CPS: Synergy: Converting Multi-Axis Machine Tools into Subtractive3D Printers by using Intelligent Discrete Geometry Data Structures designed for Parallel and Distributed Computing

CPS：协同：使用专为并行和分布式计算设计的智能离散几何数据结构将多轴机床转换为减法3D打印机

• 批准号: 1329742
• 负责人: Thomas Kurfess
• 金额: $ 96.96万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1329742&HistoricalAwards=false
• 关键词: CPS; Synergy; Converting; Multi; Axis

This grant provides funding for the formulation of a data model, and trajectory planning platform and methodology to execute a fully digital 3D, 5-axis machining capability. Research will be performed on methods for utilizing multiple Graphical Processor Units (GPUs), which are readily available, parallel digital processing hardware, in these calculations. The methodology will be implemented in the context of an existing advanced computational framework that has tools for voxelization, variable resolution digital modeling, and parallel computing, integrating the fields of manufacturing and computer science. Experiments involving 5-axis machining will be executed to validate the methodology. Components will be machined and inspected on a coordinate measurement machine to verify that the target geometry has been achieved.If successful, this work will bring classical subtractive manufacturing back into the arsenal of rapid prototyping, providing users of typical CNC machine tools with the ability to rapidly determine if a part can be produced on a specific machine and machine the part. Having such a design and analysis tool will help to reduce the cost, improve the quality and allow rapid deployment of new innovations in components that require machining. This work will contribute to variable resolution digital representations to be employed in next generation digital manufacturing systems. It will also combine state-of-the-art concepts in computing and manufacturing to realize a completely new a cyber-physical approach to manufacturing.

这笔赠款为数据模型、轨迹规划平台和方法的制定提供资金，以执行全数字 3D、5 轴加工能力。将研究在这些计算中利用多个图形处理器单元（GPU）的方法，这些图形处理器单元是现成的并行数字处理硬件。该方法将在现有的先进计算框架的背景下实施，该框架具有体素化、可变分辨率数字建模和并行计算工具，整合了制造和计算机科学领域。将进行涉及 5 轴加工的实验来验证该方法。将在坐标测量机上加工和检查部件，以验证是否已实现目标几何形状。如果成功，这项工作将把经典的减材制造带回到快速原型制造的武器库中，为典型数控机床的用户提供能力快速确定某个零件是否可以在特定机器上生产并加工该零件。拥有这样的设计和分析工具将有助于降低成本、提高质量并允许在需要加工的部件中快速部署新的创新。这项工作将有助于下一代数字制造系统中采用的可变分辨率数字表示。它还将结合计算和制造领域的最先进概念，实现全新的网络物理制造方法。