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基于激光诱导击穿光谱的室温硫化硅橡胶材料成分研究

王希林 王晗 赵晨龙 陈灿 贾志东 周军

电工技术学报2016,Vol.31Issue(24):96-104,9.
电工技术学报2016,Vol.31Issue(24):96-104,9.

基于激光诱导击穿光谱的室温硫化硅橡胶材料成分研究

Composition Analysis of Room Temperature Vulcanized Material with Laser-Induced Breakdown Spectroscopy Technique

王希林 1王晗 2赵晨龙 1陈灿 2贾志东 1周军2

作者信息

  • 1. 清华大学深圳研究生院 深圳 518055
  • 2. 清华大学电机工程与应用电子技术系 北京 100084
  • 折叠

摘要

Abstract

Room temperature vulcanized (RTV) silicone rubber has been widely used in electric power industry of China, due to its good performance in anti-pollution flashover. Thermogravimetric (TG), energydispersive X-ray spectroscopy (EDX), fourier translation infrared spectroscopy (FTIR) are the main methods to analyze RTV coatings. But it is difficult to carry out these methods in the field. In this paper, element composition of RTV materials was analyzed using laser-induced breakdown spectroscopy (LIBS). The results showed that, regarding the same kind of RTV, the relationship between ablation depth of the hole in RTV coatings and the number of laser pulses for breakdown was linear, under the same laser frequency characteristic and the same energy per single laser pulse. Thus, the thickness of coatings can be measured through the bombardment number. Bombarding the same position of the material, in-situ analysis could be carried out on old RTV materials. The spectral line intensity of iron, magnesium and other elements decreased with the number of pulses. It can be used for the detection of the ageing depth of RTV coatings. Hence, the composition change could be acquired. As a high sensitivity and suitability on-line analysis method, LIBS is a new tool for RTV statement access analysis.

关键词

高压室温硫化硅橡胶/涂层厚度/激光诱导击穿光谱/线性关系

Key words

Room temperature vulcanized silicone rubber/thickness of coatings/laser-induced breakdown spectroscopy/linear relationship

分类

信息技术与安全科学

引用本文复制引用

王希林,王晗,赵晨龙,陈灿,贾志东,周军..基于激光诱导击穿光谱的室温硫化硅橡胶材料成分研究[J].电工技术学报,2016,31(24):96-104,9.

基金项目

国家自然科学基金(51607101、51477086)和深圳市科技研发资金基础研究项目(JCYJ20160301153442633)资助。 ()

电工技术学报

OA北大核心CSCDCSTPCD

1000-6753

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