硅钢资料

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... 

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... 

【作者】 卢鹏； ...

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... 

【作者】 宋波； ...

【作者】 陶永根； ...

针对攀钢高硫铁水冶炼现状,结合不同生产工艺路线,论述了攀钢近年来为实现低硫电工钢的生产,在铁水预处理、转炉冶炼、钢水精炼过程中硫控制技术的开发与应用,形成了低硫洁净钢生产工艺技术,实现了低硫电工钢的生产。低硫电工钢RH脱硫率可达到20%左右,成品[S]控制在0.006%左右。 According to the smelting situations of hot metal with high sulphur content at Panzhihua Steel,combined with different produce processes,technologies for controlling the sulfur content during hot metal pretreatment,converter smelting,and second refining are developed. Technologies in low-sulfur clean steelmaking are formed. Low-sulfur electric steel are produced. As for the desulfurization rate of lowsulfur electric steel can reach about 20%,and the content of [S] in products is controlled to ab... 

针对某厂DMS森吉米尔轧机生产无取向硅钢表面麻面缺陷的问题，根据生产实际，对其形成原因从乳化液及工作辊两方面因素进行了分析。结果表明：乳化液对麻面缺陷的产生有一定影响，但不是主要因素，主要原因是由于二十辊森吉米尔轧机工作辊辊径较小，轧制相同长度带钢轧辊运转周期较大，容易产生疲劳失效而导致。为此，提出通过调整冷轧工序成品轧制道次的压下率以减小轧制力，从而减小工作辊的磨损疲劳；通过对轧制乳化液浓度、温度的合理控制，以改善润滑效果、提高轧制速度，而进一步缓解轧辊疲劳的改进措施，使该钢厂无取向硅钢麻面缺陷发生率由原来的18%降至0.8%,带钢表面质量明显改善。 For the problem of surface pockmarks of non-oriented silicon steel strip produced by a DMS Sendzimir mill, based on the production practice, the formation causes were analyzed from two aspects of emulsion and working roll. The results show that the emulsion has a certain effect on the formation of surface pockmarks defects, but it is not the main factor. The main reason is that the working roll diameter of the 20-high Sendzimir mill is small, and the running period of the roll rolling the same l... 

通过观察冲剪边缘组织,测量冲剪边缘的显微硬度、残余应力的分布情况和磁性能的变化研究了冲剪加工对无取向硅钢50WW800边缘组织和磁性能的影响。对冲剪后硅钢片进行750℃退火,分析退火对组织和磁性能的影响。结果表明,硅钢片剪切边缘会存在0.4 mm的形变硬化层,边缘应力大,铁损增加。退火后变形减小,形变硬化层变小,残余应力大幅度减少,铁损减少。 The influence of punching process on cutting edge microstructure and magnetic properties of non-oriented silicon steel 50WW800was studied by observing microstructure and measuring microhardness near cutting edge.The residual stress distribution in the silicon steel tooth and magnetic properties were measured.Effect of annealing at 750 ℃ on microstructure and magnetic properties of the silicon steel was analyzed.The results show that a cut-edge hardening layer up to 0.4 mm is observed,residual st... 

为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio... 

双辊连铸技术是冶金及材料领域内的一项前沿技术,对于生产高品质硅钢具有独特优势.本实验研究了一种双辊铸轧w[Si]=4.5%的无取向硅钢,考察其铸态和常化处理后样品的组织、织构及析出相尺寸特征.结果表明:铸带组织以与铸带法向成5~20(°)倾角的柱状晶为主,晶内存在少量0.3~0.4μm的AlN析出相,铸带织构以λ(<001>//ND)织构为主,表层织构漫散.950℃/10 min常化处理后,析出相尺寸增大,表层λ织构增强. As an advanced technique of metallurgy and material science,twin- roll strip casting has unique advantages for producing high quality silicon steel. The present study was aimed at a 4. 5% Si non- oriented electrical steel for analyzing the structure,texture and the size of precipitates at the initial and normalized state. The results revealed that the initial structure mainly consisted of columnar grains with 5 ~ 20( °) angle to the normal of cast strip,and some AlN precipitates of 0. 3 ~ 0. 4 μ... 

介绍了一种适用于超大晶粒取向硅钢的高斯晶粒取向偏离角的X射线衍射测量方法，提出了将试探法和探测器扫描法相结合的方式进行测量。结果表明：该方法可以同时获得准确的实际衍射角度和取向偏离角度，试样制备方式简单，对设备的要求低且测量结果准确。 This paper introduces a X-ray diffraction measurement method of Gaussian grain orientation deviation angle for ultra-large grain oriented silicon steel, and puts forward a method of combining the test method with the detector scanning. The results show that this method can obtain accurate actual diffraction angle and orientation deviation angle at the same time. The sample preparation method is simple, the requirements for equipment are low, and the measurement results are accurate.