光谱学与光谱分析 |
|
|
|
|
|
Study on Quantificational Analysis Method for the Non-Crystalline Content in Blast Furnace Slag |
YAN Ding-liu, GUO Pei-min*,QI Yuan-hong, ZHANG Chun-xia, WANG Hai-feng, DAI Xiao-tian |
The State Key Laboratory for Advanced Steel Processes and Products, China Iron and Steel Research Institute Group, Beijing 100081, China |
|
|
Abstract Quantificational analysis method for the non-crystalline and crystalline contents in blast furnace slag was studied by means of X-ray diffraction. The process of quantificational analysis method includes standard samples preparation, samples preparation, X-ray diffraction measurement and data treatment. The data treatment includes integration areas of non-crystalline curve and crystalline peaks in certain diffraction angle range, linear fitting and quantificational coefficient determination. The preparation methods of standard samples for X-ray diffraction of blast furnace slag were proposed, including 100% crystalline sample and 100% non-crystalline sample. The 100% crystalline sample can be obtained by heating blast furnace slag for 12 h at 1 000-1 200 ℃, and the 100% non-crystalline sample can be obtained by quenching the molten slag with enough water. The X-ray diffraction method of quantificational analysis of non-crystalline content in blast furnace slag was proposed with the 100% non-crystalline and 100% crystalline standard samples, and the quantificational coefficient can be obtained by linear regression on the integration areas of non-crystalline curve and crystalline peaks of X-ray diffraction in the 2-theta range 20°-40°. This method is suitable for the blast furnace slag with the non-crystalline content over 80%. The non-crystalline and crystalline contents of original blast furnace slag are obtained by combining the X-ray diffraction results and mathematical treatment, and this method is suitable for the blast furnace slag with the non-crystalline content over 90%, whose process includes preparing the 100% crystalline standard sample by heating blast furnace slag for 12 h at 1 000-1 200 ℃, samples preparation with the 0.02 interval in the 0-0.1 mass ratio range of 100% crystalline to original slag, X-ray diffraction measurement of the samples prepared and data treatment using iterative linear regression. The quantificational analysis method for blast furnace slag can be applied to various kinds of blast furnace slag from different steel plants.
|
Received: 2007-03-12
Accepted: 2007-06-16
|
|
Corresponding Authors:
GUO Pei-min
E-mail: TF513
|
|
[1] GU Zhuo-qi, HE Chun-ping(谷卓奇,贺春平). Ironmaking(炼铁),2002,21(5): 52. [2] Feetherstone B. Iron and Steel Engineering, 1998, 75(7): 42. [3] Bisio G. Energy, 1997,22(5): 501. [4] Toshio Mizuochi, Tomohiro Akiyama, Taihei Shimada. Iron and Steel Institute of Japan International,2001, 41(12): 1423. [5] Mayumi Yoshinaga, Koichi Fujii, Tatsuhiko Shigematsu. Transactions of Iron and Steel Institute of Japan, 1982,22: 823. [6] DAI Xiao-tian, QI Yuan-hong, ZHANG Chun-xia(戴晓天,齐渊洪,张春霞). Journal of Iron and Steel Research(钢铁研究学报),2007, 19(5): 14. [7] QI Jing-yu(祁景玉). Structural Analysis of X-ray Diffraction(X射线结构分析). Shanghai: Tongji University Press(上海:同济大学出版社),2003. [8] GUO Pei-min, ZHANG Dian-wei, ZHAO Pei(郭培民,张殿伟,赵 沛). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2007,27(4): 816. [9] YU Quan-zhi, SONG Lian-ke, CHI Yan-ling, et al(于全芝,宋连科,迟艳玲, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2004,24(2): 248. [10] Guo Peimin, Li Guobao, Zhao Fei, et al. Journal of the Electrochemical Society,2003, 150(9): H201. [11] CHU Gang(储 刚). Acta Physica Sinica(物理学报),1998,47(7):1143. [12] CHU Gang(储 刚). Acta Physica Sinica(物理学报),1995,44(10):1679. |
[1] |
