铝电解生产工艺自动控制研究

通过研究熔融电解质过热度对电流效率的影响,找到并建立190kA系列生产槽的最佳工艺技术条件和工艺操作管理制度,建立更合理可靠的过程监控与管理模型,从而达到电解质过热度的最佳控制效果,并将其数学模型应用于计算机的控制,以此获取大型预焙槽的节能高效生产。     

铝电解效应控制及其经济环境效益探讨

总结了我国第一条280kA预焙槽生产系列降低阳极效应系数的生产实践经验,提出现场浓度和原材料质量控制是有效降低阳极效应系数的保证,同时深入分析了提高效应管理的途径,指出新时期加强效应管理的重要性和迫切性,认为国内铝行业在效应管理方面赶上世界先进水平是可以实现的。     

大型预焙阳极电解槽的开发与应用

介绍了SY300(kA)以上级预焙阳极电解槽及供电整流系统的设计,为设计大型预焙阳极电解槽,开发了电解槽物理场仿真数学模型和工程设计软件。现已设计了7个系统的SY300kA电解槽和1个系列SY350kA电解槽,其中已有3个系列SY300kA电解槽投产运行,其运行情况良好。     

优质阴极在160kA预焙电解槽上的应用

电解槽使用寿命的长短是制约每个电解铝生产企业经济效益的一 个关键性因素之一,如何延长电解槽的使用寿命是电解生产企业研究的永恒课题。介绍了优质阴极在160 kA预焙电解槽上的应用情况,旨在提高电解铝的经济效益和延长电解槽的使用寿命。     

65kA自焙阳极铝电解槽的改造方案选择及实施

对将65kA系列自焙阳极铝电解槽改造成90kA中间点式加料预焙阳极铝电解槽的两个方案进行分析比较,并对选择的改造方案进行了实施。在改造实践中找出了存在问题的原因。     

500kA铝电解槽生产实践

介绍了500kA 大型预焙阳极铝电解槽在焙烧启动及一年多的生产实践中,技术条件、技术参数的保持及变化等,分析归纳了500kA 大型预焙阳极铝电解槽生产实践中的有关现象和存在问题。     

浅谈大型预焙槽的炉帮问题及处理措施

根据山西关铝股份有限公司的生产实际,分析了190 kA铝电解槽大型预焙槽炉帮异常的原因,并提出了相应的处理措施。     

铝电解槽内熔体与槽帮间换热系数计算

根据贵州铝厂160kA槽的现阶段槽膛内形及计算出的该槽膛内形下槽内衬温度分布规律,反推出槽内17处熔体与槽帮间的换热系数值。这些值的精确度,对贵铝的槽形而言,是很高的。     

某黄金冶炼尾渣中铁回收试验

对某黄金冶炼尾渣中铁的回收进行了试验,采用无烟煤为还原剂进行还原磁化焙烧,再进行2段磁选的方法回收得到铁精矿。考察了焙烧温度与时间、还原剂添加量以及2段磁选的磁场强度对试验的影响。试验结果表明:在焙烧温度为720℃、焙烧时间为50 min、还原剂添加量为14%、1段磁场强度为160 kA/m、2段磁场强度为140 kA/m的条件下,可以获得铁品位及铁回收率分别为65.27%和80.44%的高指标铁精矿。     

甘肃某厂500 kA预焙阳极铝电解槽生产实践

介绍甘肃某厂500 kA大型预焙阳极铝电解槽的焙烧启动及生产实践,分析大型预焙阳极铝电解槽技术特点和与中小型槽的区别,归纳500 kA大型预焙阳极铝电解槽生产实践中的有关现象和存在的问题。     

EVS160—630系列接触器在桥式起重机上的应用

CJ12系列交流接触器应用在桥式起重机上 ,经常出现故障 ,造成主回路短路烧损 ,影响生产。现修改原来的控制电路 ,用EVS16 0— 6 30系列低压真空接触器代替了CJ12系列接触器 ,效果好 ,无故障发生 ,提高了生产效率。     

Produktstromkontrolle des Aufgabestroms in die Aufbereitung bei LKAB in Kiruna, Nordschweden

LKAB (Luossavaara-Kiirunavaara AB) is mining a high grade iron ore deposit (apatite-magnetite ore) at Kiirunavaara. The deposit is one of the biggest ore deposits in the world. The apatite-magnetite ore of Kiirunavaara is divided into two main types from the practical and also from the traditional point of view: low phosphorous ore (B1, B2) and high phosphorous ore (D1, D3, D5). Until May 2009, the different types of crude ore were mined separately, but since then only one quality of crude ore has been produced to cope with the increasing production (26.5?Mt in 2010). The mining method is large scale sublevel caving in the Kiruna mine. When unloading the trains at the haulage system, underground automatical sampling was in use until 2009. The feed of the crude ore to the concentration plants KA1, KA2 and KA3 in Kiruna and SA in Svappavaara is now controlled at the sorting plant (KS) by sampling at three points partly manually, partly automatically. This sampling is now crucial for the production control and the evaluation of the feed of the crude ore because of the eliminated sampling underground. Also the traditional block model representing grade and tonnage, but particularly the new block model with the processing parameters will have a significant function for controlling and planning of the process at the concentration plants and thus be an essential part of the production chain in Kiruna.     

