Fast and Continuous Analysis Method of Steel Pickling Solution Using Near-infrared Spectroscopy

被引:0
|
作者
Inose, Masao [1 ]
Matsushima, Tomohiro [2 ]
Kinoshiro, Satoshi [1 ]
Tahara, Kazunori [3 ]
Aizawa, Shigeyuki [3 ]
Tanaka, Hideko [4 ]
Ohara, Toshiki [5 ]
机构
[1] JFE Steel Corp, Steel Res Lab, Kawasaki Ku, 1-1 Minamiwatarida Cho, Kawasaki, Kanagawa 2100855, Japan
[2] JFE Technores Corp, Chiba Div, Tokyo, Japan
[3] JFE Steel Corp, East Japan Works, Kawasaki, Kanagawa 2100855, Japan
[4] Yokogawa Elect Corp, IAPF Business Innovat Ctr, Hyderabad, Telangana, India
[5] Yokogawa Elect Corp, IAPF Global Sales Ctr, Hyderabad, Telangana, India
来源
TETSU TO HAGANE-JOURNAL OF THE IRON AND STEEL INSTITUTE OF JAPAN | 2016年 / 102卷 / 02期
关键词
acid pickling; acid concentration; NIR;
D O I
10.2355/tetsutohagane.TETSU-2015-074
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
In the production line of steel sheet, surface of steel sheet is oxidized inevitably. So it is required to remove the oxide layer by acid pickling. it is very important for keeping the product quality stable,to control the acid concentration in pickling process. With the increase in line speed of steel sheet, the acid concentration of pickling solution changes a lot in short time. Therefore, it makes difficult for a conventional chemical analysis to catch up the change of concentration. Nowadays, NIR (Near-Infrared spectroscopy) has attracted attention as a rapid analytical method to determine the concentration of solutions. Therefore we carried out examination using NIR to measure the concentration for acid pickling solutions in steel-making process. The NIR spectra in the region of 9500 cm(-1) to 5000 cm(-1) include OH bond of stretch first over-tone (6800 cm(-1)) were used. The OH peak shape of aqueous solutions are altered by the interaction between water and other different species. Total acid and Fe concentration were calculated by multivariate analysis using the NIR spectra of the solution that contains those ion. Furthermore, the multivariate analysis conditions were optimized to improve the correlation between NIR analysis value and the chemical analysis values. The correlation coefficient between NIR analysis values and chemical analysis values reached 0.98, which is good enough for operation. NIR analyzer enabled to measure multiple components at the same time in 1 minute. This system was also tested at an actual pickling line, and good correlations were obtained.
引用
收藏
页码:8 / 13
页数:6
相关论文
共 50 条
  • [21] Analysis of lecithin by near-infrared spectroscopy
    Rathjen, T
    Lange, R
    Steinhart, H
    FETT-LIPID, 1998, 100 (08): : 358 - 363
  • [22] A Novel Method for Rapid Particle Size Analysis of Ibuprofen Using Near-infrared Spectroscopy
    Pecova, Monika Stojanovska
    Geskovski, Nikola
    Petrushevski, Gjorgji
    Makreski, Petre
    AAPS PHARMSCITECH, 2021, 22 (08)
  • [23] A Novel Method for Rapid Particle Size Analysis of Ibuprofen Using Near-infrared Spectroscopy
    Monika Stojanovska Pecova
    Nikola Geskovski
    Gjorgji Petrushevski
    Petre Makreski
    AAPS PharmSciTech, 22
  • [24] Near-infrared spectroscopy for fast determination of biomass components
    Liu, Hanbin
    Sun, Lan
    Li, Chenlin
    Varanasi, Patanjali
    Arora, Rohit
    Cheng, Gang
    Simmons, Blake A.
    Singh, Seema
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2011, 242
  • [25] A fast and efficient phenotyping method to estimate sugarcane stalk bending properties using near-infrared spectroscopy
    Ma, Fumin
    Wang, Maoyao
    Yan, Ning
    Adnan, Muhammad
    Jiang, Fuhong
    Hu, Qian
    He, Guanyong
    Shen, Yinjuan
    Wan, Yan
    Yang, Yixian
    Liang, Shaojing
    Chen, Xiaoru
    Zhang, Muqing
    Huang, Jiangfeng
    EUROPEAN JOURNAL OF AGRONOMY, 2024, 154
  • [26] ANALYSIS OF FABRIC CLEANER EFFICACY USING NEAR-INFRARED SPECTROSCOPY
    LEE, KAB
    OBRIEN, JA
    SOAP COSMETICS CHEMICAL SPECIALTIES, 1993, 69 (10): : 40 - &
  • [27] CLUSTER ANALYSIS OF CITRUS GENOTYPES USING NEAR-INFRARED SPECTROSCOPY
    Liao, Qiuhong
    Huang, Yanbo
    He, Shaolan
    Xie, Rangjin
    Lv, Qiang
    Yi, Shilai
    Zheng, Yongqiang
    Tian, Xi
    Deng, Lie
    Qian, Chun
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2013, 19 (03): : 347 - 359
  • [28] Detection of locusts using near-infrared spectroscopy and cluster analysis
    Xiong, Xuemei
    Wang, Yiming
    Zhang, Xiaochao
    ACTUAL TASKS ON AGRICULTURAL ENGINEERING, 2007, 35 : 199 - 204
  • [29] Fast Determination of the Composition of Pretreated Sugarcane Bagasse Using Near-Infrared Spectroscopy
    Ursula Fabiola Rodríguez-Zúñiga
    Cristiane Sanchez Farinas
    Renato Lajarim Carneiro
    Gislene Mota da Silva
    Antonio Jose Gonçalves Cruz
    Raquel de Lima Camargo Giordano
    Roberto de Campos Giordano
    Marcelo Perencin de Arruda Ribeiro
    BioEnergy Research, 2014, 7 : 1441 - 1453
  • [30] A PATHLENGTH CORRECTION METHOD FOR NEAR-INFRARED SPECTROSCOPY
    MILLER, CE
    NAES, T
    APPLIED SPECTROSCOPY, 1990, 44 (05) : 895 - 898