LIU Hao-dong1, 2, JIANG Xi-quan1, 2, NIU Hao1, 2, LIU Yu-bo1, LI Hui2, LIU Yuan2, Wei Zhang2, LI Lu-yan1, CHEN Ting1,ZHAO Yan-jie1*,NI Jia-sheng2*. Quantitative Analysis of Ethanol Based on Laser Raman Spectroscopy Normalization Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3820-3825. |
[2] |
LIN Hong-jian1, ZHAI Juan1*, LAI Wan-chang1, ZENG Chen-hao1, 2, ZHAO Zi-qi1, SHI Jie1, ZHOU Jin-ge1. Determination of Mn, Co, Ni in Ternary Cathode Materials With
Homologous Correction EDXRF Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3436-3444. |
[3] |
HUANG Li, MA Rui-jun*, CHEN Yu*, CAI Xiang, YAN Zhen-feng, TANG Hao, LI Yan-fen. Experimental Study on Rapid Detection of Various Organophosphorus Pesticides in Water by UV-Vis Spectroscopy and Parallel Factor Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3452-3460. |
[4] |
LI Zhong-bing1, 2, JIANG Chuan-dong2, LIANG Hai-bo3, DUAN Hong-ming2, PANG Wei2. Rough and Fine Selection Strategy Binary Gray Wolf Optimization
Algorithm for Infrared Spectral Feature Selection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3067-3074. |
[5] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
[6] |
KONG De-ming1, LIU Ya-ru1, DU Ya-xin2, CUI Yao-yao2. Oil Film Thickness Detection Based on IRF-IVSO Wavelength Optimization Combined With LIF Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2811-2817. |
[7] |
ZHAO Yu-wen1, ZHANG Ze-shuai1, ZHU Xiao-ying1, WANG Hai-xia1, 2*, LI Zheng1, 2, LU Hong-wei3, XI Meng3. Application Strategies of Surface-Enhanced Raman Spectroscopy in Simultaneous Detection of Multiple Pathogens[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2012-2018. |
[8] |
CHENG Xiao-xiang1, WU Na2, LIU Wei2*, WANG Ke-qing2, LI Chen-yuan1, CHEN Kun-long1, LI Yan-xiang1*. Research on Quantitative Model of Corrosion Products of Iron Artefacts Based on Raman Spectroscopic Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2166-2173. |
[9] |
CHEN Rui1, WANG Xue1, 2*, WANG Zi-wen1, QU Hao1, MA Tie-min1, CHEN Zheng-guang1, GAO Rui3. Wavelength Selection Method of Near-Infrared Spectrum Based on
Random Forest Feature Importance and Interval Partial
Least Square Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1043-1050. |
[10] |
DENG Xiao-jun1, 2, MA Jin-ge1, YANG Qiao-ling3, SHI Yi-yin1, HUO Yi-hui1, GU Shu-qing1, GUO De-hua1, DING Tao4, YU Yong-ai5, ZHANG Feng6. Visualized Fast Identification Method of Imported Olive Oil Quality Grade Based on Raman-UV-Visible Fusion Spectroscopy Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1117-1125. |
[11] |
WANG Hai-ping1, 2, ZHANG Peng-fei1, XU Zhuo-pin1, CHENG Wei-min1, 3, LI Xiao-hong1, 3, ZHAN Yue1, WU Yue-jin1, WANG Qi1*. Quantitative Determination of Na and Fe in Sorghum by LIBS Combined With VDPSO-CMW Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 823-829. |
[12] |
XU Wei-xin, XIA Jing-jing, WEI Yun, CHEN Yue-yao, MAO Xin-ran, MIN Shun-geng*, XIONG Yan-mei*. Rapid Determination of Oxytetracycline Hydrochloride Illegally Added in Cattle Premix by ATR-FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 842-847. |
[13] |
ZHENG Li-na1, 2, XUAN Peng1, HUANG Jing1, LI Jia-lin1. Development and Application of Spark-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 665-673. |
[14] |
GAO Xi-ya1, 2, 3, ZHANG Zhu-shan-ying1, 2, 3*, LU Cui-cui1, 2, 3, MENG Yong-ji1, 2, 3, CAO Hui-min1, 2, 3, ZHENG Dong-yun1, 2, 3, ZHANG Li1, 2, 3, XIE Qin-lan1, 2, 3. Quantitative Analysis of Hemoglobin Based on SiPLS-SPA
Wavelength Optimization[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 50-56. |
[15] |
LI Yuan1, ZHANG Wen-bo1, CHEN Xiao-lin2, 3, LI Han1, ZHANG Guan-jun1. Application of Gaussian Process Regression on the Quantitative Analysis of the Aging Condition of Insulating Paper by Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3073-3078. |
|
|
|
|