基于遗传算法的铜闪速熔炼过程控制优化

基于已建立的铜闪速熔炼神经网络模型,以能耗费用最低为目标,在工艺指标控制范围内,采用遗传算法对铜闪速熔炼过程的工艺参数进行了仿真优化计算。结果表明,当空气、分配风、工艺氧和中央氧的市场价格折合比值分别为0.05、0.1、0.4和0.45,精矿量为128 t,其成分(质量分数)为Cu 20.61%、S 27.59%、Fe 24.72%、SiO2 11.64%和MgO 1.39%时,铜闪速熔炼工艺参数的遗传优化值为空气15 011 m3、分配风1 302 m3、工艺氧17 359 m3、中央氧1 000 m3、熔剂13.6 t;与实践平均值相比,若采用优化工艺参数控制,熔炼能耗费用可降低4.6%。     

铜闪速炉沉淀池渣中锍液滴沉降机理及其影响因素

通过分析沉淀池内锍液滴的沉降机理,导出了渣中最大锍液滴直径的计算公式。根据闪速炉的实际生产条件,计算出渣中最大锍液滴直径的理论值为0.063 mm,并用矿相显微镜对沉淀池出口处的渣样进行了观察,渣中最大锍颗粒粒径为0.06 mm,两者结果一致。由此证明了沉降机理分析的正确性。在此基础上,进一步分析渣中锍夹带损失影响因素。结果表明:增大熔体中离散态分布的锍液滴直径是降低渣中铜夹带损失的重要措施;其次是升高渣温度有助于渣中锍的沉降;减小渣层厚度等措施对降低渣中铜夹带损失作用不大。     

Operation optimization of concentrate burner in copper flash smelting furnace

The software that simulates the flow, temperature, concentration and the heat generation field in the Outkumpu flash smelting furnace, was developed by a numerical method of the particle-gas flow together with some chemical reaction models. Many typical operating conditions were chosen for simulation in order to obtain the effect of the distribution air, process air, central oxygen and the oil-burner position etc. The concepts about optimum op-eration, 3C(concentration of high temperature, high oxygen and laden concentrate particles), are concluded from these simulated results, which have been checked primarily by operational experiments.     

Numerical simulation analysis of Guixi copper flash smelting furnace

A numerical simulation analysis for reactions of chalcopyrite and pyrite particles coupled with momentum,heat and mass transfer between the particle and gas in a flash smelting furnace is presented.In the simulation.the equations governing the gas flow are solved numerically by Eular method.The particle phase is introduced into the gas flow by the particle-source-in-cell technique(PSIC),Predictions including the fluid flow field,temperature field,concentration field of gas phase and the tracks of particles have been obtained by the numerical simulation.The visualized results show that the reaction of sulfide particles is almost completed in the upper zone of the shaft within 1.5m far from the central jet distributor (CJD)type concentrate burner,The simulation results are in good agreement with data obtained from a series of experiments and tests in the plant and the error is less than 2%.     

硫化铅矿闪速熔炼过程的热力学分析

基于最小吉布斯自由能原理,建立硫化铅矿闪速熔炼过程多相平衡热力学模型,考察熔炼温度(T)、吨矿氧量(VOVPTO)对粗铅含硫量、炉渣含铅量、烟气含铅量及铅在各平衡相中分配比的影响。结果表明:对一定用量和一定成分的硫化铅矿,随着T和VOVPTO的增大,粗铅含硫量可降至0.1%(质量分数)以下,但过高的VOVPTO会使渣含铅量升至60%(质量分数)以上,铅在粗铅中的分配比低于30%(质量分数);烟气中的铅主要以PbS形式存在,其含量随着T的升高及VOVPTO降低而增高。综合考虑铅的直收率及产物处理的难易程度,闪速炉直接炼铅应采取分区分步熔炼方式,先在氧化区制低硫铅,然后在还原区造低铅渣,且氧化区熔炼温度宜较低。     

高投料量下炼铜闪速炉内熔炼过程的数值模拟

以FLUENT 6.3为计算平台,建立了铜闪速炉熔炼过程数值模型,并针对高投料量下反应塔气粒两相变物理场信息分布变化特点展开仿真研究。结果表明:工艺风入炉后迅速膨胀,并在反应塔中心形成轮廓明显的主体气流柱;主体气流柱内外的温度和氧浓分布梯度变化较大;局部低温出现在精矿喷嘴下方,而高温反应核心区域则下移至反应塔中下部。综合多场耦合仿真结果可知:高投料量条件下精矿粒子与反应配风之间混合力度欠佳是造成高投料量反应塔内熔炼过程反应效率降低的主要原因。     

吹炼炉入炉铜锍品位的灰色预测

根据灰色理论 ,采用新陈代谢灰色建模法对铜锍品位的历史数据建立了GM (1 ,1 )模型群 ,并对各维模型进行了精度检验 ,计算表明维数为 4～ 6时模型精度达A级 ,维数继续增大则模型的精度变差。选出精度高的模型对当前加入连续吹炼炉的铜锍的品位进行预测并做均值化处理 ,采用此法对现场 90余班次的数据进行了预测计算 ,与化验值相比 ,预测值的平均绝对误差在± 0 .5%以内。     

