|
|
|
|
|
|
| X-Ray Diffraction (XRD) and X-Ray Fluorescence (XRF) Analysis of Steel Slags in Different Treatment Process and Active Index Prediction Model |
| CHEN Hua1, 2, LI Hui1, DONG Shuo2, GU Heng-xing1, 2, YANG Gang1, 2, XU De-long1 |
1. College of Materials and Mineral Resource，Xi’an University of Architecture and Technology，Xi’an 710055, China
2. MCC Baosteel Technology Services Co., Ltd., Shanghai 201999, China |
|
|
|
|
Abstract Steel slags in different treatment processes (such as layer pouring slag from converter, rotating furnace slag from converter, casting slag, desulfurized slag, layer pouring slag from electric furnace and rotating furnace slag from electric furnace) were set as the research objects. Research on steel slag’s chemical composition and phase composition was carried out by X-Ray diffraction (XRD) and X-Ray fluorescence (XRF). The relationship of chemical composition, phase composition and activity was fitted by steel slag activity index prediction model with back-propagation neural network. The results showed that steel slag treatment process is different, its chemical composition and phase composition are obviously different. Steel slag activity index prediction model is of good compliance, and the relative errors are 2.42% and -2.54%, which can fully reflect the mapping relationship between input layer and output layer.
|
|
Received: 2017-01-24
Accepted: 2017-04-10
|
|
|
|
[1] CHENG Fu-an(程福安). Journal of Xi’an University of Architecture & Technology·Natural Science Edition(西安建筑科技大学学报·自然科学版), 2009, 41(6): 871.
[2] Huang Y Z, Hao X W. Chemistry and Ecology, 2012, 28(1): 37.
[3] Taylor R, Richardson I G, Brydson R M D. Cement and Concrete Research, 2010, 40: 971.
[4] Nataliya V. Malyshkina, Fred L. Accident Analysis and Prevention，2009 (4): 54.
[5] YANG Duo(杨 铎). Journal of Dalian University(大连大学学报), 2014, 35(3): 19.
[6] HAN Min, WANG Ya-nan(韩 敏，王亚楠). Chinese Journal of Computers(计算机学报), 2010, 33(5): 841.
[7] SHANG Jian-li, ZHANG Hao, XIONG Lei, et al(尚建丽，张 浩，熊 磊，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(8): 2430. |
| [1] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
| [2] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
| [3] |
HAO Zi-yuan1, YANG Wei1*, LI Hao1, YU Hao1, LI Min-zan1, 2. Study on Prediction Models for Leaf Area Index of Multiple Crops Based on Multi-Source Information and Deep Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3862-3870. |
| [4] |
SUN Wei-ji1, LIU Lang1, 2*, HOU Dong-zhuang3, QIU Hua-fu1, 2, TU Bing-bing4, XIN Jie1. Experimental Study on Physicochemical Properties and Hydration Activity of Modified Magnesium Slag[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3877-3884. |
| [5] |
LI Xiao-li1, WANG Yi-min2*, DENG Sai-wen2, WANG Yi-ya2, LI Song2, BAI Jin-feng1. Application of X-Ray Fluorescence Spectrometry in Geological and
Mineral Analysis for 60 Years[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2989-2998. |
| [6] |
ZHU Yu-qi1, 2, ZHANG Xin2, DU Pan-pan2, LIU Shu1, ZHANG Gui-xin1, 2, GUAN Song-lei2*, ZHENG Zhong1*. Infrared Spectroscopy and X-Ray Spectroscopy Combined With
Inductively Coupled Plasma Mass Spectrometry for Quality
Control of Mongolian Medicine Yu Grain Soil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3163-3169. |
| [7] |
LI Yu-tang1, WANG Lin-zhu1, 2*, LI Xiang3, WANG Jun1. Characterization and Comparative Analysis of Non-Metallic Inclusions in Zirconium Deoxidized Steel[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2916-2921. |
| [8] |
LI Xin-xing1, 2, ZHANG Ying-gang1, MA Dian-kun1, TIAN Jian-jun3, ZHANG Bao-jun3, CHEN Jing4*. Review on the Application of Spectroscopy Technology in Food Detection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2333-2338. |
| [9] |
GAO Ya1, LIAO Cui-ping1, ALATAN Chaolumen2, CHEN Jian-bo3, TU Ya4*. X-Ray Diffraction and Infrared Spectral Analysis of the Differential Chemical Indicators Between the Raw and Milk-Processed Corals[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2494-2499. |
| [10] |
ZHOU Qing-qing1, LI Dong-ling1, 2, JIANG Li-wu1, 3*, WAN Wei-hao1, ZENG Qiang4, XUE Xin4, WANG Hai-zhou1, 2*. Quantitative Statistical Study on Dendritic Component Distribution of Single Crystal Blade Based on Microbeam X-Ray Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2112-2118. |
| [11] |
SUN Da-wei1, 2, 3, DENG Jun1, 2*, JI Bing-bing4. Study on the Preparation Mechanism of Steel Slag-Based Biomass Activated Carbon by Special Steel Slag-Discard Walnut Shells Based on ICP-MS[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2308-2312. |
| [12] |
DU Zhi-heng1, 2, 3, HE Jian-feng1, 2, 3*, LI Wei-dong1, 2, 3, WANG Xue-yuan1, 2, 3, YE Zhi-xiang1, 2, 3, WANG Wen1, 2, 3. A New EDXRF Spectral Decomposition Method for Sharpening Error Wavelets[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1719-1724. |
| [13] |
FENG Ying-chao1, HUANG Yi-ming2*, LIU Jin-ping1, JIA Chen-peng2, CHEN Peng1, WU Shao-jie2*, REN Xu-kai3, YU Huan-wei3. On-Line Monitoring of Laser Wire Filling Welding Process Based on Emission Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1927-1935. |
| [14] |
XU Ming-kun, LIN Jia-xiang, ZHANG Xiao-lin, LI Zhen-yin, WANG Ya-ming, LIU Chun-tai, SHEN Chang-yu, SHAO Chun-guang*. In Situ Detection of Structural Evolution of Isotropic Polypropylene Crystals During Uniaxial Stretching by Two-Dimensional X-Ray Diffraction Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1426-1433. |
| [15] |
SHI Zhi-feng1, 2, LIU Jia2, XIAO Juan2, ZHENG Zhi-wen1*. Investigation of Novel Method for Detecting Vanillin Based on X-Ray Diffraction Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1563-1568. |
|
|
|
|
