Evaluation of metal aging grade based on characteristic spectral line ratio and time-resolved laser-induced breakdown spectroscopy
BAI Kaijie1, DONG Meirong*2, SHANG Zihan2, CAI Junbin2, LU Weiye1,2, LU Jidong2
1. Guangdong Institute of Special Equipment Inspection and Research Shunde Branch,Foshan 528300,China; 2. College of Electric Power,South China University of Technology,Guangzhou 510640,China
Abstract：Laser-induced breakdown spectroscopy (LIBS) can realize the rapid in-situ monitoring of the state of heat-resistant steel, and provide security for operation and production.A portable LIBS device was used to explore the optimization scheme of heat-resistant steel aging grade evaluation model based on LIBS.The typical T91 heat-resistant steel was used as the experimental sample. Firstly, the LIBS spectral characteristics of alloying elements Cr, Mn and substrate element Fe were investigated. It was found out that there was a linear correlation between the intensity ratio of characteristic spectral lines and the aging grade of heat-resistant steel.Then the evolution of the characteristic spectra of heat-resistant steel under different delay times was compared, and the spectral information contained in the time-resolved spectral matrix was analyzed.Finally, the spectral line intensity ratio and time-resolved spectral matrix were used as modeling data sources, and the aging grade evaluation model was established by combining the feature selection method of recursive feature elimination (REF), linear discriminant analysis (LDA) and support vector machine (SVM).The results showed that the performance of the improved model is better than the model was established based on single delay time, which can get 96.18% prediction accuracy.The results provided an optimization method and scientific basis for the LIBS heat-resistant steel aging grade evaluation.
白凯杰, 董美蓉, 尚子瀚, 蔡俊斌, 卢伟业, 陆继东. 基于特征谱线比与时间分辨激光诱导击穿光谱的金属老化等级评估[J]. 冶金分析, 2023, 43(7): 29-36.
BAI Kaijie, DONG Meirong, SHANG Zihan, CAI Junbin, LU Weiye, LU Jidong. Evaluation of metal aging grade based on characteristic spectral line ratio and time-resolved laser-induced breakdown spectroscopy. , 2023, 43(7): 29-36.
[1] Song W,Hou Z,Gu W,et al.Industrial at-line analysis of coal properties using laser-induced breakdown spectroscopy combined with machine learning[J].Fuel,2021,306:121667. [2] Yan C,Zhang T,Sun Y,et al.A hybrid variable selection method based on wavelet transform and mean impact value for calorific value determination of coal using laser-induced breakdown spectroscopy and kernel extreme learning machine[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2019,154:75-81. [3] Han P C,Yang K,Jiao L Z,et al.Rapid quantitative analysis of potassium in soil based on direct-focused laser ablation-laser induced breakdown spectroscopy[J].Frontiers in Chemistry,2022,10:967158. [4] 辛勇,李洋,蔡振荣,等.激光诱导击穿光谱液态金属成分在线分析仪在线监测熔融铝液中元素成分[J].冶金分析,2019,39(1):15-20. XIN Yong,LI Yang,CAI Zhenrong,et al.On-line monitoring of elemental composition in molten aluminum by laser-induced breakdown spectroscopy online analyzer for liquid metal composition[J].Metallurgical Analysis,2019,39(1):15-20. [5] Myakalwar A K,Sandoval C,Velásquez M,et al.LIBS as a spectral sensor for monitoring metallic molten phase in metallurgical applications—a review[J].Minerals,2021,11(10):1073. [6] Fu H,Wang H,Jia J,et al.Standard reference line combined with one-point calibration-free