铜闪速熔炼渣中砷的赋存状态和浸出毒性（英文）

铜冶炼含砷炉渣的高效安全处置取决于对其含砷物相及其浸出毒性的准确认识。采用X射线荧光光谱、X射线衍射、电子探针显微分析、扫描电子显微术和选择性逐级提取法对铜熔炼渣中的含砷物相进行鉴定,并基于对炉渣中不同含砷物相的选择性逐级提取结果探讨渣中砷浸出毒性的可能来源。结果表明,砷以水溶性砷、铜砷金属间化合物、铜砷硫化物以及固化在铁橄榄石和硅酸盐玻璃相中的砷等形式赋存在熔炼渣中。浮选过程可以去除熔炼渣中的水溶性砷并回收铜砷金属间化合物,降低渣尾矿的砷浸出毒性,使其符合USEPA和SEPA标准要求。     

铜闪速炉内颗粒受热过程的数学建模与数值优化

为了研究闪速炉冶炼颗粒着火延迟问题,建立反应塔内颗粒受热过程的数学模型,并进行计算.结果表明,在塔高0.6 m范围内,辐射换热对于颗粒的加热过程影响较大,而在反应塔0.6 m以下区域,对流换热占主导作用.鉴于强化对流换热过程对提高颗粒加热速度进而提高着火高度更有效,因此,建议采用高速热氧射流技术代替闪速炉内的天然气,使...     

基夫赛特式炉闪速炉功能区冶炼过程的同时平衡

基于硫化铅矿在闪速炉功能区冶炼过程的多相同时平衡原理，利用平衡摩尔量法分析和讨论熔炼温度、初始氧量和初始硫化铅量对平衡后各凝聚态产出量的影响。结果表明：在较高温度下，初始氧量的增加会使硫酸铅的产量增加，而硫化铅的产量降低；低氧量条件下不生成硫酸铅而生成硫化铅。考虑产物的后续碳还原处理，在冶炼过程中应选择高氧气输入量以生成容易处理的硫酸铅，而不是较难处理的硫化铅。     

Mathematical model of multistage and multiphase chemical reactions in flash furnace

1　ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅｆｌａｓｈｓｍｅｌｔｉｎｇｐｒｏｃｅｓｓｉｓｗｉｄｅｌｙｕｓｅｄｔｈｒｏｕｇｈｏｕｔｔｈｅｗｏｒｌｄｆｏｒｃｏｐｐｅｒｐｒｏｄｕｃｔｉｏｎ ,ａｃｃｏｕｎｔｉｎｇｆｏｒａｂｏｕｔ5 0 %ｏｆｇｌｏｂａｌｃａｐａｃｉｔｙｆｏｒｐｒｉｍａｒｙｃｏｐｐｅｒｐｒｏｄｕｃｔｉｏｎ .Ｉｔｉｓｂａｓｅｄｏｎｔｈｅｕｔｉｌｉｚａｔｉｏｎｏｆｔｈｅｈｅａｔｒｅｌｅａｓｅｄｂｙｏｘｉｄａｔｉｏｎｒｅａｃｔｉｏｎｓｏｆｔｈｅｓｕｌｆｕｒｉｃｃｏｎｃｅｎｔｒａｔｅｓ .Ｔｈｅｆｅｅｄｍｉｘｔｕ…     

铜复杂资源熔炼过程中杂质锑脱除的热力学模拟（英文）

研究铜冶炼过程Sb的反应机理,分析Sb在4种典型铜冶炼工艺中多相分配差异。建立富氧底吹铜冶炼工艺的多相平衡模型,研究原料中Cu、S和Sb含量对Sb多相分配比的影响。同时,应用该模型研究铜锍品位、富氧浓度、熔炼温度和氧矿比(标准状态下氧气流量与精矿加料速率之比)等工艺参数对Sb分配行为的影响。结果 表明,计算数据与实际生产结果和文献数据吻合良好。提高精矿中Cu含量、降低S和Sb含量,提高铜锍品位、富氧浓度和氧矿比,同时适当降低冶炼温度,有利于Sb向炉渣中定向富集。模拟结果可为复杂资源清洁高效处理及伴生元素综合回收提供理论指导。     

Simulation of aging process of lead frame copper alloy by an artificial neural network

1　INTRODUCTIONThefunctionsofleadframeinelectronicpackingareprovidingchannelsforelectronicsignalsbetweendevicesandcircuits ,andfixingdevicesoncircuitboards.Leadframealloysarerequiredtohavehighstrengthandgoodformabilityaswellashighelectri calandthermalconductivity .Cu basealloysarethemostpopularleadframealloysandareusedinplasticpackagingapplicationduetotheirhighthermalandelectricalconductivityaswellashighstrength[13] .Theaginghardening processinfabricationofleadframecopperalloymakesitpossi…     

