Roughness of Milling Process

This dataset is used to develop an algorithm for evaluating machining quality. When machining a workpiece in a milling process, vibration signals can be recorded by a 3-axis accelerometer, which is attached on the spindle of a CNC milling machine. To evaluate machining quality, the vibration signals can be segmented and extracted the corresponding features, in the time, frequency, and time-frequency domains. After serving with the features, a model can be developed to estimate the machining quality, such as the roughness of a workpiece. The sensing data collected from several tools are provided and recorded in csv format to validate a developed model.本数据集旨在开发用于加工质量评估的算法。在铣削加工工件时，可通过安装在CNC铣床主轴上的三轴加速度计（3-axis accelerometer）采集振动信号。为评估加工质量，需对振动信号进行分段处理，并提取其时域、频域及时频域中的对应特征。基于上述提取的特征，可构建模型以预估加工质量，例如工件的表面粗糙度。本数据集提供了多把刀具采集的传感数据，并以CSV格式存储，用于验证所开发的模型。

搜集汇总

背景与挑战

背景概述

该数据集专注于铣削过程中的粗糙度评估，提供由三轴加速度计采集的振动信号数据，采样率为2048 Hz，用于开发加工质量估计算法。数据集包含特定加工条件下的CSV格式文件，支持在时域、频域和时频域进行特征提取，旨在验证模型以预测工件表面粗糙度。