钢厂
电工钢RH脱硫渣系研究
针对攀枝花钢钒有限公司难以稳定生产w(S)≤0.006%高级别电工钢的问题,通过开发RH脱硫剂、钢包渣改性及工艺参数控制,形成了RH脱硫系统工艺技术。经工业试验表明,采用该工艺技术后,钢水脱硫率最高达到42%,成品w(S)控制在0.005%以下,全氧、氮含量也得到了较好的控制,且脱硫剂没有引起钢水增碳,满足高级别电工钢的生产要求。 In light of the difficulty of production of high level electrical steel w(S)≤0.006 % steadily in Panzhihua steel & vanadium Co.,Ltd.the process technology of RH desulfurization system has been formed by developing the RH desulfurizer,modifying the ladle slag and controlling the process parameters.Industrial experiments show that the desulfurization rate of hot metal rises to 42 % and the w(S) of the finished products is controlled in below 0.005 % and total oxygen and nitrogen contents are a...
制备硅钢级氧化镁前驱体的原料水化研究
以青海盐湖水氯镁石为初级原料,采用喷雾热解法制备原料氧化镁,原料氧化镁通过水化制备硅钢级氧化镁前驱体氢氧化镁。原料氧化镁水化实验中对水化剂、水化温度、水化时间、液固比、搅拌速度及陈化时间对水化率、过滤速度和纯度的影响进行系统研究。采用均匀实验设计和DPS数据处理,(依次)通过建模分析、二次多项式模型回归建立数学模型,再通过各因素方差分析和总方差分析,确定了理论最优实验条件,再用理论最优条件作重复实验进行验证,最终确定了原料氧化镁的最佳水化条件。在水化温度60℃,水化时间105 min,液固比4,陈化时间4 h,水化剂1含量4.0%,水化剂2含量3.15%,洗水量4倍,搅拌速度120 r/min时,原料氧化镁的水化率达99.50%以上,得到的硅钢级氧化镁前驱体氢氧化镁纯度高、过滤性能良好。 By spray pyrolysis method,bischofite in Qinghai salt Lake,as primary raw material,was used to prepare precursor raw material MgO for silicon-steel MgO.The precursor raw material MgO was used for preparing Mg(OH)2 which was the precursor of silicon-steel MgO,by hydration method.In the hydration experiment of precursor raw material MgO,some experiment parameters were investigated systematically.such as the hydrated agent,the temperature and time of hydration,liquid/solid ratio that affected the hy...
硅钢芯片冲裁工艺分析与对策
分析了冲裁硅钢芯片时出现的质量问题,针对影响硅钢芯片冲裁质量的4大因素——人、原材料状态、工艺和工装进行了工艺试验和分析,根据原材料状态的差异,采用不同工艺方案,特别是如何合理选择冲裁模具间隙,解决了硅钢芯片冲裁时产生的主要质量问题,使冲裁的硅钢芯片达到最佳质量状态,并满足硅钢芯片的使用性能。 The problems occurred during silicon steel chip punching and the factors that affect the quality of silicon steel chip punching were analyzed,the factors include 4aspects,that is,people,raw material status,process and frock,at the same time,process tests and analysis aimed at the factors that affect punching quality were did,according to the difference of raw material status,corresponding process schedules wee taken,especially in how to reasonably select punching dies clearance,which solved the ...
退火温度对2%Si无取向电工钢磁性能的影响
研究了传统工艺流程生产的2%Si无取向电工钢在不同退火温度下的磁性能。研究结果表明,随着退火温度的升高,显微组织均匀性提高且晶粒尺寸增大;有利织构组分{100}<0vw>、α、η增强,不利织构组分减弱;成品的铁损P1.5/50先下降后略有上升,磁感B50上升平缓;在890℃×2 min的退火工艺条件下,成品电工钢的磁性能最佳,对应的铁损P1.5/50小于3.2 W/kg,磁感B50高于1.74 T。 In this paper,the effect of annealing temperature on magnetic properties of non-oriented electrical steel with 2% silicon was studied.Results show that the uniformity of microstructure and the average grain size increase with the rise of annealing temperature.The texture components of annealing can be improved by enhancing {100} <0vw>,α,η fiber textures and weakening {111} <112> fiber texture.The tendency of core loss P1.5/50 shows that it decreases first and then increases,while the...
退火工艺对普通取向硅钢初次再结晶组织的影响
为研究退火工艺对普通取向硅钢初次再结晶组织的影响,对经不同温度、保温时间和升温速率退火后的材料组织进行了分析。结果表明:在等温退火条件下,加热至600℃时开始发生初次再结晶,800℃以上初次再结晶组织发展完善;而在最终冷轧板直接进行最终高温退火的情况下,加热温度在500～700℃时,将升温速率提高到80℃/h,初次再结晶组织更易于发展完善。 To investigate the influence of annealing process on the recrystallization of common grain oriented silicon steel,microstructures of sheets annealed at different temperature,soaking time and heating rate are observed.Results show that under the condition of isothermal annealing,recrystallization begins at 600℃ and fully develops above 800℃,while in the case that the final cold rolled sheets are directly thrown to final high temperature annealing,recrystallization is likely to develop with the he...
电工钢显微结构和疲劳性能的研究
研究了电工钢SXRC的显微结构和疲劳性能,并与DP钢进行了比较。结果表明,退火温度低温化能够有效的抑制电工钢的再结晶。该钢在固溶铌的作用下,能够在保证电机磁性的同时具有一定的强度。与DP钢相比,SXRC钢的抗疲劳性能更好。 The microstructures and fatigue properties of the electrical steel SXRC we re investigated, and the properties were also compared with the steel DP. The results show that the recrystallization of the electrical steel can be suppressed at lower annealing temperature. The steel presents favorable motor magnetic and also a compatible strength with the help of solid-solution Nb. Compared with the steel DP, the fatigue resistance of the steel SXRC is preferable.
微量Sn对0.4%Si无取向硅钢组织和磁性能的影响
结合实际生产0.4%Si无取向硅钢，统计了不含Sn和0.025%Sn无取向硅钢的磁性能变化，利用金相显微镜、X射线衍射仪观察分析不同成分下试样的显微组织和微观织构。试验结果表明：Sn元素可以显著降低无取向硅钢的晶粒尺寸，0.025%Sn试样的平均晶粒尺寸比不含Sn减小28.4%;加入Sn元素后抑制了无取向硅钢中不利于磁性能的{111}面织构组分强度，提高了对磁性能有利的{100}面织构组分强度，0.025%Sn与不含Sn相比磁感均值从1.756 T提升至1.768 T,铁损均值从5.476 W/kg降低至5.204 W/kg,明显改善了无取向硅钢磁性能。 In this paper combined with the actual production of 0.4% Si non oriented silicon steel, the magnetic properties of non oriented silicon steel without Sn and 0.025% Sn were counted. The microstructure and microtexture of samples with different compositions were observed and analyzed by metallographic microscope and X-ray diffraction. The results show that: Sn can significantly reduce the grain size of non oriented silicon steel, and the average grain size of 0.025% Sn sample is 28.4% smaller tha...
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...