Mathematical model of pyritic smelting process for copper-nickel mineral in oxygen top-blown furnace

1　INTRODUCTIONTheideaofrefiningcopperandnickelwithpyriticsmeltingprocessinoxygentop blownfurnacehascomeintobeingforitsachievementinoxygen converterofsteelmaking processfrom 196 0s.Thefirstpyriticsmeltingfurnacewithoxygentop blownsmeltingnickelhadbeenputintoproductionatNorthNickelCo .ofRussianin 1986 .Nowadays ,thistech nologyhasbeenimportedandemployedinJinchuanNonferrousMetalCo .ofChina .Inthepastdecades ,theutilizationofflashsmeltingfurnaceinnonferrous makinghasgotextensivedevelopmen…     

Intelligent modeling and optimization on time-sharing power dispatching system for electrolytic zinc process

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Thermodynamic analysis and process optimization of zinc and lead recovery from copper smelting slag with chlorination roasting

An efficient chlorination roasting process for recovering zinc (Zn) and lead (Pb) from copper smelting slag was proposed. Thermodynamic models were established, illustrating that Zn and Pb in copper smelting slag can be efficiently recycled during the chlorination roasting process. By decreasing the partial pressure of the gaseous products, chlorination was promoted. The Box−Behnken design was applied to assessing the interactive effects of the process variables and optimizing the chlorination roasting process. CaCl₂ dosage and roasting temperature and time were used as variables, and metal recovery efficiencies were used as responses. When the roasting temperature was 1172 °C with a CaCl₂ addition amount of 30 wt.% and a roasting time of 100 min, the predicted optimal recovery efficiencies of Zn and Pb were 87.85% and 99.26%, respectively, and the results were validated by experiments under the same conditions. The residual Zn- and Pb-containing phases in the roasting slags were ZnFe₂O₄, Zn₂SiO₄, and PbS.     

Recovery prediction of copper oxide ore column leaching by hybrid neural genetic algorithm

The artificial neural network (ANN) and hybrid of artificial neural network and genetic algorithm (GANN) were applied to predict the optimized conditions of column leaching of copper oxide ore with relations of input and output data. The leaching experiments were performed in three columns with the heights of 2, 4 and 6 m and in particle size of <25.4 and <50.8 mm. The effects of different operating parameters such as column height, particle size, acid flow rate and leaching time were studied to optimize the conditions to achieve the maximum recovery of copper using column leaching in pilot scale. It was found that the recovery increased with increasing the acid flow rate and leaching time and decreasing particle size and column height. The efficiency of GANN and ANN algorithms was compared with each other. The results showed that GANN is more efficient than ANN in predicting copper recovery. The proposed model can be used to predict the Cu recovery with a reasonable error.     

铜阳极泥选冶联合工艺有价金属走向考察及改进建议

铜阳极泥是资源综合回收的优选对象,分析各有价金属的分散情况对后续的回收有着指导性的方向作用。铜阳极泥选冶联合工艺较为成熟,具有不断外延拓展金属回收的空间。针对4000 t铜阳极泥物料的生产数据,考察了该工艺有价金属的走向,统计分析了金、银、硒、碲、铅、锑、铋、铜等在工艺流程中的分布率,摸清了有价金属主要分散情况。分析表明,金、银、硒、碲最大的分散点均为浮选尾矿,分别占分散总量的67%、37%、34%、58%,确定为重点管控对象。并结合统计分析结果对提高金、银、硒、碲回收率及铅、锑、铋、铜的回收提出了改进建议。     

人工神经网络在过程工业中的应用

当前,集过程实时监测、故障诊断、模拟、优化、控制以及调度等各层次功能于一体的过程工业生产过程综合自动化成了过程工业界和学术界共同关注的热点之一.与离散产品的制造业相比,由于流程型工业过程具有强非线性的特点,给实现流程工业综合自动化造成很大的困难,因此必须引入新的思路,开发新的方法.人工神经网络是一种模拟人类思维活动的并行分布式的信息处理系统,可用于映射任何连续函数及进行模式识别,同时还具有自学习功能,实现知识的自动获取,自20世纪90年代以来已在过程系统工程领域内受到广泛的瞩目.重点讨论了人工神经网络在过程系统建模、故障诊断以及在线优化等方面的应用,以展示这种方法在流程工业综合自动化中的良好应用前景.     

基于BP神经网络的钢轨闪光对焊接头灰斑面积预测

针对钢轨闪光对焊的特点,根据GAAS80/580焊机记录的压力、电流和动端位移随时间而变化的曲线,从中提取了10个主要影响接头灰斑面积的特征参数作为BP神经网络预测模型的输入量,建立了钢轨闪光对焊接头的灰斑面积预测模型.采用粒子群算法优化了BP神经网络的权值和阈值,并利用优化后的BP网络模型对接头灰斑面积进行了预测.结果表明,提取的特征参数能较好地反映焊接接头灰斑情况,粒子群算法优化的BP神经网络预测模型能较准确地预测出焊接接头灰斑面积.