FMNet: NYC Future Manufacturing Collective

FMNet：纽约市未来制造集体

• 批准号: 2036802
• 负责人: Nikhil Gupta
• 金额: $ 50万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2036802&HistoricalAwards=false
• 关键词: FMNet; NYC; Future; Manufacturing; Collective

Extensive use of sensors, computers and software tools in product design and manufacturing requires traditional manufacturing education to evolve for the new generation of cyber-manufacturing systems. While universities will continue to provide education to build a fundamental knowledge base for their students, the widening gap between the education delivered and the skills required by industry needs innovative solutions to prepare the workforce for future generations of manufacturing. The New York City Future Manufacturing Collective (NYC-FMC) will develop a network of multidisciplinary researchers, educators, and stakeholders in New York City to explore future cyber manufacturing research through the lens of the worker's relationship to an increasingly complex and technologically driven environment and set of processes. The NYC-FMC will advance related technologies as well as the underlying systems, processes, and organizational conditions to which these interfaces are connected, to change and drive the roles of people in manufacturing. NYC-FMC will organize a variety of activities, including an internship program for students to obtain exposure to industrial environments by engaging major manufacturing based corporations, producing a newsletter to define the state-of-the-art in manufacturing technologies and the new manufacturing ecosystem, and organizing two manufacturing-focused symposia each year. The program will build a coalition of multidisciplinary faculty from NYC universities, industry executives and technologists, investors, entrepreneurs, public sector and other relevant manufacturing ecosystem participants.The NYC-FMC will take a convergence approach to generate novel ideas, frameworks, and hypotheses to catalyze future research, partnerships, and industrial innovation in manufacturing and cyber-physical systems. The network convened by RLab, a multi-university center administered by New York University (NYU) Tandon School of Engineering, will rely on faculty leadership at NYU and Columbia University, as well as a broad network of researchers from other NYC institutions, in the areas of manufacturing, computer vision, robotics, machine learning, virtual and augmented reality, human behavior and cognition, economics and other relevant areas. Executives and technologists from industry, including large manufacturing concerns with a connection to the greater NYC region and beyond and startup companies in the Brooklyn Navy Yard’s New Lab, will provide stimulus from the private sector and help create conditions to advance education and research goals. This coalition will build a novel education and workforce training program framework to create a learning and feedback loop between researchers, industry partners, and the workforce focused on the future cyber-manufacturing systems.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.

传感器、计算机和软件工具在产品设计和制造中的广泛使用，要求传统的制造业教育为新一代的网络制造系统而发展。虽然大学将继续提供教育，为学生建立基础知识基础，但教育与行业所需技能之间的差距日益扩大，需要创新的解决方案，为未来的制造业劳动力做好准备。纽约市未来制造集体（NYC-FMC）将在纽约市建立一个由多学科研究人员、教育工作者和利益相关者组成的网络，通过工人与日益复杂和技术驱动的环境和过程的关系的透镜，探索未来的网络制造研究。NYC-FMC将推进相关技术以及这些接口所连接的基础系统、流程和组织条件，以改变和推动人们在制造业中的角色。NYC-FMC将组织各种活动，包括为学生提供实习计划，通过参与主要制造企业来接触工业环境，制作时事通讯来定义制造技术和新制造生态系统的最新技术，并每年组织两次以制造为重点的研讨会。该计划将建立一个由来自纽约大学的多学科教师、行业高管和技术专家、投资者、企业家、公共部门和其他相关制造生态系统参与者组成的联盟。NYC-FMC将采取融合方法来产生新的想法、框架和假设，以促进未来制造和网络物理系统的研究、合作和工业创新。RLab是一个由纽约大学坦顿工程学院管理的多大学中心，该网络将依靠纽约大学和哥伦比亚大学的教师领导，以及来自纽约市其他机构的广泛研究人员网络，在制造，计算机视觉，机器人，机器学习，虚拟和增强现实，人类行为和认知，经济学和其他相关领域。来自行业的高管和技术专家，包括与大纽约地区及其他地区有联系的大型制造企业，以及布鲁克林海军造船厂新实验室的初创公司，将提供来自私营部门的刺激，并帮助创造条件，以推进教育和研究目标。该联盟将建立一个新的教育和劳动力培训计划框架，在研究人员、行业合作伙伴和专注于未来网络制造系统的劳动力之间建立一个学习和反馈循环。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

Assisted defect detection by in-process monitoring of additive manufacturing using optical imaging and infrared thermography

• DOI: 10.1016/j.addma.2023.103483
• 发表时间: 2023-03-14
• 期刊: ADDITIVE MANUFACTURING
• 影响因子: 11
• 作者: AbouelNour, Youssef;Gupta, Nikhil
• 通讯作者: Gupta, Nikhil