钢厂
CGO硅钢各阶段织构遗传继承性的EBSD分析
利用EBSD技术对CGO硅钢热轧、中间退火、脱碳退火及二次再结晶退火组织及织构进行分析,研究了CGO硅钢各阶段加工制备过程中高斯{110}<001>晶粒的形状、尺寸及分布特点,分析了高斯取向晶粒在各工序过程中的遗传继承性特点。结果表明,CGO硅钢热轧板的次表层存在Goss取向晶粒,历经一次冷轧及中间退火后Goss取向晶粒基本消失,一次再结晶之后Goss织构仍不是主要织构,主要织构为{111}<110>和{111}<112>,说明Goss取向晶粒在二次再结晶退火前数量及尺寸上并不占优势,二次再结晶过程中Goss取向晶粒异常长大形成锋锐Goss织构。{111}<110>和{111}<112>织构组分的强度在一次冷轧中不断增加,{111}<112>织构组分的强度在二次冷轧后达到最大而{111}<110>织构组分是在初次再结晶后变强。 Grain shape,size and distribution of { 110} < 001 > Goss grains in CGO steel and the hereditary characteristics of Goss orientated grains during each processing period were investigated,based on the analysis of the microstructure and texture of the CGO silicon steel during hot rolling,intermediate annealing,decarburizing annealing and secondary recrystallization annealing by means of EBSD. The results show that Goss orientated grains exist in the subsurface of the hot rolled plate,and Goss...
高Cu无取向电工钢的制备
运用EBSD和光学显微镜,研究了0.25%~0.45%Cu对无取向电工钢热轧板显微组织,成品板显微组织、织构和磁性能的影响。实验结果表明:卷取过程中Cu元素在热轧板表层的偏聚作用显著阻碍了热轧板表层再结晶晶粒长大,导致热轧板表层晶粒尺寸随着Cu含量增加而逐渐较小,但热轧板中间晶粒尺寸变化不大。同时发现Cu元素能够明显改善织构类型,使有利织构组分增加,不利织构组分减少,同时减弱织构强度。从实验结果可知0.35%Cu能够显著改善电工钢的磁性能,铁损P15/50最低达到4.1 W/kg,磁感B50最高值达到1.8 T。 Effects of high content Cu on microstructure of hot rolled plates and microstructure,texture and magnetic properties of annealed finish product plates of non-oriented electrical steel were examined by means of EBSD technique and optical microscope. The results show that surface segregation of Cu significantly hindered recrystallized grain growth of surface layer in hot rolled plate during the coiling,as a result,the surface grain sizes of the hot-rohed plates decrease with the increase of Cu con...
硅钢50A1300的流变应力和临界动态再结晶行为
用Gleeble1500D模拟试验机在变形温度为950~1 200℃、应变速率为0.01~8s-1、最大变形程度为60%的条件下,对硅钢50A1300做单道次压缩试验,首先分析了不同参数对流变应力的影响,然后用回归法确定了应力模型中的变形激活能及材料常数,得到硅钢50A1300在峰值应力条件和稳态应力条件下的变形激活能分别为270.360和91.557kJ/mol,同时得到了流变峰值应力模型,模型的相关系数为0.997。最后通过作lnθ-ε图的方法找到了硅钢50A1300发生动态再结晶的临界应变量,并回归得到峰值应变量、临界应变量与参数Z/C的关系式。 To analyze the effects of different parameters on the flow stress and critical strain of the dynamic recrystallization,single-pass compression experiments were carried out with silicon steel 50A1300 specimens using a Gleeble1500D thermal simulator at a temperature range of 950-1 200 ℃ and strain rate range of 0.01-8 s-1 under the condition of maximum deformation of 60%.The average deformation activation energy is respectively 270.360 and 91.557 kJ/mol under the peak stress and steady-state stres...
