FMNet: Future Manufacturing: A Network for Cybermanufacturing in Machining

FMNet：未来制造：机械加工网络制造网络

• 批准号: 2036806
• 负责人: Steven Schmid
• 金额: $ 50万
• 依托单位: University of North Carolina at Charlotte
• 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=2036806&HistoricalAwards=false
• 关键词: FMNet; Future; Manufacturing; Network; Cybermanufacturing

This Future Manufacturing (FM) project is to establish a research community of interest with the aim of expanding cybermanufacturing capabilities in the machining sector. Machining is an important manufacturing process, touching upon literally every portion of the manufacturing sector, including automotive, aerospace, medical products, defense and many others; as such this award directly impacts American economic welfare and national security. The project will convene meetings with the machining industry, engineering professional societies, and academia on the future of machining and manufacturing science and engineering and will conduct targeted webinars led mby participating members aimed at creating a broad foundational knowledge base encompassing diverse expertise. The project includes a subcontract to the National Center for Defense Machining and Manufacturing to coordinate the development of a research roadmap that focuses, prioritizes and drives research on cybermanufacturing topics in machining. Samples of research topics include physics-guided machine learning, augmented reality and the human/machine interface, and democratization of manufacturing. The identified reseach directly aligns with four of the NSF Big Ideas: Future of Work at the Human-Technology Frontier, Convergence, Harnessing the Data Revolution, and NSF Includes. This project on cybermanufacturing in machining brings together a consensus group made up of industry, government and academia to focus on next-generation topics that can revolutionize the machining sector. Central to this objective is ensuring that defective parts are not produced and that the provenance of parts is known. The project will address the use of physics-based models coupled with machine learning approaches, gamification of controllers, the wider use of Big Data, and cyber-physical systems. In addition, machining will be made more efficient through use of augmented reality tools and enhanced computer integration across the entire design and manufacturing chain. The project includes development of coursework at the undergraduate and community college levels to promote cybermanufacturing in the machining sector.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.

这个未来制造（FM）项目旨在建立一个研究社区，以扩大机械加工领域的网络制造能力。机械加工是一个重要的制造过程，涉及制造业的每个部分，包括汽车，航空航天，医疗产品，国防和许多其他；因此，这个奖项直接影响到美国的经济福利和国家安全。该项目将与机械加工行业、工程专业协会和学术界召开会议，讨论机械加工和制造科学与工程的未来，并将举办有针对性的网络研讨会，由参与的成员领导，旨在建立一个涵盖各种专业知识的广泛基础知识库。该项目包括与国家国防加工和制造中心的分包合同，以协调研究路线图的发展，该路线图将重点放在加工中的网络制造主题上，并优先考虑和推动研究。研究主题的样本包括物理引导的机器学习，增强现实和人机界面，以及制造业的民主化。确定的研究直接与NSF的四大理念相一致：人类技术前沿工作的未来、融合、利用数据革命和NSF包括。这个关于机械加工中的网络制造的项目汇集了一个由工业、政府和学术界组成的共识小组，专注于可以彻底改变机械加工领域的下一代主题。这一目标的核心是确保不生产有缺陷的部件，并确保部件的来源是已知的。该项目将解决基于物理的模型与机器学习方法、控制器游戏化、大数据和网络物理系统的广泛应用。此外，通过在整个设计和制造链中使用增强现实工具和增强的计算机集成，加工将变得更加高效。该项目包括开发本科和社区学院级别的课程，以促进机械加工领域的网络制造。该奖项反映了美国国家科学基金会的法定使命，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。