基于知识图表的轮剃须错误分析研究
1School of Mechanical and Electrical Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, People's Republic of China.
Scientific reports
|November 1, 2025
概括
本研究引入了一个知识图,以连接轮剃须错误因素,提高理解和减少牙形状错误. 针对特定的重叠和轴交叉角度条件,确定了优化的辐射料设置.
科学领域:
- 机械工程 机械工程
- 制造过程 制造过程 制造过程
- 数据科学数据科学数据科学
背景情况:
- 轮剃须错误,特别是中形孔和牙形状错误,源于许多缺乏系统互连的复杂因素.
- 关于这些因素的现有知识被分散在分散的文本中,阻碍了综合利用和理解影响机制.
研究的目的:
- 解决关于影响轮剃须错误的因素知识的孤立化问题.
- 开发基于切割参数的计算方法,用于预测和分析基于切割参数的轮剃须错误.
- 为统一管理和对错因子的相关性分析建立知识图.
主要方法:
- 为轮剃须牙形状,切割深度误差和剃须额度的计算公式的推导.
- 对辐射料对这些误差的影响分析.
- 使用Neo4j构建知识图,以建模错误因子之间的相互连接.
- 优化辐射料参数的实验验证.
主要成果:
- 在特定条件下 (重叠1.31.9,轴交叉角度误差0.2°0.5°) 确定了最佳的辐射料范围 (4450μm),同时可以减少中间形状腔和牙形状误差.
- 成功构建了一个知识图,使统一的管理,相关性表达,以及理错误因子的推理.
- 证明了知识图在解决因子之间缺失的内在连接和促进错误分析方面的有效性.
结论:
- 开发的知识图为理解和管理轮削错误因素提供了一个系统的框架.
- 根据已识别的相关性优化辐射料可以显著减少牙形状错误.
- 这种方法提高了揭示潜在机制的能力,并解决轮剃须过程中的牙形状错误.
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