产线车床精度测试与补偿数据集

数据集包含某轮毂生产产线车床设备进行热误差溯源、分离、建模以及精度自愈过程中的设备关键位置温度以及热误差的数据集，包含了产线设备刀塔、X轴、Z轴、主轴、床身等部位的温度数据及其对刀尖点误差的影响数据。数据采集时间为2022年6月，采集地点为某轮毂生产产线，采集设备综合使用了激光干涉仪、千分表、高精度温度传感器以及研发的智能产线动态误差建模与精度自愈软件。数据集主要用于智能产线误差源解耦与动态误差关联关系研究。数据集大小为180 KB。

This dataset contains temperature and thermal error data collected from key positions of lathe equipment in a wheel hub production line during the processes of thermal error tracing, separation, modeling and accuracy self-healing. It includes temperature data of multiple components of the production line equipment such as turret, X-axis, Z-axis, spindle and bed, as well as the impact data of these parameters on the tool tip point error. The data was collected in June 2022 at a certain wheel hub production line. The data acquisition equipment comprehensively used laser interferometers, dial indicators, high-precision temperature sensors and the self-developed intelligent production line dynamic error modeling and accuracy self-healing software. This dataset is mainly used for research on error source decoupling and dynamic error correlation of intelligent production lines. The size of the dataset is 180 KB.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于轮毂生产产线中车床设备的精度测试与补偿，包含2022年6月采集的刀塔、X轴、Z轴等关键部位的温度和热误差数据，用于热误差溯源、建模和精度自愈研究。数据通过激光干涉仪、温度传感器等设备获取，支持智能产线误差源解耦与动态误差关联分析，适用于机械工程领域的机床技术优化。