多因素对稀土电解槽电解效率影响研究

为解决稀土电解槽生产过程中电解效率不高的问题,以10kA稀土电解槽为研究对象,根据实际生产情况,确定了对电解效率影响较大的4个因素:阴极直径、阴极插入深度、纵向极间距、横向极间距。通过正交试验找出最佳因素组合。在阴极直径为70mm、阴极插入深度为370mm、纵向极间距为95mm、横向极间距为75mm条件下电解效率最高。实践验证结果表明,最佳因素组合条件下生产时电解槽电解产率最高。     

The Influence of the Cooling Rate during Quenching and Preheating Temperature on the Toughness of a Hot-work Tool Steel

Gross cracking of die-casting dies with inferior toughness is caused by low preheating temperature or slow quenching during heat treatment. The aim of this study was to clarify which preheating temperature and cooling rates rendered reasonable toughness in the tool steel Uddeholm Vidar Superior. To fulfill this goal, three series of Charpy V-notch specimens were quenched at different rates. Instrumented impact testing of the specimens was then performed at a temperature range of ?40 °C to 500 °C. Throughout the whole temperature range, the fastest quenched series had the highest toughness values and the most ductile fracture appearance, whereas, the difference in toughness between the two series of slower quenched specimens was small. Irrespective of the cooling rate, preheating must be at 300 °C to achieve maximum toughness. The highest toughness was obtained for a cooling rate that can never be achieved for large dies.     

Copper Removal from Mine Effluents: From Lab to Field Evaluations

The removal of metallic contaminants can be very complex due to intricate variations in coordination properties. Chelation is a useful tool that can be engineered to be more specific to a series of metals. A chelant treatment package was developed for the successful removal of copper from a mine effluent where its discharge criterion was being decreased to 25 μg/L. This evaluation explored a wide range of process variations such as pH, temperature, treatment dosage, and removal kinetics. The recommended chelant package was able to achieve levels below the ICP detection limit of 5 μg/L; levels of 7 μg/L were achieved at the mine site.     

Optimal Configuration in Production Planning and Control

The operational practice is undergoing fundamental changes due to the increasing complexity and new technological possibilities often summarized with the buzzword ‘Industrie 4.0’. Besides others, these trends will have major impacts on the way production is planned. This paper shows findings of a simulation-based evaluation of production planning and control methods regarding these challenges. Based on these fundamental insights, a framework for an optimal configuration in production planning and control is presented.     

真空断路器的大电流加速电寿命试验的可行性

通过对国产10KV/630A/20KA真空断路器实际电寿命试验以及大电流开断试验,研究了大功率纵磁场真空断路器采用大电流加速电寿命试验方法的可行性。     

基于瓦斯涌出时间序列的煤与瓦斯突出预报

通过对工作面突出前夕瓦斯涌出浓度时间序列（简称G序列）的分析,提出了利用股市技术分析方法进行突出预报,以山西晋城寺河煤矿“5·20”突出事故监测数据为基础,绘制了工作面G序列K线图。研究表明:正常生产时期,K线实体很小,为小K线或十字线,近似一条平稳水平线;突出前夕,G序列K线整体上呈上扬趋势,阳阴实体明显变大,K线上升过程中多次出现“三阳线”（中阳或大阳线）连拉,表现为一种脉冲信号。根据K线上述变化特征可实现突出预报。     

基于BPNN与ANFIS的铀矿产品价格时间序列预测比较研究

矿业项目投资决策系统涉及到矿产品价格、生产成本、市场需求及风险利率水平等主要变量,其中,矿石价格起主导作用,且其波动性呈非线性特征,难以用经典的时间序列理论来预测,因而难以实现矿业投资决策系统的最优化。以铀矿资源为例,采用BP神经网络与自适应模糊推理系统（ANFIS）技术,并结合时间序列技术分别建立铀矿产品价格的BP神经网络和ANFIS时间序列模型,并对铀矿产品价格的预测进行了比较分析,研究结果表明,铀矿石价格的ANFIS时间序列比BP神经网络时间序列具有较好的预测效果。