MANIPULATION
基于物理信息与机器学习的五轴铣削TC4钛合金刀具磨损融合预测模型
Shaoqing Qin, Lida Zhu, Yanpeng Hao, Yiming Huang, Qiuyu Qin, Degang Qin, Tianming Yan, Zhichao Yang, Jianhua Yong, Xin Shu
- 发表年份
- 2026
- 引用次数
- 1
- 期刊
- Robotics and Computer-Integrated Manufacturing
摘要
本文提出了一种融合物理信息与机器学习的预测模型，用于五轴铣削TC4钛合金过程中的刀具磨损监测。该模型通过结合物理模型与数据驱动方法，提高了刀具磨损预测的准确性和鲁棒性。
关键词
tool wearfive-axis millingTC4 titanium alloyphysical informationmachine learningfusion prediction
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