钢厂
0.3 mm厚的高强无取向电工钢的退火组织与性能
借助光学显微镜、扫描电镜、交流磁性能测量仪和万能拉伸试验机研究了0.3 mm厚高强无取向电工钢冷轧板在780、820、860和900℃退火保温2 min后的组织、织构和性能。结果表明:在退火温度范围内,试验钢均发生了完全再结晶,得到等轴状的铁素体晶粒;随着退火温度的升高,平均晶粒尺寸从9.2μm增长到41.3μm,工频铁损和400 Hz高频铁损均先大幅减小后趋于平缓,磁感应强度先升高后降低。在820℃退火时,铁损P1.5/50=5.51 W/kg,P1.0/400=33.22 W/kg均处于较低值,磁感应强度B5000最大,为1.649 T。试验钢的屈服强度和抗拉强度均随退火温度的升高而降低,780℃退火时屈服强度为496 MPa, 900℃退火时降低至407 MPa。综合磁性能和力学性能考虑,试验钢的最佳退火温度是820℃。 Microstructure, texture and properties of 0.3 mm thick high strength non-oriented electrical steel cold rolled sheet annealed at 780 ℃, 820 ℃, 860 ℃ and 900 ℃ for 2 min were studied by means of optical microscope, scanning electron microscopy, AC magnetic property tester and universal tensile testing machine. The results show that in the annealing temperature range, complete recrystallization of the experimental steel occurs and equiaxed ferrite grains are obtained. With the increase of annealin...
新钢1580取向硅钢宽度窄尺原因分析
取向硅钢因其高磁导率、低矫顽力和大电阻系数等特性,被广泛应用于大中型变压器和大型电动机铁芯的制造。因取向硅钢性能和成分控制严格,生产工艺复杂,故其产品代表了钢铁企业特殊钢生产的最高水平。本文介绍了新钢公司卷板厂1580热连轧线生产取向硅钢过程中出现的窄尺问题,研究了取向硅钢产品的特点,分析了热轧过程中的组织转变,并结合生产实际提出了改进措施。通过对加热炉钢坯加热模式、粗轧轧制策略、精轧轧制工艺、二级模型等方面的优化和改进,取向硅钢窄尺情况明显好转,提高了产品的成材率和市场口碑。 The oriented silicon steel is widely used in the iron core manufacture of large and mediumsized transformers and large motors because of its high permeability, low coercivity and large resistance coefficient. Due to the performance and composition control of oriented silicon steel is strict, the production process is complex,therefore, its products represent the highest level of special steel production in iron and steel enterprises. This paper introduces the problem of narrow gauge in the produ...
云边一体化系统架构下硅钢制造管理业务数字化融合应用
提出以“云边一体化架构”构建硅钢智慧决策系统,来解决原硅钢制造L1~L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上,开发了云边协同的自学习型控制模型及业务决策模型,构建起硅钢“智慧大脑”,形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式,探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1~L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s...
无取向电工钢RH脱硫渣系的研究
在15 kg真空感应炉上,用CaO-Al2O3-SiO2-MgO渣系进行脱硫试验,探讨了脱硫渣系碱度、MI、Al2O3、CaF2对脱硫效果的影响。研究结果表明,随脱硫渣系碱度、MI、Al2O3和CaF2含量的增加,脱硫率都呈现先增加后减少的趋势。初始硫含量为0.009 33%~0.010 73%,加入脱硫渣系4 min时间内表观脱硫速率为(0.000 96~0.001 49)%/min,平均脱硫率为81.2%,最高达86.8%。当脱硫渣中w(CaO)=58.15%、w(SiO2)=4.85%、w(Al2O3)=25%、w(MgO)=6%、w(CaF2)=6%,脱硫效果最好,此时钢液中硫为0.001 33%。 Experiments on desulfurization of molten steel using CaO-Al2O3-SiO2-MgO based desulfurization slag was carried out in a 15 kg vacuum induction furnace. The effects of desulfurization slag basicity,MI, Al2O3and CaF2on desulfurization of molten steel were studied. The results show that with the increase of basicity,MI,Al2O3or CaF2in desulfurization slag,the desulfurization rate rises initially and then decreases. In addition,as the initial sulfur content is 0. 009 33% ~ 0. 010 73%,the apparent des...
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...
退火温度和时间对用电沉积法制备的高硅钢性能的影响
研究了退火温度和退火时间对电沉积硅钢试样中的断面层组织、硅在试样中的分布情况、织构分布和磁性能的影响。结果表明:退火温度为1000℃、退火时间为210 min时得到的试样晶粒分布均匀、硅在试样中分布均匀、硅平均浓度为6.3715%(接近6.5%)。试样的织构分析及磁性能检测的结果表明,在较高温度下延长退火时间可增加{100}和{110}面织构,降低铁损,所得试样的磁性能较为良好。 The effect of annealing temperature and time on the microstructure, distribution of silicon,texture and magnetism of the high silicon steel prepared by electrodeposition was investigated. The results showed that after annealing at 1000℃ for 210 min, the mean grain size of steel was about 190 μm with a uniform grain size distribution, and the silicon is also uniformly distributed on the entire cross section with an average Si concentration 6.3715%(close to 6.5%); With the increasing annealing tim...
