Collaborative Research: IRES Track II: Short Courses on Manufacturing Frontiers Leveraging Unique Facilities in Italy

合作研究:IRES Track II:利用意大利独特设施的制造前沿短期课程

基本信息

  • 批准号:
    2246808
  • 负责人:
  • 金额:
    $ 17.93万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-07-01 至 2027-06-30
  • 项目状态:
    未结题

项目摘要

The Advanced Studies Institute (ASI) will take place in northern Italy, including the cities of Milan, Turin, Bologna, and Modena, where a strong and resilient manufacturing sector resides. As evidenced in recent years, a resilient manufacturing sector is critical for coping with an international supply chain disruption. In addition, a strong manufacturing sector is essential to economic prosperity and national security as it generates employment and wealth while encouraging research and technological innovation. The ASI will help prepare an advanced manufacturing workforce for the United States to succeed in an increasingly competitive global market. The ASI will promote collaborative and global thinking and prepare the participating students to become more comfortable with international collaborations. The ASI will also expose participating students to emerging manufacturing technologies, as well as strong bridges between fundamental research and industrial applications. Novel technologies and manufacturing processes or systems resulting from the workforce development and international collaborative research will lead to long-term economic benefits for both the U.S. and Italy. The ASI will help train the next generation of American manufacturing leaders who can leverage the global resources to contribute to a more resilient U.S. economy. The Advanced Studies Institute (ASI) leverages the unique facilities in Italy to train U.S. manufacturing engineering students and foster innovative research ideas. Italy’s strong manufacturing sector embraces emerging technologies that are the building blocks of Industry 4.0, or the Fourth Industrial revolution. Industry 4.0 transforms a physical model of manufacturing to a digital one, creating “smart factories” and introducing digital business models. The ASI is comprised of eight short courses with each course covering one emerging technology of Industry 4.0: (1) advanced processes and robotics, (2) horizontal and vertical integration, (3) Internet of Things, (4) simulation, (5) advanced machining, (6) augmented and virtual reality, (7) additive manufacturing, and (8) big data and cloud computing. Short courses are complemented by factory tours, research discussions, and short-term projects. There will be 15 U.S. graduate students participating in the ASI each year, totaling 30 students for the two-year duration of the project. Each ASI student will be in Italy for 15 days. The key Italian partners are eight world-class researchers. They will teach short courses, moderate discussion sessions, recruit and select the Italian students to join the U.S. students, as well as mentor all ASI students. Other Italian partners include three research labs that will host visits from the ASI students, the Italian Association of Manufacturing Technologies that will work with its member companies to arrange factory tours, and ten companies that will offer factory tours. Overall, students will have access to a unique research environment in Italy where both universities and industries facilitate the maturity of research projects into commercialization.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.
高级研究所(ASI)将在意大利北部举行,包括米兰,都灵,博洛尼亚和摩德纳的城市,那里有一个强大而依赖的制造业部门。正如近年来所证明的那样,依赖的制造业对于应对国际供应链破坏至关重要。此外,强大的制造业对经济繁荣和国家安全至关重要,因为它会在鼓励研究和技术创新的同时产生就业和财富。 ASI将帮助为美国在竞争激烈的全球市场中取得成功的高级制造业劳动力。 ASI将促进合作和全球思维,并准备参与的学生对国际合作变得更加满意。 ASI还将使参与的学生接触新兴的制造技术,以及基本研究与工业应用之间的强大桥梁。由劳动力发展和国际合作研究产生的新技术和制造过程或制造过程或系统将为美国和意大利带来长期的经济利益。 ASI将帮助培训下一代美国制造业领导人,他们可以利用全球资源来为更依赖的美国经济做出贡献。高级研究所(ASI)利用意大利独特的设施来培训美国制造工程专业的学生并培养创新的研究思想。意大利强大的制造业采用了新兴技术,即工业4.0或第四次工业革命的基础。行业4.0将制造的物理模型转换为数字化的制造业,创建“智能工厂”并引入数字业务模型。 ASI由八门简短课程组成,每门课程涵盖了一项新兴的行业技术4.0:(1)高级过程和机器人技术,(2)水平和垂直整合,(3)物联网,(4)模拟,(5)高级加工,(5)高级加工,(6)(6)增强和虚拟现实,(7)添加剂制造和(8)大数据和大数据和complecting。短课程是由工厂参观,研究讨论和短期项目完成的。每年将有15名美国研究生参加ASI,在该项目的两年期间,总计30名学生。每个ASI学生将在意大利呆15天。意大利关键合作伙伴是八位世界一流的研究人员。他们将教短课程,适度的讨论会议,招募并选择意大利学生加入美国学生以及精神上的所有ASI学生。其他意大利合作伙伴包括三个研究实验室,这些研究实验室将接待来自ASI学生的访问,即意大利制造技术协会,这些技术将与其成员公司合作以安排工厂旅行,并提供10家提供工厂旅行的公司。总体而言,学生将可以在意大利获得独特的研究环境,在该环境中,大学和行业都促进了研究项目的成熟到商业化。该奖项反映了NSF的法定任务,并通过使用基金会的知识分子和更广泛的影响评估标准来通过评估来通过评估来获得珍贵的支持。

