A new monitoring method for metal rust removal states in pulsed laser derusting via acoustic emission techniques
A new monitoring method for metal rust removal states in pulsed laser derusting via acoustic emission techniques
复制标题
声发射技术监测脉冲激光除锈金属除锈状态的新方法
DOI:
10.1016/j.jmatprotec.2019.116321
复制
发表时间:
2020
影响因子:
6.3
通讯作者:
Liu Shuai
中科院分区:
文献类型:
--
作者:
Xie Xiaozhu;Huang Qingpeng;Long Jiangyou;Ren Qinglei;Hu Wei;Liu Shuai
Considering that the direct visualization and real-time control of the laser derusting is challenging mainly in virtue of traditional microscopic procedures, it is very difficult for operators to judge the complicated derusting conditions accurately. Acoustic emission (AE) monitoring could be a promising technique to assess the termination of rust removal process, avoid thermal damage of carbon steel substrate efficiently. The AE monitoring and high-speed camera were successfully integrated for reliable investigation of laser derusting mechanism. Dynamic removal characteristics and microscopic changes of rust layer observed and analyzed using AE signals and high-speed images are utilized for further improvement of the mechanism of rust removal by pulsed laser. Based on the spectrum analysis of Fast Fourier Transform (FFT), three characteristic frequency contents including 15˜35 kHz, 65˜85 kHz and 140˜160 kHz of the filtered root mean square (RMS) signals closely associated to laser source impacting on steel substrate or rust layer were determined respectively, which provides the observable AE features relating to the thermal damage of substrate surface. Direct correction between RMS signals and specific laser derusting parameters was established to realize the monitoring of the process of complete rust removal using two representative laser fluences. The FFT was carried out during the same period within 0.3 s in order to validate any changes in the frequency content of 15˜35 kHz relating to the rust removal effect.
登录
查看更多内容
影响因子:
6.3
作者:
Zhensheng Yang;Zhonghua Yu;Haixi Wu;D. Chang
通讯作者:
Zhensheng Yang;Zhonghua Yu;Haixi Wu;D. Chang
DOI:
--
发表时间:
2010
期刊:
Advances in Manufacturing Science and Technology
影响因子:
--
作者:
K. Jemielniak;J. Kossakowska
通讯作者:
K. Jemielniak;J. Kossakowska
DOI:
10.1016/j.jmatprotec.2015.09.016
发表时间:
2016-03-01
影响因子:
6.3
作者:
Liao, Zhirong;Axinte, Dragos A.
通讯作者:
Axinte, Dragos A.
影响因子:
6.7
作者:
Guan, Y. C.;Ng, G. K. L.;Zhang, Z.
通讯作者:
Zhang, Z.
DOI:
10.1016/j.ijmachtools.2008.08.006
发表时间:
2009-01-01
影响因子:
14
作者:
Kek, Tomaz;Grum, Janez
通讯作者:
Grum, Janez