铜精炼过程重油消耗泛函混沌优化器设计

Design on functional chaos optimizer about heavy oil consumption in copper refining process

基于铜精炼过程中保温阶段与氧化阶段的热工机理建立了铜精炼过程重油消耗真实目标泛函,采用泛函分析与混沌优化算法等理论相结合对其进行融合处理,得出了能计算铜精炼过程中铜液最优升温曲线、最优升温速度曲线以及能实现全局优化的重油消耗泛函混沌优化器.重油消耗泛函混沌优化器应用结果表明,重油耗量/t阳极铜降低了9.20%,铜精炼炉烟囱排烟林格曼黑度由3降低为1.

A real objective functional about the least consumption of heavy oil in the copper refining process is established based on heat transfer mechanism in heat preservation phase and oxidation phase in copper refining process. After processing the objective functional by fusing functional analysis and chaos optimization algorithm, a functional chaos optimizer about heavy oil consumption is obtained, from which the optimal heavy oil consumption, optimal rising temperature and optimal velocity of rising temperature about crude copper liquid can be decided in copper refining process. The results of its application reveal that heavy oil consumption per ton of anode copper has been reduced by 9.20% and Ringelman concentration of fume from chimney of copper refining rotary anode furnace has also been changed from 3 to 1.