中国激光, 2020, 47 (4): 0411001, 网络出版: 2020-04-09  

激光诱导击穿光谱表征熔覆层缺陷程度 下载: 872次

Characterization of Cladding Defects via Laser-Induced Breakdown Spectroscopy
作者单位
1 福建工程学院机械与汽车工程学院数字福建工业制造物联网实验室, 福建 福州 350118
2 中国科学院安徽光学精密机械研究所安徽省光子器件与材料重点实验室, 安徽 合肥230031
3 华侨大学机电及自动化学院, 福建 厦门 361021
摘要
常用显微镜、能量色散X射线光谱/扫描电子显微镜等检测熔覆层的微观缺陷。使用这些方法固然能准确地观察裂纹,但是这些技术检测结果的说服力较低。通常以剖面来观察检测,但剖面局部区域并不能代表整个熔覆层的情况,随机性太大且检测区域小,对样品尺寸要求高。为了解决这些问题,利用激光诱导击穿光谱(LIBS)技术检测熔覆层的微观缺陷。制备了不同含量的TiC/Ni35熔覆样品,熔覆后样品出现不同类型的缺陷。在21 mm×4.2 mm的区域内,获取样品表面的特征光谱,使用排列矩阵的方法得到了区域扫描的结果。结果表明:LIBS技术可用于熔覆层微观缺陷的快速表征,根据评估计算得到4号样件缺陷最多,1号与5号适中,2号和3号最少。
Abstract
The microscopic defects with respect to the cladding layer are often detected using a microscope, energy dispersive X-ray spectroscopy, and scanning electron microscope, etc. Even though cracks can be accurately observed using these methods, the obtained results are not convincing. The sample profile is used to observe the performance of the test sample; however, the local area of the section does not represent the entire cladding layer. The randomness is considerably large, and the detection area is small. Furthermore, the requirement of sample size is high. To solve these problems, we use laser-induced breakdown spectroscopy (LIBS) technology to detect the microscopic defects observed with respect to the cladding layer. Subsequently, different contents were obtained with respect to the TiC/Ni35 cladding samples, and different types of defects could be observed in the samples after cladding. The characteristic spectra of the sample surface can be observed in the 21 mm×4.2 mm region, and the region scanning results are obtained using the array matrix method. The results prove that LIBS technology can be used to rapidly characterize the microscopic defects in the cladding layer. According to the evaluation, the No. 4 sample has the most defects, the No. 1 and No. 5 sample defects are moderate, and the No. 2 and No. 3 sample defects are the lowest.

雷鹏达, 付洪波, 易定容, 杨金伟, 孔令华. 激光诱导击穿光谱表征熔覆层缺陷程度[J]. 中国激光, 2020, 47(4): 0411001. Lei Pengda, Fu Hongbo, Yi Dingrong, Yang Jinwei, Kong Linghua. Characterization of Cladding Defects via Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2020, 47(4): 0411001.

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