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.
Key words:X-Ray diffraction; X-Ray fluorescence; Steel slag; Active index; Prediction model
陈 华,李 辉,董 朔,顾恒星,杨 刚,徐德龙. 不同处理工艺钢渣的X射线衍射和X射线荧光光谱分析及其活性指数预测模型[J]. 光谱学与光谱分析, 2017, 37(08): 2590-2593.
CHEN Hua, LI Hui, DONG Shuo, GU Heng-xing, YANG Gang, XU De-long. X-Ray Diffraction (XRD) and X-Ray Fluorescence (XRF) Analysis of Steel Slags in Different Treatment Process and Active Index Prediction Model. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(08): 2590-2593.
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