钢厂
二次冷轧压下率对高牌号无取向硅钢组织结构和磁性能的影响
研究二次冷轧压下率对于硅的质量分数为3.0%的无取向硅钢组织结构和磁性能的影响。结果表明:当第二次冷轧压下率从0变化至16.7%时,铁损逐渐增加,磁感逐渐降低。当第二次冷轧压下率大于16.7%时,随压下率的增加,铁损逐渐减小,磁感逐渐增加。当第二次冷轧压下率大于38%时,二次冷轧法所能获得的磁性能明显优于一次冷轧法。 Effect of double cold reduction on magnetic,microstructure and texture of 3.0% Si non-oriented silicon steel sheets was investigated.The results show that the iron loss increases and magnetic induction reduces as the percentage redcution in secondary cold rolling changes from 0 to 16.7%.The core loss can be reduced remarkably,and magnetic induction can get a little benefit if the percentage redcution in double cold reduction is higher 16.7%.In case of higher than 38% of the percentage redcution ...
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...
本钢高硬度无取向电工钢50BW600的研发
目前随着电工钢用户冲压设备的升级,冲压速度逐步提高,对电工钢产品的硬度和强度指标提出了更高的要求。与普通硬度级别的无取向硅钢相比,高硬度50BW600的Hv硬度提高15~20,达到125以上,同时对电磁性能指标也有较高要求。本钢通过化学成份和热轧及冷轧连退生产工艺的设计,经过小批量生产试验,满足用户要求。通过对工艺的严格控制,在大批量生产过程中,保证了产品的力学性能和电磁性的检验合格率。 Currently with upgrading of stamping equipment of silicon steel user, gradually increasing of stamping speed, propose higher demand for hardness and strength of silicon steel. Compared with conventional 50BW600, high hardness 50BW600 have higher hardness, reach greater than 125Hv. Through design of chemical composition with hot mill and annealing, production test of small quantities, stamping performance meet user request.
热轧组织对无取向硅钢织构的影响
采用X射线衍射仪分析无取向硅钢冷轧织构和再结晶退火织构的演化,研究了热轧组织对无取向硅钢织构以及磁性能的影响。结果表明,具有均匀、粗大晶粒组织的热轧板,冷轧形成更多的剪切带,导致成品板形成高的高斯织构组分,并提高了{100}织构强度,降低了γ纤维织构,最终导致成品磁感应强度升高,铁损下降。 The texture evolution of non-oriented silicon steel during cold-rolling and recrystallization annealing was investigated by X-ray diffractometer.The effects of hot band microstructure on the texture and magnetic properties of non-oriented silicon steel were analyzed.The results show that more shear bands appear during cold rolling due to homogeneous coarse grain in hot band.So strong{110}<001> texture after recrystallization annealing forms.At the same time,the {100} texture components inc...
冷轧无取向硅钢产品标准浅析
聚焦无取向硅钢产品标准,从电磁性能、表面性能、机械性能以及尺寸公差与边部质量等维度对国际标准IEC、EN、JIS、ASTM以及国标GB进行了分析研究。分析得出,各类标准在电磁性能方面要求基本一致;ASTM标准的机械性能要求有别于其他几个标准。 In this paper,non-oriented silicon steel standards of EN,JIS,GB and ASTM were compared and analyzed. It is showed that,all types of standards in electromagnetic performance requirements are basically the same. Surface properties in ASTM standard are expressed in the most detailed. The mechanical properties requirements of the standards,except for ASTM,are basically the same.
ZnO对硅钢绝缘涂层组织与性能的影响
通过制备磷酸二氢铝硅钢涂层,研究了氧化锌对无铬涂层耐盐雾性能、电化学性能和附着性的影响。结果表明,硅钢表面涂层含有4.0%的氧化锌时,涂层具有最高的耐腐蚀性能和电化学性能,而且其致密表面最为平整,没有裂纹出现。 The effects of ZnO on the salt spray resistance property, electrochemical performance and adhesiveness of silicon steel insulating coating were studied. The results show that the best corrosion resistance and electrochemical properties can be obtained when the coating contains 4.0% oxide zinc, and the dense surface is smooth without cracks.
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...
电工钢极薄带生产现状及市场应用
介绍了国内、外电工钢极薄带的生产现状及市场应用的情况,以及典型生产企业的生产规模、产品性能和应用领域,指出扩大高牌号无取向电工钢生产、提高产品质量是目前电工钢发展的迫切要求。 The production situation and market application of ultra thin electrical steel strip at home and abroad were described.The production capability,product property and application area of typical corporation were introduced.The results indicate that the urgency needed of electrical steel development is expanding high-grade non-oriented electrical steel production and improving products quality at present.
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...
