(1. 中南大学 冶金与环境学院，长沙 410083；
2. 中南大学 中国有色金属工业清洁冶金工程研究中心，长沙 410083)
摘 要: 通过分析氧气底吹炼铜过程产生的高品位铜锍中Cu、Fe、S、SiO2等组元含量变化趋势，结合冶金过程原理，研究上述各组元造锍行为及组元含量间的映射关系。结果表明：Cu、Fe、S、SiO2等组元在铜锍中的造锍行为具有相互关联性，其中Cu、Fe、S相互之间的关联性较强，Cu-Fe、Cu-S、Fe-S含量之间线性相关系数R2分别为0.96、0.89、0.79，但SiO2与Cu、Fe、S之间的关联性较弱。构造了Cu、Fe、S组元含量复合映射模型，该复合模型预测精确度高于单因素模型的预测精确度，可为生产过程中高品位铜锍多组元含量的精细调控，及熔炼-吹炼过程热量精确分配提供指导。
关键字: 氧气底吹；炼铜；铜锍；预测模型
（1. School of Metallurgy and Environment, Central South University, Changsha 410083, China;
2. Cleaner Metallurgical Engineering Research Center, Nonferrous Metal Industry of China, Changsha 410083, China）
Abstract:The multicomponent matting behavior and mapping relationship of Cu, Fe, S and SiO2 were investigated by analyzing Cu, S, Fe and SiO2 content variation trends of high-grade matte in copper oxygen bottom blowing bath smelting (BBS) process , combined with metallurgical process principles. The results show that the matting behavior of Cu, Fe, S and SiO2 in matte have certain correlation, and the correlations of Cu, Fe and S are stronger. The correlation coefficients (R2) of Cu-Fe, Cu-S and Fe-S are 0.96, 0.89 and 0.79, respectively. But the correlations of SiO2 with Cu, Fe and S are weaker. The composite mapping model of the content of Cu, Fe and S is constructed, and its forecast accuracy is higher than that of the single factor model, so, it can be applied to the precise control of multicomponent content of high grade matte and the precise heat distribution between smelting and converting in the practical production process.
Key words: oxygen bottom blowing; copper smelting; matte; prediction model
