High-speed milling of thin-walled parts (HMoTP) dataset

This is a dataset for our accepted paper. If this dataset is useful for your research, please include our paper in your reference section:
[1] R. Wang, Q. Song, Y. Peng, et al. Toward digital twins for high-performance manufacturing: Tool wear monitoring in high-speed milling of thin-walled parts using domain knowledge, Robot Comput-Integr Manuf 2024;88:102723 https://doi.org/10.1016/j.rcim.2024.102723

本数据集来自我方已录用的学术论文。若该数据集对您的研究有所助益，请在您的参考文献列表中纳入本文：
[1] R. Wang, Q. Song, Y. Peng 等. 面向高性能制造的数字孪生（Digital Twins）：基于领域知识的薄壁件高速铣削刀具磨损监测[J]. 机器人与计算机集成制造（Robot Comput-Integr Manuf）, 2024, 88: 102723. https://doi.org/10.1016/j.rcim.2024.102723

搜集汇总

背景与挑战

背景概述

该数据集专注于高速铣削薄壁零件过程中的工具磨损监测，为高性能制造的数字化孪生研究提供支持。数据集包含与计算机辅助制造和故障诊断相关的数据，适用于相关领域的研究和分析。