Laser-induced thermal damage detection in metallic materials via acoustic emission and ensemble empirical mode decomposition
Laser-induced thermal damage detection in metallic materials via acoustic emission and ensemble empirical mode decomposition
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DOI：
10.1016/j.jmatprotec.2014.03.009
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发表时间：
2014-08
影响因子：
6.3
通讯作者：
Zhensheng Yang;Zhonghua Yu;Haixi Wu;D. Chang
中科院分区：
文献类型：
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作者：
Zhensheng Yang;Zhonghua Yu;Haixi Wu;D. Chang
研究了激光热损伤表面烧伤、再硬化和残余应力的检测方法。对各种钢，例如，AISI 1045、ASTM A36和AISI 304，通过激光照射。本工作的目的是通过传感器和特征提取技术来识别热损伤。声发射（AE）传感器和集合经验模态分解（EEMD）方法被用于此目的。提出了一种基于EEMD的声发射信号去噪方法。获得了量化的热损伤特征。结果证明AE特征之间的强相关性，即，重建的声发射信号的RMS值，以及表面烧伤，残余应力值，以及钢的硬度。本工作可作为一个潜在的和间接的热损伤检测方法。
A detection method of laser-induced thermal damage–surface burn, rehardening and residual stress, was studied in this work. Artificial thermal damage was produced to various steels, e.g., AISI 1045, ASTM A36 and AISI 304, by virtue of laser irradiation. The aim of the present work is to identify thermal damage through sensor and feature extraction techniques. Acoustic emission(AE) sensor and ensemble empirical mode decomposition(EEMD) method were employed for this purpose. A de-noising method was proposed to eliminate noises from original AE signals, based on EEMD. Quantified thermal damage features were obtained. Results evidenced a strong correlation between AE features, i.e., RMS value of the reconstructed acoustic emission signal, and surface burn, residual stress value, as well as hardness of steels. The present work could be used as a potential and indirect approach for thermal damage detection.