for Quantum Leap of Fatigue Performance
合作研究:大规模并行激光直写亚微米凹痕阵列,实现疲劳性能的量子飞跃
- 批准号:
0555269 - 财政年份:2006
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
CAREER: A Fundamental Study on Hard Turning - Prediction and Synthesis of Surface Integrity and Component Life
职业生涯:硬车削的基础研究 - 表面完整性和零件寿命的预测和综合
- 批准号:
0447452 - 财政年份:2005
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
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相似海外基金
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FMRG:网络:美国制造:通过制造、人工智能和材料科学的融合实现按需制造材料
- 批准号:
2328395 - 财政年份:2024
- 资助金额:
$ 299.96万 - 项目类别:
Standard Grant
FMRG: Cyber: Manufacturing USA: Material-on-demand manufacturing through convergence of manufacturing, AI and materials science
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2328160 - 财政年份:2023
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$ 299.96万 - 项目类别:
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