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

Robotics and Computer-Integrated Manufacturing · 2026

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。

tool wearfive-axis millingTC4 titanium alloyphysical informationmachine learningfusion prediction

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Yusen Li, Ziwei Wang, Xiangye Zhu 等 12 位作者

Robotics and Computer-Integrated Manufacturing · 2026

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Bo Li, Yuanbo Zhao, Huijie Xiao 等 6 位作者

Robotics and Computer-Integrated Manufacturing · 2026

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Hao Li, Yuhui Yu, Rui Fu 等 6 位作者

Robotics and Computer-Integrated Manufacturing · 2026

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Xianzhong Zhao, Haotian Liu, Zhaoqi Huang 等 4 位作者

Robotics and Computer-Integrated Manufacturing · 2026