钢厂
稀土铈含量对1.2%Si无取向电工钢组织、织构及磁性能的影响
在实验室模拟CSP流程制备了不同含量稀土铈(质量分数0~0.018%)的1.2%Si无取向电工钢,并对其进行1 000℃×5min的再结晶退火处理,研究了铈质量分数对无取向电工钢夹杂物、显微组织、再结晶织构和磁性能的影响。结果表明:随着铈质量分数的增加,微细夹杂物数量、再结晶晶粒尺寸、{100}和{110}织构组分、磁感应强度先增后减,{111}织构组分、铁损先减后增;铈的质量分数为0.005 1%时,钢中的夹杂物数量最少,再结晶晶粒尺寸最大,有利织构最多,磁性能最优,铁损P15/50为3.253W·kg-1,磁感应强度B50为1.751T。 Non-oriented electrical steels containing different contents rare earth Ce element(0-0.018wt%) were prepared in the laboratory by simulated CSP(compact strip production)process,and then recrystallization annealing at 1 000 ℃ for 5 min were performed,the effects of Ce content on inclusion,microstructure, recrystallization texture and magnetic properties of non-oriented electrical steels were studied.The results show that with the increase of Ce content,the amounts of fine inclusion,the size of re...
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...
脉冲磁场热处理对CGO取向硅钢脱碳退火过程中组织和织构的影响
采用自主研发的脉冲磁场退火装置,在取向硅钢脱碳退火过程中分别施加不同强度的磁场,并采用光学显微镜和X射线衍射仪研究了脉冲磁场脱碳退火后试样的显微组织和宏观织构。结果表明,脱碳退火过程中施加脉冲磁场后取向硅钢的平均晶粒尺寸均增加,当磁场强度为40 mT时,平均晶粒尺寸最大,为13.06μm。此外,取向硅钢试样的立方织构{001}<100>强度减弱,高斯织构{110}<001>和{111}<112>织构增强,有利于获得更好的成品织构和磁性能。 Self-developed pulsed magnetic field annealing device was used to apply magnetic field of different intensities during decarburization annealing of an oriented silicon steel, and microstructure and macro-texture of the specimens after decarburization annealing in a pulsed magnetic field were studied by using optical microscope and X-ray diffractometer. The results show that the average grain size of the oriented silicon steel increases with the application of pulsed magnetic field during decarbu...
常化温度对TSCR流程制备低碳低硅无取向硅钢组织和性能的影响
在实验室试制了TSCR流程的低碳低硅无取向硅钢,研究了在850~1050℃不同温度常化对冷轧量0.5mm厚钢板再经950℃×7min退火后的组织、织构和磁性能的影响。结果表明:随常化温度的升高,使热轧板晶粒尺寸增大,晶界更清晰,组织均匀性更好;由于第二相AlN和MnS析出物尺寸比较大,使冷轧退火后钢板晶粒也随常化温度升高呈单调增大趋势;γ有利织构和{111}、{112}不利织构与常化温度升高同时增强,但前者增强更多;冷轧板退火后铁损随常化温度升高呈单调下降,磁感呈单调上升趋势。 The low-carbon and low-silicon non-oriented silicon steel was prepared by thin slab casting and rolling(TSCR) in lab.The effect of normalizing at different temperatures in 850-1 050℃on microstructure, texture and magnetic properties of 0.5 mm cold-rolled sheets after annealing at 950℃for 7 min was researched. The results show that with increasing the normalizing temperature,the grain size of hot-rolled sheets increased,the grain boundaries were more clear and the rnicrostructure uniformity was b...
