动力与电气工程

减小飞灰等离子体谱线干扰的参数优化研究

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  • 1. 华南理工大学 广东省能源高效清洁利用重点实验室,广东 广州 510640; 2. 电子工程学院 脉冲功率激光技术国家重点实验室,安徽 合肥 230037
姚顺春(1983-) ,男,博士,副教授,主要从事燃烧诊断、排放监测及优化控制技术研究.

收稿日期: 2015-08-23

  修回日期: 2015-11-02

  网络出版日期: 2016-04-12

基金资助

国家自然科学基金资助项目( 51206055, 51476061) ; 脉冲功率激光技术国家重点实验室开放基金( SKL2013KF03) ;“广东特支计划”科技青年拔尖人才资助项目( 2014TQ01N334) ; 广州市珠江科技新星专项( 2014J2200054)

Investigation into Parameters Optimization for Reducing Interference of Plasma Lines of Fly Ash

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  • 1.Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization,South China University of Technology,Guangzhou 510640,Guangdong,China; 2.State Key Laboratory of Pulsed Power Laser Technology,Electronic Engineering Institute,Hefei 230037,Anhui,China
姚顺春(1983-) ,男,博士,副教授,主要从事燃烧诊断、排放监测及优化控制技术研究.

Received date: 2015-08-23

  Revised date: 2015-11-02

  Online published: 2016-04-12

Supported by

Supported by the National Natural Science Foundation of China( 51206055, 51476061) , the State Key Laboratory Development Program of China ( SKL2013KF03 ) ,Guangdong Province Train High-level Personnel Special Support Program ( 2014TQ01N334)

摘要

针对激光诱导击穿光谱技术测量飞灰含碳量时存在的C 和Fe 谱线干扰问题展开分析,并进行了基于参数优化的减小谱线干扰的实验研究. 根据C 和Fe 元素谱线的激发特性和时间演化特性,对比分析了不同脉冲能量和等离子体信号探测延时下的谱线干扰情况,以获得减小谱线干扰的参数优化条件. 在此基础上,进一步对比分析了分别采用峰值强度和积分强度建立飞灰含碳量的多元回归模型. 研究结果显示,通过合理优化脉冲能量和延时,可有效减小248 nm 附近C 和Fe 元素谱线的干扰. 在优化后的测量条件下,不仅Fe 247. 98 nm 谱线强度得以弱化,而且可获取具有较高信噪比的C 247. 86 nm 谱线.由峰值强度建立的飞灰含碳量多元回归模型的拟合度r2 达到了0. 999,截距为0. 005,具有良好的可靠性.

本文引用格式

殷可经 姚顺春 卞进田 陆继东 范一松 徐嘉隆 白凯杰 . 减小飞灰等离子体谱线干扰的参数优化研究[J]. 华南理工大学学报(自然科学版), 2016 , 44(4) : 10 -14 . DOI: 10.3969/j.issn.1000-565X.2016.04.002

Abstract

This paper deals with the interference of C and Fe plasma lines existing in the measurement of unburned carbon in fly ash by means of laser-induced breakdown spectroscopy ( LIBS) ,and explores the interference suppression based on the parameter optimization by experiments.In the investigation,first,according to the excitation and time evolution properties of C and Fe lines,the spectral line interference at various pulse energy and time delay are analyzed in a comparison way,and the optimized parameters are obtained.Then,two multiple regression models describing the unburned carbon are constructed respectively by using the peak intensity and the integrated intensity of elemental lines.Analytical results show that the interference between C and Fe lines at about 248nm can effectively be reduced by optimizing the pulse energy and the time delay; and that,in the optimized conditions,the intensity of Fe 247. 98nm line decreases,while C 247. 86nm line with high signal-to-noise ratio is obtained.Moreover,it is found that the multiple regression model constructed by peak intensity is reliable,with a regression coefficient r2 of 0. 999 and an intercept of 0. 005.
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