CPS: Synergy: Cyber Enabled Manufacturing Systems (CeMs) for Small Lot Manufacture

CPS：协同：用于小批量制造的网络支持制造系统 (CeM)

• 批准号: 1239343
• 负责人: Joseph Beaman
• 金额: $ 100万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1239343&HistoricalAwards=false
• 关键词: CPS; Synergy; Cyber; Enabled; Manufacturing

This grant provides funding for the development of Cyber Enabled Manufacturing (CeMs) process control for small lot manufacturing that incorporates a model of the process directly into the control algorithm. Such a model can be used to accommodate changes in the physical product and the manufacturing process and thus the manufacturing monitoring and control algorithm, so that changing conditions are easily accommodated without extensive additional experiments. A set of objectives of this physics and cyber-enabled manufacturing process control system are rational setting of manufacturing tolerances, real time prediction of manufacturing defects, real time control of process to eliminate defects, and real time monitoring and control for small lot manufacturing. The methodologies we propose to achieve these goals are high fidelity, physics based models including models of faults/defects, uncertainty quantification, reduced order models that run in real time, measurement, real time prediction, real time computer architecture, real time control with inverse solutions, and automating the CeMs process for generic manufacturing processesIf successful, the results of this research will greatly reduce cycle time in producing new or modified products and improve the quality of manufacturing processes with accompanying reduction in waste, energy use, and cost. The development of such accurate control algorithms and their application to manufacturing processes can provide a competitive edge to US manufacturers. Perhaps more importantly, the education of engineers involved this research will supply US industry with employees who can apply this technology to many industrial processes.

该补助金为小批量制造的网络化制造（CeMs）过程控制的开发提供资金，该过程控制将过程模型直接纳入控制算法。这样的模型可以用于适应物理产品和制造过程的变化，从而适应制造监测和控制算法的变化，使得在没有大量额外实验的情况下容易地适应变化的条件。该物理和计算机使能的制造过程控制系统的一组目标是制造公差的合理设置、制造缺陷的真实的时间预测、消除缺陷的过程的真实的时间控制以及小批量制造的真实的时间监测和控制。我们提出的实现这些目标的方法是高保真度，基于物理的模型，包括故障/缺陷模型，不确定性量化，在真实的时间运行的降阶模型，测量，真实的时间预测，真实的时间计算机体系结构，具有逆解的真实的时间控制，以及用于通用制造过程的自动化CeMs过程。这项研究的结果将大大减少生产新产品或改进产品的周期时间，并提高制造过程的质量，同时减少浪费，能源使用和成本。这种精确控制算法的开发及其在制造过程中的应用可以为美国制造商提供竞争优势。也许更重要的是，参与这项研究的工程师的教育将为美国工业提供能够将这项技术应用于许多工业过程的员工。