数控加工数据库:和塑料加工的几何,NC代码和高频能耗数据
Markus Brillinger1, Muaaz Abdul Hadi1, Stefan Trabesinger1,2
1Pro2Future GmbH, Sandgasse 34, Graz 8010, Austria.
Data in brief
|July 18, 2025
概括
这项研究引入了一个新的CNC加工数据集,包含几何,NC代码和能量数据. 该资源有助于智能制造研究优化流程和能源效率.
科学领域:
- 制造业 工程 制造工程
- 数据科学数据科学数据科学
- 机器学习 机器学习
背景情况:
- 高质量的数据集对于推进机器学习和优化制造过程至关重要.
- 数据驱动的方法对于提高制造业的能源效率和预测性维护越来越重要.
研究的目的:
- 引入一个全面的CNC加工数据库.
- 为研究人员和工程师提供有价值的数据,用于制造分析和智能制造应用.
主要方法:
- 数据集包括三个关键类别:产品几何,NC码和高频能耗数据.
- 这些数据是从数控加工操作中收集的.
主要成果:
- 该存储库集成了各种数据类型,这些数据类型对于高级制造分析至关重要.
- 这一数据集可以分析加工过程中的能源消耗模式.
结论:
- 该数据集的公开可用性将加速智能制造中数据驱动解决方案的开发.
- 该资源有助于对比和增强数字双胞胎模型与真实世界的加工数据.
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