EAGER: US IGNITE: A gigabit network and Cyber-Physical framework for Advanced Manufacturing

EAGER：US IGNITE：用于先进制造的千兆位网络和网络物理框架

• 批准号: 1447237
• 负责人: Joe Cecil
• 金额: $ 23.72万
• 依托单位: Oklahoma State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1447237&HistoricalAwards=false
• 关键词: EAGER; US; IGNITE; gigabit; network

Manufacturing, and especially advanced manufacturing, is a key element of long-term U.S. prosperity and national security. Advanced manufacturing is at the threshold of the next major revolution catalyzed by advances in networking and Internet technologies. A new generation of agile and 'information based manufacturing' will involve collaborative use of cyber physical resources, simulation and other design/manufacturing tools. In this project, the manufacturing domain of interest is an emerging field called Micro Devices Assembly (MDA). MDA is an emerging advanced manufacturing field involving the manipulation and assembly of micron sized devices. Products in sensors, medical devices (such as heart monitors), surveillance devices and semiconductor manufacturing can be produced using such technologies.In this project an ultra-fast network links distributed cyber physical resources which are used to accomplish the assembly of micron sized devices. The project has two major categories of tools involving the life cycle of micro devices assembly: cyber and physical. Cyber tools will be used to accomplish of assembly planning alternatives, analysis of candidate assembly plans, and Virtual Reality (VR) based simulation of assembly alternatives for target micro designs. Physical tools (or resources) will include manufacturing equipment (to assemble target micro designs), cameras and other related sensors (to guide in the complex assembly as well as to provide feedback during assembly). Such a cyber physical approach demonstrates the feasibility of using ultrafast networks and advanced networking technologies such as Software Defined Networking to support next generation collaborative frameworks for advanced manufacturing. In this system the high-definition multimedia streaming interfaces associated with the VR environment will enable partners to collaboratively propose, compare and refine assembly planning alternatives. The project will use the advanced manufacturing test bed outlined in this project to support teaching of cyber physical concepts and manufacturing frameworks to engineering students at Oklahoma State University; some of the cyber tools developed will also be used subsequently as part of K-12 STEM learning activities involving students in Stillwater, Oklahoma City and the Muscogee (Creek) Nation schools in Oklahoma.

制造业，特别是先进制造业，是美国长期繁荣和国家安全的关键要素。 先进制造业正处于网络和互联网技术进步所催化的下一次重大革命的门槛上。新一代敏捷和“基于信息的制造”将涉及网络物理资源、模拟和其他设计/制造工具的协作使用。在这个项目中，感兴趣的制造领域是一个称为微型设备组装（MDA）的新兴领域。 MDA 是一个新兴的先进制造领域，涉及微米级设备的操纵和组装。传感器、医疗设备（例如心脏监视器）、监控设备和半导体制造等产品都可以使用此类技术生产。在该项目中，超高速网络链接分布式网络物理资源，用于完成微米级设备的组装。该项目有涉及微型设备组装生命周期的两大类工具：网络工具和物理工具。网络工具将用于完成装配规划替代方案、候选装配计划分析以及目标微设计装配替代方案的基于虚拟现实 (VR) 的模拟。物理工具（或资源）将包括制造设备（用于组装目标微设计）、相机和其他相关传感器（用于指导复杂的组装并在组装过程中提供反馈）。这种网络物理方法证明了使用超快网络和软件定义网络等先进网络技术来支持先进制造的下一代协作框架的可行性。在该系统中，与 VR 环境相关的高清多媒体流接口将使合作伙伴能够协作提出、比较和完善装配规划替代方案。该项目将使用本项目中概述的先进制造测试台来支持俄克拉荷马州立大学工程系学生的网络物理概念和制造框架教学；开发的一些网络工具随后还将用作 K-12 STEM 学习活动的一部分，涉及俄克拉荷马城斯蒂尔沃特和俄克拉荷马州 Muscogee (Creek) Nation 学校的学生。