基于声发射小波能量熵的高速机器人铣削过程在线振动检测

IF 5.3 3区 工程技术 Q1 ENGINEERING, MANUFACTURING
Maojun Li, Yajie Chen, Guanbo Wang, Zilei Wen, Xujing Yang
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引用次数: 0

摘要

本研究采用声发射(AE)技术检测机器人铣削过程中的加工振动,并阐述了铣削振动对表面粗糙度和残余应力的影响机理。研究结果表明,加工振动的相关特征包括时域振幅的突然增加和频域频率分布的变化。加工振动的持续时间非常短暂,频率分布的变化主要集中在 150-730 kHz。在处理 AE 信号时,选择了小波能量熵(WEE)作为监测加工振动的检测指标。此外,还使用激光测振仪采集径向振动信号进行验证,这些信号与 AE 信号具有相似的特征,证实了基于 AE 方法的振动检测的有效性。在主轴转速较低时,加工振动容易发生在切入和切出位置,并随着进给速度的增加而变得更加频繁。高主轴转速和低进给速度可有效避免加工振动的发生。当铣削速度设置为 10 000 rpm,进给速度为 1440 mm/min 时,出现了严重的加工振动。此外,还详细评估了机器人铣削振动对表面完整性的影响。机器人铣削过程中加工振动的振幅和频率是随机的,因此对表面完整性的影响机制非常复杂。根据具体条件,这些振动可能会导致铣削表面劣化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Online Vibration Detection in High-Speed Robotic Milling Process Based on Wavelet Energy Entropy of Acoustic Emission

Online Vibration Detection in High-Speed Robotic Milling Process Based on Wavelet Energy Entropy of Acoustic Emission

This work used acoustic emission (AE) technique to detect machining vibrations during robotic milling process, and elaborated the impact mechanism of milling vibrations on surface roughness and residual stress. The findings indicated that the features relating to machining vibration included a sudden increase of amplitude in the time domain, and variations of frequency distribution in the frequency domain. The duration of machining vibration was exceedingly brief, and the changes of frequency distribution were mainly concentrated in 150–730 kHz. For the processing of AE signals, wavelet energy entroy (WEE) was selected as a detection indicator to monitor machining vibration. A laser vibrometer was also used to collect radial vibration signals for verification, which have similar characteristics with AE signals, confirming the effectiveness of vibration detecting based on AE method. At low spindle speeds, machining vibration is prone to occur at the cut-in and cut-out positions, and tends to become more frequent with the increase of feed speed. High spindle speed and low feed speed can effectively avoid the occurrence of machining vibration. The severe machining vibration occurred when the milling speed was set at 10,000 rpm with feed speed of 1440 mm/min. The influence of robotic milling vibration on surface integrity was also evaluated in details. The amplitude and frequency of machining vibrations during the robotic milling process are random, making the impact mechanism on surface integrity highly complex. Depending on specific conditions, these vibrations could result in deteriorated milling surfaces.

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来源期刊
CiteScore
10.30
自引率
9.50%
发文量
65
审稿时长
5.3 months
期刊介绍: Green Technology aspects of precision engineering and manufacturing are becoming ever more important in current and future technologies. New knowledge in this field will aid in the advancement of various technologies that are needed to gain industrial competitiveness. To this end IJPEM - Green Technology aims to disseminate relevant developments and applied research works of high quality to the international community through efficient and rapid publication. IJPEM - Green Technology covers novel research contributions in all aspects of "Green" precision engineering and manufacturing.
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