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

发布时间：2018-04-15 14:08

本文选题：X射线衍射 + X射线荧光光谱　；参考：《光谱学与光谱分析》2017年08期

【摘要】：以不同处理工艺钢渣,即转炉热泼渣、转炉滚筒渣、铸余渣、铁水脱硫渣、电炉热泼渣和电炉滚筒渣作为研究对象。利用X射线衍射仪和X射线荧光光谱分析仪研究钢渣的化学成分与物相组成。利用BP神经网络模型建立钢渣活性指数预测模型,研究化学成分、物相组成与活性的关系。结果表明:钢渣的处理工艺不同,其化学成分与物相组成存在明显差异;钢渣活性指数预测模型具有良好的符合性,即相对误差为2.42%和-2.54%,能充分反映输入层与输出层之间的映射关系。
[Abstract]:The research object is the steel slag of different treatment processes, that is, converter hot throwing slag, converter drum slag, cast residue slag, molten iron desulphurization slag, electric furnace hot cast slag and electric furnace drum slag.The chemical composition and phase composition of steel slag were studied by X ray diffractometer and X ray fluorescence spectrometer.The prediction model of steel slag activity index was established by BP neural network model, and the relationship between chemical composition, phase composition and activity was studied.The results show that the chemical composition and phase composition of steel slag are different with different treatment processes, and the prediction model of steel slag activity index has good conformance.The relative error is 2.42% and -2.54, which can fully reflect the mapping relationship between the input layer and the output layer.
【作者单位】：西安建筑科技大学材料与矿资学院;中冶宝钢技术服务有限公司;
【基金】：国家自然科学基金项目(50872105)资助
【分类号】：O657.34;X757

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