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Updated: Jun 10, 2025

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Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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综合CAM/CNC控制系统的现状:先前的发展和走向更智能的CNC的道路
Roby Lynn1, Moneer Helu2, Mukul Sati1
1771 Ferst Dr NW Atlanta, GA 30332.
概括
当前的CNC制造使用过时的G-Code,限制了智能系统的数据反. 本综述探讨了集成的CAM/CNC系统,强调了改善过程控制的挑战和未来研究方向.
科学领域:
- 制造业 工程 制造工程
- 自动化和控制系统自动化和控制系统
- 计算机辅助制造 计算机辅助制造
背景情况:
- 传统的计算机数控 (CNC) 系统依赖于G-Code,这是一个60年前的编程语言,具有有限的数据分辨率和反能力.
- 专有CNC架构限制了系统的扩展和改进,阻碍了先进的制造操作.
- 现有的数据交换标准,如MTConnect和OPC UA,独立于G-Code运行,防止集成控制和数据采集.
研究的目的:
- 审查CNC机床的当前数据传输方法.
- 探索用于增强加工过程控制的集成计算机辅助制造 (CAM) /CNC系统的现状.
- 确定智能CNC系统自我优化的障碍和未来研究方向.
主要方法:
- 关于数控机器数据传输方法的最新文献综述.
- 对现有的集成CAM/CNC系统及其能力的调查.
- 分析G-Code和专有CNC架构所造成的限制.
主要成果:
- 综合CAM/CNC系统受到当前数据交换方法和CNC系统的封闭性质的严重阻碍.
- 当前系统中控制和数据采集途径的分离挑战了自我优化智能制造的发展.
- 现有的G-Code限制和专有架构是先进过程控制的关键障碍.
结论:
- 解决数据传输和CNC系统架构的局限性对于推进集成CAM/CNC功能至关重要.
- 未来的研究应该专注于开发智能制造的统一数据和控制途径.
- 克服专有限制和提高G-Code的数据容量对于自优化智能CNC系统至关重要.
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