高硅FeSi合金层对普通取向硅钢磁性能的影响
目的提高硅钢的磁性能。方法采用多弧离子镀技术,在普通取向硅钢薄板两面沉积高硅FeSi合金层制得高硅梯度硅钢,并进行热处理,观察其显微组织,测量磁性能。结果退火态高硅梯度硅钢表面的高硅FeSi合金层与基底结合紧密,均匀致密。高硅梯度硅钢中硅含量呈梯度分布,最表层硅质量分数为11.0%,随着深度增加,硅含量逐渐降低,在距表面20μm处硅质量分数仍能达到6.5%。沉积态高硅梯度硅钢的电阻率ρ、低频铁损P10/50、高频铁损P10/1k及磁感应强度B8分别为68.6μΩ·cm,0.82W/kg,83.3 W/kg和1.73 T,退火后分别为63.1μΩ·cm,0.44 W/kg,54.38 W/kg和1.89 T。结论由于表层高硅FeSi合金层的存在,梯度高硅钢的低频磁学性能良好,但高频损耗需进一步改善。 Objective To improve the magnetic properties of silicon steel. Methods FeSi alloy coatings with high-silicon content were deposited on the surface of common grain-oriented silicon steel by cathodic arc plasma evaporation,and then a kind of high silicon gradient steel was prepared. The morphologies,content and magnetic properties of the samples were tested. Results FeSi alloy coatings were featured with compact microstructures and excellent adhesive quality with the substrates. The silicon conten...
无取向电工钢织构的演变及其沿带钢宽度方向上的差异
采用EBSD检测技术,分析了50W800无取向电工钢在重要生产工序间织构的演变以及织构沿带钢宽度方向上的差异性。结果表明:热轧板织构沿带钢宽度方向上的差异性主要体现在表层织构。带钢边部表层织构主要由旋转立方织构、α纤维织构以及少量的γ纤维织构组成,带钢宽度1/4处的表层织构主要存在高斯织构,带钢宽度1/2处的表层织构主要为(110)面织构以及少量的铜型织构。各处的带钢宽度1/4处和1/2处的织构类型基本一致,都以α纤维织构和旋转立方织构为主。冷轧后,各处的表层织构类型差异较小,均为γ纤维织构和α纤维织构。由板宽边部至中心处织构强度值逐渐降低。退火后,各处织构的组分基本一致,为较强的γ纤维织构和较弱的(100)面织构。各处织构强度值差异较小,变化趋势与冷轧板一致。 The texture of non-oriented electrical steel 50W800 was detected by EBSD technique.The evolution of the texture between important processes and the difference of texture along the width direction of strip were analyzed.The result shows that the difference along the width direction of strip of texture at the surface of hot rolled plate is most obvious.The texture at the surface of strip edge is primarily made of rotating cube texture,αfiber texture and weakγfiber texture.Goss texture is mainly co...
水氯镁石制备硅钢级氧化镁
以水氯镁石为原料,采用氨法沉镁-煅烧-添加剂的方法制备硅钢级氧化镁。考察了反应温度、反应pH值、陈化时间对中间体氢氧化镁纯度及转化率的影响;研究了煅烧温度和煅烧时间对氧化镁水化率的影响及添加剂的量对氧化镁悬浮性能的影响。控制实验条件为:反应温度55℃,pH值为9.5,陈化时间2h,煅烧温度1050℃,煅烧时间2h,添加剂量为0.8%,制得氧化镁的纯度为98.99%、水化率为2.92%、悬浮性能为3mm/h,达到硅钢级氧化镁的要求。 Using bischofite as raw material,the preparation of magnesium oxide with silico-steel grade was studied.The effects of reaction temperature,reaction pH value and aging time on the intermediate magnesium hydroxide purity and conversion rate were studied.Calcinations temperature,calcinations time relationship to the hydration rate of MgO and amount of additive to the suspension performance of MgO were investigated.The results indicated that the optimum technological conditions were as follows:reac...
中低牌号无取向硅钢冷轧工艺优化生产实践
无取向硅钢特别是中牌号以上的无取向硅钢,随着含硅量的提高,常温下塑性较差,冷轧过程中轧制力明显提高,如果存在原料质量问题,极易发生断带事故,影响硅钢冷轧过程的成材率和生产效率。通过优化冷轧工艺参数,可提高冷轧稳定性。生产中通过合理分配冷轧各道次压下量和轧制速度,保证了轧制过程的稳定,很大程度减少了冷轧断带事故的发生。 Non-oriented silicon steel, especially in the low and middle grade, with the increase of silicon content, plasticity is poor at room temperature, rolling force in cold rolling process significantly improved .If there is the quality defect of raw materials , easily sheet is rolling off. Affect finished product rate and production efficiency in process of cold-rolled silicon steel. Through optimization of cold rolled process parameter , improve the stability of cold-rolling process. Through reason...

