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.

本次公开的数据集包含带标注的多变量时间序列数据，涵盖不同刀具磨损状态下的铣削加工过程，且测试采用了多台不同的机床。以周边切削刃的后刀面磨损带宽度VB（flank wear land VB）作为刀具退化评估指标。总计使用9把立铣刀（end milling cutter），在铸铁600-3/S材料的三轴肩铣加工中，将刀具从全新状态磨损至使用寿命终点（VB≈150μm）。研究人员采用放大倍率100倍的数码显微镜，定期测量后刀面磨损带宽度VB。所有刀具均为同型号产品：整体硬质合金立铣刀（solid carbide end milling cutter），4刃TiN-TiAlN涂层，但来自不同批次。实验在三台尺寸相近的不同5轴铣削加工中心上开展，所有机床的工件、实验装置与加工参数均保持一致。采用测力仪（dynamometer）以25 kHz的采样率采集加工过程中的切削力信号；同时从机床控制系统中采集主轴（spindle）与进给传动机构（feed drives）的力、扭矩信号，以及进给传动机构的位置控制偏差（position control deviation）信号，采样率为500 Hz。本数据集共包含6418个数据文件，每个文件均带有五类标注信息：磨损量（VB）、机床（M）、刀具（T）、加工批次（R）与累计刀具接触时间（C）。文件"filelist.csv"汇总了所有样本文件及其对应标注的详细信息。该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，或是探究迁移学习（transfer learning）策略。

搜集汇总

背景与挑战

背景概述

该数据集提供带标签的多元时间序列数据，聚焦于铣削过程中刀具磨损变化和不同机床的影响。数据涵盖9个端铣刀从新到报废的完整磨损过程，采集自三台类似机床，包含高采样率的过程力和驱动信号，适用于工具磨损监测、寿命预测和转移学习研究。