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  • Received: Sep. 16, 2019

    Accepted: Nov. 19, 2019

    Posted: Apr. 1, 2020

    Published Online: Apr. 9, 2020

    The Author Email: Kong Linghua (stephenray@foxmail.com)

    DOI: 10.3788/CJL202047.0411001

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    Pengda Lei, Hongbo Fu, Dingrong Yi, Jinwei Yang, Linghua Kong. Characterization of Cladding Defects via Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2020, 47(4): 0411001

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Chinese Journal of Lasers, Vol. 47, Issue 4, 0411001 (2020)

Characterization of Cladding Defects via Laser-Induced Breakdown Spectroscopy

Lei Pengda1, Fu Hongbo2, Yi Dingrong3, Yang Jinwei1, and Kong Linghua1,*

Author Affiliations

  • 1Digital Fujian Industrial Manufacturing IoT Lab, School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou, FuJian 350118, China
  • 2Anhui Provincial Key Laboratory of Photonic Devices and Materials, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 3College of Mechanical Engineering and Automation, Huaqiao University, Xiamen, Fujian 361000, China

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.

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