基于多源数据融合的磨削加工精度预测数据集

基于多源数据融合的磨削加工精度预测数据集主要面向多源数据对加工精度预测的影响。数据来源于秦川机床QMK017偏心轴外圆磨床加工零件过程中的机床内部数据、外部温度以及加工后零件的各项测量数据。主要实验采用固定工艺参数，对完成齿形花键加工后的零件进行两个偏心轴外圆磨削加工。其中，机床内部数据，包括主轴、径向运动轴（X轴）、轴向运动轴（Y）轴的转矩、转速和电流，以及机床内置传感器获取的各轴温度数据，其通过OPC DA（OPC Data Access）协议实现采集。外部温度数据，是将PT100温度传感器安装在机床表面，通过数据采集卡实现数据采集。加工后工件各项测量数据用Zeiss PRISMO三坐标测量仪进行测量。数据量为920KB。

A Multi-Source Data Fusion-Based Grinding Machining Accuracy Prediction Dataset. This dataset is primarily designed to study the effect of multi-source data on machining accuracy prediction. The data is collected from three categories during the machining of parts on the Qinchuan Machine Tool QMK017 eccentric shaft cylindrical grinding machine: internal machine data, external ambient temperature data, and various measurement data of the machined parts. The main experiment adopted fixed process parameters to perform two cylindrical grinding processes on eccentric shaft parts that have undergone prior gear spline machining. Specifically, the internal machine data includes torque, rotational speed and current of the spindle, radial motion axis (X-axis) and axial motion axis (Y-axis), as well as temperature data of each axis collected by the machine's built-in sensors, which are acquired via the OPC DA (OPC Data Access) protocol. For the external ambient temperature data, PT100 temperature sensors are mounted on the machine tool's surface, and the data is collected via a data acquisition card. Various measurement data of the finished workpieces are collected using a Zeiss PRISMO coordinate measuring machine. The total size of this dataset is 920 KB.

搜集汇总

背景与挑战

背景概述

该数据集由重庆大学发布，专注于磨削加工精度预测研究，通过融合机床内部传感器数据（如主轴转矩、转速、温度）和外部温度数据，结合工件测量结果，构建多源数据集合。数据来源于秦川机床的实际加工过程，采用固定工艺参数，适用于机械工程领域，旨在支持智能制造中的精度控制和工艺优化分析。数据集规模较小（约938KB），包含CSV和DOCX格式文件，便于直接处理和分析。