Multivariate time series data of milling processes with varying tool wear and machine tools

The presented dataset provides labeled, multivariate time series data of milling processes with varying tool wear and for varying machine tools. The width of the flank wear land VB of peripheral cutting edges is used as a degradation metric. A total of nine end milling cutters were worn from an unused state to end of life (VB ≈ 150 μm) in 3-axis shoulder milling of cast iron 600-3/S. The width of the flank wear land VB was frequently measured with a digital microscope at a magnification of 100x. The tools were of the same model (solid carbide end milling cutter, 4 edges, coated with TiN-TiAlN) but from different batches. Experiments were conducted on three different 5-axis milling centers of a similar size. Workpieces, experimental setups, and process parameters were identical on all of the machine tools. The process forces were recorded with a dynamometer with a sample rate of 25 kHz. The force or torque of the spindle and feed drives, as well as the position control deviation of feed drives, were recorded from the machine tool controls with a sample rate of 500 Hz. The dataset holds a total of 6,418 files labeled with the wear (VB), machine tool (M), tool (T), run (R), and cumulated tool contact time (C). The file “filelist.csv” provides an overview of all the sample files and their corresponding labels. This data could be used to identify signal features that are sensitive to tool wear, to investigate methods for tool wear estimation and tool life prediction, or to examine transfer learning strategies.

本数据集提供了涵盖不同刀具磨损状态与不同机床的铣削加工过程的带标注多变量时间序列数据，以圆周切削刃的后刀面磨损带宽度VB（flank wear land VB）作为刀具退化度量指标。

共计9把相同型号（整体硬质合金立铣刀（solid carbide end milling cutter），4个切削刃，涂覆TiN-TiAlN涂层）但不同批次的立铣刀，在铸铁600-3/S的三轴肩铣削加工中，从全新状态磨损至使用寿命终点（VB≈150μm）。实验期间，采用放大倍率为100倍的数字显微镜频繁测量后刀面磨损带宽度VB。

所有实验均在三台尺寸相近的不同五轴铣削加工中心上开展，且所有机床的工件、实验装置与工艺参数均保持一致。加工过程力通过测力仪（dynamometer）以25kHz的采样率记录；主轴与进给传动的力或扭矩，以及进给传动的位置控制偏差（position control deviation），则通过机床控制系统以500Hz的采样率采集。

该数据集总计包含6418个标注文件，标注项包括磨损量（VB）、机床（M）、刀具（T）、加工轮次（R）与累计刀具接触时长（C）。文件"filelist.csv"提供了所有样本文件及其对应标注的概览信息。

本数据集可用于识别对刀具磨损敏感的信号特征、研究刀具磨损估算与刀具寿命预测方法，或探究迁移学习（transfer learning）策略。