钢厂
日本取向电工钢生产工艺最新研发进展
根据相关的取向电工钢典型专利技术,概述了日本高磁感低铁损取向电工钢低温板坯加热、抑制剂合理调节、关键成分Mn、C、Sn和Sb调节与利用、新型退火剂和绝缘溶液的制备及细化磁畴等生产工艺最新动态和进展情况,并提出了国内企业申请取向电工钢专利时应当借鉴之处。 According to related typical patent technology for grain-oriented electrical steel sheets,the recent trends and progress situation for production process of grain-oriented electrical steel sheets with high magnetic flux density and low core loss in Japan are summarized including low temperature slab heating,suitably regulating inhibitors,adjusting and utilizing key element Mn,C,Sn and Sb,manufacturing for new annealing agent and insulating solutions,and fining magnetic domain,and some suggestion...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...
化学气相沉积法制备6.5%Si高硅钢的研究
采用化学气相沉积(CVD)渗硅处理工艺连续制备6.5%Si高硅钢,具有优质的软磁性能,通过理论研究化学反应并且用简单的试验设备做进一步的探讨。根据试验的结果对连续制备6.5%Si高硅钢的CVD工艺构造提出全面、有效的建议,实现制备6.5%Si高硅钢系统。 CVD method for continuously manufacturing 6.5%Si Steel Sheet has excellent soft magnetic.Carried out a theoretical study of related chemical reaction and performing basic research with a simple test apparatus.Based on the results,finally proposed an overall process configuration to realize such a production-CVD method for continuously manufacturing 6.5%Si Steel Sheet.
RH精炼工艺对无取向硅钢MgO·Al_2O_3夹杂物演变影响及控制
基于BOF→RH→CSP生产工艺,研究了RH精炼过程钢中夹杂物类型演变及MgO·Al2O3夹杂物形成规律,同时对MgO·Al2O3夹杂物的形成条件进行了热力学计算,借助CFD数值模拟软件研究了RH精炼过程卷渣行为。研究发现,RH精炼过程20和30 min时,w([MgO])/w([Al2O3])为0.005~0.020,未发现MgO·Al2O3夹杂物;RH出站后夹杂物w([MgO])/w([Al2O3])为0.3~0.5,且RH精炼结束后MgO·Al2O3夹杂物占夹杂物总量的58.4%;另外,RH精炼过程钢液表面速度CFD模拟结果为0.57 m/s,大于临界卷渣速度0.45 m/s,且顶渣成分与夹杂物成分相近,存在卷渣现象。热力学计算表明,钢液与炉渣平衡时钢中w([Al])为0.31%~0.37%,w([Mg])为0.00024%~0.00028%,在MgO·Al2O3生成区域之内。减少RH处理过程卷渣,浇铸过程下渣及控制顶渣和包衬相中MgO质量分数可抑制MgO·Al2O3夹杂物形成。 Based on the practical production of non-oriented silicon steel, the evolution of inclusion type and the formation of MgO·Al2O3inclusion were analyzed in the process of BOF→RH→CSP. The thermodynamic conditions for forming MgO·Al2O3inclusion were discussed and the behavior of slag entrapment of molten steel was also simulated by CFD software during RH refining. The results showed that the value of w([MgO])/w([Al2O3]) was in the range of 0.005-0.020 and no MgO · Al2O3 inclusion was observed at 20 ...
硅钢常化退火炉辊印缺陷预测分类预警方法研究
针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan...
大数据技术在硅钢产品质量管控中的应用实践
磁性能指标是硅钢产品最关键的质量指标之一,但是目前磁性能判定100%依赖于样品的离线实验室检测结果,生产线配置的在线检测仪的测量结果由于精度问题,不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上,利用大数据技术对生产数据进行分析与建模,构建不同磁性能指标在线检测模型,并在现有信息系统上完成模型库的集成部署,实现硅钢产品全长、多指标磁性能结果的拟合数据输出,支撑取样优化、精准分切、辅助综合判定等功能应用,进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d...
硅钢连退机组无氧化炉加热能力计算
无氧化炉具有加热效率高、投资与运营成本低、作业率高、表面质量及板型良好、NOx排放相对低等优势,在硅钢热处理领域应用前景广泛。本文阐述了确定无氧化炉(NOF)加热能力详细过程,涵盖炉温、炉断面尺寸、炉长、热平衡结算、加热能力计算等,为今后无氧化炉(NOF)在硅钢热处理应用时的设计提供了借鉴,同时也为今后明火直接加热的工业炉设计提供了参考。 Non-oxidation furnace has the advantage s of high heating efficiency, low investment and operation cost, high operation rate, good surface quality and plate shape, and relatively low NOxemission,and it still has wide application prospect in the field of silicon steel heat treatment. The detailed process of determining the heating capacity of a non-oxidizing furnace(NOF) is described, covering furnace temperature, furnace section size, furnace length, heat balance settlement, heating capacity cal...
成品第二次退火工艺对高牌号无取向电工钢35W300组织和性能的影响
对高牌号无取向电工钢35W300的成品进行了第二次退火,对第二次退火后的成品性能、纵横向磁性能差异和组织变化进行了分析。结果表明,随着第二次退火温度的升高,晶粒长大,磁性能优化。铁损平均值下降0.087 5W/kg,磁感平均值升高0.008T。第二次退火温度为820℃的产品的磁性能能够满足用户使用要求。 The product of high grade non-oriented electrical steel 35W300 was annealed at the second time.Microstructure,the difference of magnetic properties in the vertical and horizontal and were studied.The results show that the grain grew up and magnetic properties optimized with the increase of annealing temperature for the second time.Iron loss average declines in 0.0875 W/kg,magnetic induction average increases 0.008 T.The magnetic properties can meet the requirements of users at the second anneali...
脉冲磁场退火对取向硅钢磁性能的影响
通过对取向硅钢进行脉冲磁场退火实验,发现在相同的退火时间(6.0 min)内,低于1 T的脉冲磁场可以在一定程度上提高取向硅钢的磁感(B8),而高于1 T的脉冲磁场则会使取向硅钢的磁性能急剧恶化.同时发现,脉冲直流电加热方式会使取向硅钢的磁性能恶化.研究表明,脉冲磁场退火有望成为一种调控材料微观结构的有效手段. We have carried out experiments of annealing by pulse magnetic field.The results show that a pulse magnetic field with intensity lower than 1 T can promote magnetic induction density(B8) of grain-oriented silicon steel,while the magnetic properties deteriorate sharply when intensity is higher than 1 T.It has also been found that heating by using pulse direct current can cause the magnetic properties to deteriorate,in contrast to the traditional heating using resistance furnace.Our research shows...

