实验室环境下刀具磨损监测算法验证铣削实验数据

在数控铣床VM7032上进行方肩铣削，以建立刀具磨损和切削信号之间的关系，在数控铣床上放置一个尺寸为120mm×40mm×80mm的工件，工件材料为304不锈钢，工件的硬度为HB190，实验使用PVD涂层刀片进行铣削，切削长度为120mm，并在每10次切削后通过超景深显微镜测量刀具后刀面磨损值。

Square shoulder milling was conducted on a CNC milling machine VM7032 to establish the correlation between tool wear and cutting signals. A workpiece measuring 120mm × 40mm × 80mm was mounted on this machine. The workpiece was made of 304 stainless steel with a hardness of HB190. PVD-coated inserts were employed for the milling operations, with a total cutting length of 120mm. The flank wear of the tool was measured using an ultra-deep field microscope after every 10 cutting cycles.

搜集汇总

背景与挑战

背景概述

该数据集提供了实验室环境下铣削实验数据，用于验证刀具磨损监测算法。实验在数控铣床上进行，使用304不锈钢工件和PVD涂层刀片，通过测量刀具后刀面磨损值和采集切削信号（如加速度信号），旨在建立刀具磨损与切削信号之间的关系。数据来源于国家重点研发计划项目，适用于机械工程和计算机辅助制造领域的研究。