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作 者:江磊 朱道飞[1] JIANG Lei;ZHU Daofei(Faculty of Metallurgical and Energy Engineering,Kunming University of Science and Technology,Kunming 650093,Chin)
机构地区:[1]昆明理工大学冶金与能源工程学院,昆明650093
出 处:《有色金属工程》2018年第4期68-72,84,共6页Nonferrous Metals Engineering
基 金:国家自然科学基金资助项目(51664040)
摘 要:铜冶炼全流程三炉耦合优化、实现冶炼成本最低的关键因素在于冰铜品位的控制。通过建立包含艾萨炉子、PS转炉子、阳极炉子模型的冰铜品位优化控制模型,并在考虑各生产单元之间互相约束基础上,以各炉冶炼成本最低为目标函数,建立铜冶炼全流程冰铜品位优化控制模型来优化冰铜品位,并提出一种分段实数编码的改进遗传算法来求解冰铜品位优化控制模型。结果表明,模型和算法是科学有效的,并获得最优冶炼冰铜品位为55.6%,对应最低冶炼成本为2 030.36元/t的阳极铜。The critical factor in the coupling optimization of the "three furnaces"in the whole process of copper smelting and the lowest cost of smelting realization is the control of matte grade.Considering the mutual constraints between the production units,the optimal control model of matte grade which contains ISA Smelter sub-model,PS Converter sub-model and Anode Furnace sub-model was established. The optimal control model of matte grade in whole process was established with the objective function of minimizing smelting cost of each furnace to optimize the matte grade. A piecewise real-coded modified genetic algorithm was put forward to solve the optimal control model. The experiment result shows that the model and algorithm are scientific and effective. The obtained optimum smelting matte grade is 55. 6%,corresponding to the minimum smelting cost of 2030. 36 yuan/t anode copper.
关 键 词:冰铜品位 优化控制模型 分段实数编码 改进遗传算法
分 类 号:TF02[冶金工程—冶金物理化学]
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