tool wear dataset

This dataset is used for i) analyzing the influence of process information on monitoring signals through signal processing methods; ii) training and testing models of tool monitoring and tool wear prediction especially for cutting conditions with large variations including cutting parameters, material and geometry of cutting tools, and workpiece materials, and also cutting conditions with continuous changes. This data set includes monitoring signals collected from machining process of sidewalls and closed pockets. The sidewall machining belongs to the cutting process with fixed cutting conditions; the closed pocket machining belongs to the cutting process of continuously varying cutting conditions for the reason that the tool path of closed pocket includes line, arc, full cutting and non-full cutting. Although cutting parameters are given fixed in the arc tool path area, the actual cutting parameters (such as feed, cutting width) are constantly changing due to the change of cutting geometry.

本数据集主要用于两类研究场景：一是通过信号处理方法分析工艺信息对监测信号的影响；二是针对涵盖切削参数、刀具材料与几何参数、工件材料在内的大幅变动切削工况，以及连续变化的切削工况，开展刀具监测与刀具磨损预测模型的训练与测试。该数据集包含侧壁加工与封闭型腔加工过程中采集的监测信号。其中侧壁加工属于固定切削条件下的切削工序；封闭型腔加工则属于切削条件连续变化的工序，原因在于封闭型腔的刀具路径包含直线、圆弧、满切削与非满切削多种形式。尽管圆弧刀具路径区域内的切削参数被设定为固定值，但由于切削几何形状的变化，实际切削参数（如进给量、切削宽度）会持续发生变动。

搜集汇总

背景与挑战

背景概述

NUAA_Ideahouse工具磨损数据集包含多种切削条件下的监测信号，适用于分析工艺信息对信号的影响及工具磨损预测模型的训练和测试。数据集特别关注切削参数、工具几何形状和工件材料等变化条件下的工具磨损情况。