钢厂
冷轧硅钢废水处理现状、问题及对策浅析
就冷轧硅钢废水处理生产中面临的主要问题进行分析,从技术角度及运行管理角度提出工艺优化升级改进措施及应对策略;同时从后续深度处理,逐步实现零排放目标的角度进行探讨,为冷轧硅钢废水减量化、出路乃至废水零排放提供一些思路。 The main problems in the wastewater treatment process of cold-rolled silicon steel lines are analyzed and process upgrading measures and optimization strategy are put forward from both technical and management views.At the same time,downstream deep treatment to gradually achieve the target of zero discharge is discussed,to provide some ideas for reduction or even zero discharge of wastewater from cold-rolled silicon steel lines.
正火对双辊薄带连铸5.28%Si-1.11%Al无取向高硅钢磁性能的影响
采用双辊薄带连铸工艺试制了2.6 mm厚5.28%Si-1.11%Al高硅钢薄带,对比了1050℃×5 min正火及不正火铸带280℃冷轧至0.5 mm后,再经900~1100℃退火的磁性能。结果表明,高硅钢铸带显微组织为等轴晶组织,正火后铸带边部晶粒长大,中心层晶粒变化较小。成品中析出物主要为较粗大的AlN和AlN+MnS复合析出物,尺寸为0.5~2.5μm。与不正火试样相比,正火试样成品铁损大幅降低,磁感小幅下降;随退火温度的升高,两种工艺下铁损和磁感都是先降低后升高,在1050℃出现最低值。 2.6 mm thickness 5.28% Si-1.11% Al non-oriented high silicon steel was produced by twin roll thin strip casting.Magnetic property of the strip un-normalized and normalized at 1050 ℃×5 min was contrasted after cold rolled to 0.5 mm at 280 ℃ and 900-1100 ℃ final annealing.The results show that microstructure of the strip is equiaxed crystal.The surface grain is coarsened and the center layer grain has little change of the normalized strip.The main precipitates are AlN and MnS+AlN with 0.5-2.5 μm s...
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...
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...
树脂含量对半无机型无铬无取向硅钢涂层性能的影响
本文研究了丙烯酸树脂含量对以Al(H2PO4)3为基料的无铬无取向硅钢绝缘涂层各项性能的影响.用盐雾实验、动电位极化及交流阻抗等试验手段研究了不同树脂含量对硅钢绝缘涂层的耐盐雾性能和电化学行为的影响,同时采用SEM对涂层的表面形貌和附着性进行研究.结果表明,树脂含量为19.9~29.4%时,涂层的耐蚀性和附着性最好;树脂含量过多时,涂层的耐蚀性和附着性均较差. This paper studies the influence of acrylic resin on the performance of insulating coating of aluminum dihydrogen phosphate on chromium-free non-oriented silicon steel.Salt spray experiment,potentiodynamic polarization and electrochemical impedance spectroscopy were used to study the influence of acrylic resin content on the salt spray resistance and electrochemical behavior of the insulation coating of nonoriented silicon steel.The surface morphologys and adhesion of coating were tested by SEM....
常化和退火工艺对冷轧无取向硅钢高频磁性能和强度的影响
冷轧无取向硅钢(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N)经890℃或940℃3 min常化的2.3 mm热轧板冷轧成0.35 mm薄板。研究了常化温度和800920℃3 min退火对该钢高频(400Hz)磁性能和抗拉强度的影响。结果表明,830920℃退火时高频铁损P10/400值最低,随退火温度增加,晶粒尺寸增大,钢的抗拉强度降低;该钢的最佳热处理工艺为常化温度940℃,退火温度830℃,其抗拉强度Rm、高频铁损P10/400和磁感应强度J50分别为565 MPa,21.5 W/kg和1.69 T。 The cold-rolled non-oriented silicon steel(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N) is cold-rolled to 0.35 mm sheet from 2.3 mm hot-rolled plate normalized at 890 ℃ or 940℃ for 3 min.The effect of normalizing temperature and annealing process at 800 920 °C for 3 min on high frequency(400 Hz) magnetic properties and tensile strength of the steel has been tested and studied.Results show that with annealing at 830 920 ℃the high frequency iron loss value P10...
大压下率冷轧无取向硅钢织构演变及性能
组织和织构是影响无取向硅钢性能的重要因素。为改善产品性能,研究了冷轧压下率(71.7%~87.0%)对高牌号无取向硅钢组织、织构、磁性能和力学性能的影响。结果表明,随冷轧压下率的增加,退火晶粒平均尺寸先减小后增大;高斯和立方织构强度减弱,γ纤维织构增强,α纤维织构转变为较强的α*({h, 1, 1}〈1/h, 1, 2〉)织构,并随冷轧压下率的增加而增强,同时其峰值逐渐向{111}面移动;工频铁损P1.5/50、高频铁损P1.0/400和磁极化强度J5000同时降低,屈服强度变化不大,表面硬度逐渐增加。当冷轧压下率由84.7%增至87.0%、厚度减至0.30 mm时,高频铁损降幅是工频铁损的11倍,表面硬度增幅变大。以上研究成果对硅钢减薄后织构及组织的优化提供了很好的指导。 Microstructure and texture are critical factors on non-oriented silicon steel properties. In order to improve product properties, this paper studied the effect of cold rolling reduction rate(71.7%-87.0%) on microstructure, texture, magnetic properties and mechanical properties of high-grade non-oriented silicon steel. The results show that with the increase of cold rolling reduction rate, the average size of annealing grain decreases first and then increases. The intensity of Goss and λ fiber te...
二次冷轧法对薄带连铸无取向高硅钢组织和磁性能的影响
采用双辊薄带连铸技术试制了3.98%Si-0.71%Al无取向硅钢铸带,研究了二次冷轧法对硅钢组织和磁性能的影响。结果表明:硅钢铸带显微组织为等轴晶组织,铸带再结晶较完全,常化对铸带显微组织影响较小。二次冷轧工艺和一次冷轧工艺下,最终退火后成品显微组织为等轴晶组织,二次冷轧法最终退火后的晶粒尺寸小于一次冷轧法。二次冷轧法能够提高成品磁性能. Effect of double cold rolling on magnetic properties and microstructure of 3.98%Si-0.71%Al non-oriented silicon Steel Sheets cast by twin-roll thin strip casting process were investigated.The results show that the structure of the thin strip is equiaxed crystal,the recrystallization is complete and normalizing has lesser effect on microstructure.Using both cold rolled and double cold rolled process,the microstructure is equiaxed grain after final annealing.The average grain size of annealed shee...
电动汽车电机用电工钢疲劳性能测试技术研究
电动汽车电机在高速旋转时承受离心力和电磁力的作用,在进行电机转子设计时,既要考虑电磁性能,还要考虑机械性能。对电机转子受力情况进行了综述,分析了转子用电工钢疲劳性能参数的重要性,详细阐述了试样抛光、表面处理、试样的对中和安装对测试结果的影响。 The motor of electric vehicle bears big force for high speed rotors,mainly including centrifugal and electromagnetic forces.The magnetic and mechanical aspects of the electrical steel are crucial to machine design.In this paper,the forces applied on the motor were summarized and importance of fatigue properties was analyzed.The influence of specimen polish,surface treatment,alignment and installation on fatigue testing result were represented in detail.
一类非线性系统控制方法在硅钢生产上的应用
硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re...