laser-induced breakdown spectroscopy (CF-LIBS) to quantitatively analyze stainless and heat resistant steel[J].Applied Spectroscopy,2018,72(8):1183-1188. [7] Bryukhova A S,Kuznetsov A A,Seliverstova I V,et al.Evaluation of aging of reinforced concrete structures by laser-induced breakdown spectroscopy of reinforcement corrosion products[J].Journal of Applied Spectroscopy,2020,87(5):800-804. [8] Alrebdi T A,Fayyaz A,Ben Gouider Trabelsi A,et al.Vibrational emission study of the CN and C2 in Nylon and ZnO/Nylon polymer using laser-induced breakdown spectroscopy(LIBS)[J].Polymers,2022,14(17):3686. [9] 李俊彦,陆继东,李军,等.不同硬度受热面材料的激光诱导等离子体光谱特性分析[J].中国激光,2011,38(8):233-238. LI Junyan,LU Jidong,LI Jun,et al.Laser-induced plasma spectra of heating surface materials with different hardnesses[J].Chinese Journal of Lasers,2011,38(8):233-238. [10] 潘圣华,陆继东,姚顺春,等.金相组织对激光诱导钢铁等离子体的影响[J].中国激光,2010,37(8):2126-2130. PAN Shenghua,LU Jidong,YAO Shunchun,et al.Impact of metallurgical structure on laser induced steel plasma[J].Chinese Journal of Lasers,2010,37(8):2126-2130. [11] 戴沅,李军,钟万里,等.不同金相组织12Cr1MoV的等离子体特性[J].光学学报,2014,34(3):317-322. DAI Yuan,LI Jun,ZHONG Wanli,et al.Plasma characteristics of different microstructures of steel 12Cr1MoV[J].Acta Optica Sinica,2014,34(3):317-322. [12] 戴沅,董璇,钟万里,等.12Cr1MoV晶粒度等级与激光诱导击穿光谱特性的关联性研究[J].中国激光,2014,41(4):269-274. DAI Yuan,DONG Xuan,ZHONG Wanli,et al.Study of the relevance between different grain sizes of 12Cr1MoV and characteristics of laser induced breakdown spectroscopy[J].Chinese Journal of Lasers,2014,41(4):269-274. [13] 李军.激光诱导击穿光谱应用于电站锅炉受热面组织结构和性能诊断的研究[D].广州:华南理工大学,2016. [14] Li J,Lu J,Dai Y,et al.Correlation between aging grade of T91 steel and spectral characteristics of the laser-induced plasma[J].Applied Surface Science,2015,346(8):302-310. [15] Lu S,Shen S,Huang J,et al.Feature selection of laser-induced breakdown spectroscopy data for steel aging estimation[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2018,150(12):49-58. [16] Huang J,Dong M,Lu S,et al.Estimation of the mechanical properties of steel via LIBS combined with canonical correlation analysis (CCA) and support vector regression (SVR)[J].Journal of Analytical Atomic Spectrometry,2018,33(5):720-729. [17] Huang J,Dong M,Lu S,et al.A hybrid model combining wavelet transform and recursive feature elimination for running state evaluation of heat-resistant steel using laser-induced breakdown spectroscopy[J].Ana-lyst,2019,144(12):3736-3745. [18] Zhang Y,Dong M,Cai J,et al.Study on the evaluation of the aging grade for industrial heat-resistant steel by laser-induced breakdown spectroscopy[J].Journal of Analytical Atomic Spectrometry,2022,37(1):139-147. [19] Cai J,Dong M,Zhang Y,et al.Estimating the aging grade of heat-resistant steel by using portable laser-induced breakdown spectroscopy[J].Atomic Spectroscopy,2021,42(2):43-50. [20] Lu S,Dong M,Huang J,et al.Estimation of the aging grade of T91 steel by laser-induced breakdown spectroscopy coupled with support vector machines[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2018,140(2):35-43. [21] 曾庆栋,袁梦甜,朱志恒,等.便携式激光诱导击穿光谱最新研究进展[J].中国光学,2021,14(3):470-486. ZENG Qingdong,YUAN Mengtian,ZHU Zhiheng,et al.Research progress on portable laser-induced breakdown spectroscopy[J].Chinese Optics,2021,14(3):470-486. [22] 全国钢标准化技术委员会.GB/T 2039—2012金属材料 单轴拉伸蠕变试验方法[S].北京:中国标准出版社,2012. [23] 中华人民共和国国家发展和改革委员会. DL/T 939—2005 火力发电厂锅炉受热面管监督检验技术导则[S].北京:中国标准出版社,2005.
