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.
与传统的静态静态序列制造范式相比,未来的智能制造应具有灵活,多功能,可扩展性,模块化和插入式插件。这种未来的制造范式对超低潜伏期,高度灵活的连接,高可靠性和高计算智能的要求有严格的要求。但是,当前的长端到端延迟,有限的灵活性以及在商店地板中缺乏计算智能,施加了关键的障碍,以实现这种未来的制造范式。 5G和Future 6G(NextG)无线通信的出现是克服这些具有挑战性的障碍并从根本上重塑未来制造的关键,因为NextG提供了高灵活性,超低潜伏期,高速和高可靠性,可满足延迟至关重要的临界生产要求的独特无线通信能力。该项目将开发一个启用了Nextg的制造(NextGEM)研究框架,开放式访问NextGem Cyberinfradstructure和使用使用的测试床,以启用和展示变革性的制造能力。该项目的结果不仅将推进超低潜伏期制造的知识基础,而且还将将启示技术转化为广泛实践。创建的知识,方法和工具将改变广泛的关键潜伏期制造业和其他具有类似挑战的行业,以实现重要的业务价值,例如提高的运营效率,降低的缺陷以及新兴的新业务模型以推动增长。该项目还将作为一个平台,以扩大各种群体的参与,包括来自代表性不足的少数群体的群体,以创建下一代数字制造业劳动力。这对于确保在行业4.0经济增长和繁荣的最前沿的美国制造业领导力至关重要。拟议的NextGem的总体目标是通过利用Nextg无线通信技术来增强关键延迟制造业的能力。在Rutgers的试验5G制造平台的基础上,该项目将:(1)创建一个NextGem研究框架,以生成由Next Next启用的实时传感和动态的元元学习的新功能,以及插件和播放边缘控制的知识; (2)创建开放式访问NextGem CyberinFrastructure,为最终用户社区提供测试台,数据和软件服务,以访问,互操作和重复使用; (3)促进教育和劳动力发展,以培养和发展下一代人才,以增强美国在行业4.0方面的全球领导力; (4)让多样化的利益相关者组成一个公私创新生态系统,以促进知识库并为NextGem开发启用技术。该项目将通过智能,灵活性,流动性,多功能性和可伸缩性的本质来帮助塑造未来的制造格局。该未来的制造奖由电气,通信和网络系统(ECCS)在工程局(ENG)的电气,通信和网络系统(ECC)(ENG),技术,创新和合作伙伴(提示)和国际科学和工具(Ondersions of Senteriations and Senteriation)(Engriens)(ENG)局(ENG)局(ENSIS)(ENG)(ECCS)(O. ISSERITIAN)(OSISE)(OSISE)(OSISE)。使用基金会的知识分子优点和更广泛的审查标准,通过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)
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
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 - 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
Study on Diamond Cutting of Ion Implanted Tungsten Carbide With and Without Ultrasonic Vibration
- DOI:
10.1007/s41871-019-00042-6 - 发表时间:
2019-09-01 - 期刊:
- 影响因子:0
- 作者:
Jinshi Wang;Fengzhou Fang;Yuebin Guo - 通讯作者:
Yuebin Guo
Explainable AI for layer-wise emission prediction in laser fusion
- DOI:
10.1016/j.cirp.2023.03.009 - 发表时间:
2023-01-01 - 期刊:
- 影响因子:
- 作者:
Weihong “Grace” Guo;Vidita Gawade;Bi Zhang;Yuebin Guo - 通讯作者:
Yuebin Guo
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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