探索用于智能制造的低刚性零件的切割加工模式
Jianping Zhu1, Xinna Liu1, Hui Peng1
1Rongcheng College, Harbin University of Science and Technology, Weihai 264800, China.
Micromachines
|June 27, 2025
概括
本研究介绍了复杂金属切割的智能制造架构,重点关注低刚度的航空发动机部件. 它可以实时优化和监控高精度,高效和智能切割过程.
科学领域:
- 制造业 工程 制造工程
- 人工智能的人工智能
- 材料科学 材料科学 材料科学
背景情况:
- 智能制造正在改变行业,对于金属切割等复杂工艺具有重大潜力.
- 由于其复杂的几何形状和材料特性,航空发动机低刚度零件在精密制造中存在独特的挑战.
研究的目的:
- 为切割航空发动机低刚度部件构建一个智能处理架构.
- 详细介绍智能决策,工具设计,模拟和过程控制的关键技术.
- 为智能切割技术应用提供参考模型.
主要方法:
- 开发基于大数据平台的智能处理架构.
- 集成深度学习以实现智能决策.
- 基于结构特征的定制切割工具设计.
- 使用部分几何特征模拟切割条件.
- 基于条件感知的数字控制 (NC) 加工的在线监控和控制.
主要成果:
- 智能系统能够根据实时条件自动优化切割参数.
- 实时监控机床,切削工具和零件状况.
- 实现了高精度,高效,智能和精确的低刚性部件的切割.
结论:
- 拟议的架构有效地解决了对低刚度部件智能切割的挑战.
- 该系统可实现自适应控制和实时调整,以提高制造业的成果.
- 这项研究为推进航空航天和其他精密工业的智能切割技术提供了有价值的框架.
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