硅钢铸坯再加热过程中夹杂物的析出行为
研究了硅钢铸坯再加热过程中夹杂物的析出行为。采用非水溶液电解提取+扫描电镜观察方法,观察了试样的显微组织,统计了夹杂物的尺寸、种类、数量、分布。结果表明,均热温度为1 523 K时,水淬试样的夹杂物尺寸绝大部分小于0.5μm,0.5~5.0μm的夹杂物数量很少,没有发现5.0μm以上的夹杂物。此外,均热时间为10、30、60、90、120、240 min时,对应试样中0.05~0.2μm的夹杂物数量分别为4.04×104、4.73×104、3.70×104、3.33×104、3.10×104、1.56×104个/mm3。绝大部分夹杂物以MnS、AlN、CuxS类为主,并以三类夹杂物中的两类复合或三类复合居多。三类复合夹杂物总量占每组试样夹杂物总量的90%或以上。随均热时间延长,典型的夹杂物组成会发生如下变化:MnS+AlN+CuxS MnS+AlN AlN。与此同时,MnS、AlN、CuxS三者复合比例从45.2%(均热10 min)降为9.7%(均热240 min)。 The methods of electrolysis extraction from nonaqueous solution and scanning electron microscope were adopted to study the precipitation behavior of non-metallic inclusions in Si steel slabs during reheating processes.The morphologies,chemical compositions,quantity and size distribution of non-metallic inclusions in these steel samples were analyzed.Results show that,when the soaking temperature is 1 523 K,almost all of the non-metallic inclusions are smaller than 0.5 μm,few are in the range of ...
高温硅钢加热炉双蓄热燃烧技术的探讨
介绍了双蓄热燃烧技术的特点和高温硅钢加热炉的特点,探讨了双蓄热燃烧技术在高温硅钢加热炉中使用的技术难点,分析了双蓄热燃烧技术在高温硅钢加热炉上使用的可能性。 Introduced characteristics of double regenerative combustion technology and high temperature silicon steel reheating furnace,discussed technical difficulties for using double regenerative combustion technology,analyzed the possibility of double regenerative combustion technology applied to high temperature silicon steel reheating furnace.
无取向硅钢表面环保涂层的发展
简述了无取向硅钢环保涂层发展背景,分析了硅钢环保涂层的特点及国内、外研究进展,提出了硅钢保涂层下一步的发展方向。 The back ground of environmental protection coating of non-oriented silicon steel was described in this paper.The characteristics and study progress in domestic and foreign of environmental protection coating of non-oriented silicon steel were analysised.The next development direction of environmental protection coating of non-oriented silicon steel was put forward.
硅钢铸坯感应加热炉参数优化设计
采用经验设计法初步确定了取向硅钢铸坯感应加热线圈设计参数,应用Ansoft仿真软件分别对36组不同线圈高度、线圈内径的感应加热炉在不同频率下的三维整体磁场和铸坯的温度场进行了数值仿真。通过对比仿真结果,确定电磁场分布最佳的一组感应加热炉设计参数为线圈高度h=1.50 m、线圈内径D1=0.575 m、电流频率f=110 Hz。在该参数下应用Ansoft仿真软件对取向硅钢铸坯感应加热炉的温度场进行了仿真,结果发现温度场分布均匀,可满足取向硅钢铸坯加热要求。 The induction heating coil design parameters for the oriented silicon steel casting blank were determined preliminary by experience design method,and 36 groups three-dimensional electromagnetic field with different height and inside diameter of coil under different frequencies of the induction heating furnace and the temperature field of the casting blank were investigated by numerical simulation using Ansoft simulation software. By comparing the simulation results of electromagnetic field distr...
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...
高牌号无取向电工钢热轧板常化退火组织的EBSD分析
借助于EBSD对比研究了常化退火对高牌号无取向电工钢热轧组织和织构演变的影响,分析了常化退火对热轧板各厚度层织构的演变规律。结果表明,常化退火改善了热轧组织的均匀性,并弱化了热轧变形的γ纤维织构。升高常化退火温度,可增大热轧板的晶粒尺寸,提高{100}和{110}织构组分占有率,有利于提高无取向电工钢成品板的磁性能。 Effects of normalizing annealing on microstructure and texture of high-grade non-oriented electrical steel hot-rolled sheet were investigated by EBSD. Emphasis was put on the effects of normalizing annealing on texture evolution in the sheet thickness. The results show that the hot-rolled microstructure homogeneity is improved and the γ-fiber texture is weakened by normalizing annealing treatment. The grain size of hot-rolled sheet and intensity of the {100} and {110} favorable texture can be in...

