Discrimination of Aviation Alloy by Remote Laser-induced Breakdown Spectroscopy Technology

被引：2

作者：

Liu Xuyang ^{[1
]}

Zhang Dacheng ^{[1
]}

Feng Zhongqi ^{[1
]}

Ding Jie ^{[1
]}

Yang Runqiang ^{[1
]}

Sun Sijia ^{[1
]}

Wang Kejian ^{[1
]}

Zhu Jiangfeng ^{[1
]}

Wei Zhiyi ^{[2
]}

机构：

[1] Xidian Univ, Sch Phys & Optoelect Engn, Xian 710071, Peoples R China

[2] Chinese Acad Sci, Inst Phys, Beijing 100190, Peoples R China

来源：

ACTA PHOTONICA SINICA | 2021年 / 50卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Remote sensing; Laser; induced breakdown spectroscopy; K-nearest neighbor; Aviation alloy; Coaxial; CLASSIFICATION; LIBS;

D O I：

10.3788/gzxb20215010.1030003

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

The remote Laser-induced Breakdown Spectroscopy (LIBS) technology can be applied to analysis of aviation alloy raw materials in-situ. It provides a new method for online monitoring of aviation industry production. In this work,a coaxial remote LIBS device based on fiber optic spectrometer is developed, and its focus distance can be adjusted from 1 to 30 m continuously. Using the remote LIBS, 6 raw aviation alloy samples with different brands were measured at the distance of 4 m. Then 6 characteristic spectral lines were selected for spectral analysis with K-Nearest Neighbor (KNN) algorithm. The experimental results show that the accuracy of discriminationrate can be up to 98% when the 10 laser pulses deposited on the same ablation point. The accuracy of discrimination rate can be improved to 100% when more than 20 laser pulses deposited on same ablation point. This work can help to discriminate raw materials rapidly and accurately in industrial production site with a remote distance.

引用

页数：8

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