项目成果

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Sarah Wolff其他文献

Separation of Variables and the Computation of Fourier Transforms on Finite Groups, II
变量分离和有限群上傅里叶变换的计算,II
Computational Bounds for Doing Harmonic Analysis on Permutation Modules of Finite Groups
对有限群置换模进行调和分析的计算界限
  • DOI:
    10.1007/s00041-021-09886-3
  • 发表时间:
    2019
  • 期刊:
  • 影响因子:
    1.2
  • 作者:
    Michael Hansen;Masanori Koyama;Matthew B. A. McDermott;Michael E. Orrison;Sarah Wolff
  • 通讯作者:
    Sarah Wolff
A VIBRATION-ASSISTED POWDER DELIVERY SYSTEM FOR ADDITIVE MANUFACTURING - An experimental investigation -
用于增材制造的振动辅助粉末输送系统 - 实验研究 -
  • DOI:
    10.1016/j.addma.2020.101170
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    11
  • 作者:
    Hao Wu;David Pritchet;Sarah Wolff;Jian Cao;Kornel Ehmann;Ping Zou
  • 通讯作者:
    Ping Zou
Asymptotic Growth of Associated Primes of Certain Graph Ideals
某些图理想的关联素数的渐近增长
  • DOI:
    10.1080/00927872.2012.756885
  • 发表时间:
    2012
  • 期刊:
  • 影响因子:
    0.7
  • 作者:
    Sarah Wolff
  • 通讯作者:
    Sarah Wolff
The Efficient Computation of Fourier Transforms on Semisimple Algebras
半简单代数傅立叶变换的高效计算

Sarah Wolff的其他文献

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{{ truncateString('Sarah Wolff', 18)}}的其他基金

Collaborative Research: Probing Particle Impact onto Molten Metal Pool in Laser Directed Energy Deposition by Synchrotron Imaging and Process Modeling
合作研究:通过同步加速器成像和过程建模探测激光定向能量沉积中的粒子对熔融金属池的影响
  • 批准号:
    2139074
  • 财政年份:
    2022
  • 资助金额:
    $ 17.93万
  • 项目类别:
    Standard Grant
Collaborative Research: Probing Particle Impact onto Molten Metal Pool in Laser Directed Energy Deposition by Synchrotron Imaging and Process Modeling
合作研究:通过同步加速器成像和过程建模探测激光定向能量沉积中的粒子对熔融金属池的影响
  • 批准号:
    2245141
  • 财政年份:
    2022
  • 资助金额:
    $ 17.93万
  • 项目类别:
    Standard Grant

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  • 批准号:
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