无取向电工钢中夹杂物的分析
对无取向电工钢中的夹杂进行了系统的分析。利用小样电解,采取不同电解液,不同的分离方法对无取向电工钢中稳定和不稳定夹杂物进行了提取、分离和收集。利用扫描电镜(SEM)、X-射线衍射、ICP等对电解分离收集的夹杂物进行了定性和定量分析。 The inclusion analysis of the non-oriented electrical steel has been investigated.By using small sample electrolytic analysis,with different electrolytes and different separation ways,the stable inclusions and unstable inclusions was drew,separated,and collected.With utilizing the methods of SEM,X-ray and ICP,the qualitative and quantitative analysis of inclusions in the non-oriented electrical steel was obtained.
高性能取向硅钢生产过程中的节能降耗
从取向硅钢生产路线的选择、工艺技术的改进和生产设备的改造三方面进行了生产取向硅钢的节能降耗技术改造.通过完善多元抑制剂配方生产低温取向硅钢,通过加抛丸的酸洗、带面超声波清洗、改进连续退火炉以及余热循环利用等技术改造,使2012年取向硅钢的产量与未进行技术改造前的2009年相比提高了2.5倍,产品磁性上升了一个半牌号,能耗下降了8.9%,成材率提高了6.4%,生产成本下降了22%,综合效益显著. Energy saving technological transformation was carried out in the production of grain oriented silicon steel from three aspects of the oriented silicon steel production process route selection,technology improvement and equipment renovation.Through the improvement of multiple inhibitor formulations for producing low-temperature grain-oriented silicon steel,and by adding the blasting pickling,the belt surface ultrasonic cleaning,improvement of continuous annealing furnace,waste heat recycling tec...
ICP-AES法测定硅钢中铌的不确定度评定
分析了电感耦合等离子体发射光谱法(ICP-AES)测定硅钢中铌的检测过程,讨论了该检测过程中不确定度的主要来源,建立了该方法的定量的数学模型,并根据这一模型计算出了检测结果的合成标准不确定度和扩展不确定度。 The measurement of niobium content in silicon steel by inductively coupled plasma atomic emission spectrometry(ICP-AES) was analyzed,by which the main factors affecting the uncertainty of the measurement were ascertained and the calculation formula was given.Finally,according to the formula the combined uncertainty and expanded uncertainty were obtained.
电子探针波谱仪定量测定硅钢中硅含量结果的不确定度评定
依据GB/T 15616—2008《金属及合金的电子探针定量分析方法》,采用电子探针波谱仪对某W600硅钢中的硅含量进行了定量测定,对影响其定量测定结果的不确定度分量进行了分析,并对不确定度的各个分量进行了计算和合成,最后给出了硅钢中硅含量测定结果的不确定度报告:该硅钢中的硅含量(质量分数)为1.50%,扩展不确定度U=0.20%,取包含因子k=2。 According to GB/T 15616-2008\"Quantitative Method for Electron Prohe Microanalysis of Metals and Alloys\",the quantitative results of Si content in some W600 silicon steel was measured hy EPMA-WDS.The uncertainty components which might affect the measurement results were considered,calculated and synthesized. Finally the uncertainty result for the quantitative value of Si content in the silicon steel was got.The mass content of Si was 1.50%,and expanded uncertainty U=0.20%under the condition of co...
低温取向硅钢高温退火抑制剂的演化
取向硅钢利用析出物作为抑制剂,抑制初次再结晶晶粒的长大,抑制剂是取向硅钢发生二次再结晶的基本条件之一。文中通过低温板坯加热技术制备取向硅钢,采用透射电镜(TEM)观察并研究了高温退火阶段抑制剂的演化过程。结果表明,渗氮后形成的非晶态Si3N4析出物不稳定,在700~750℃退火升温阶段转化为(Al,Si)N;(Al,Si)N颗粒在800℃发生团聚,随后长大并粗化;(Al,Si)N是低温取向硅钢主要抑制剂,随退火温度的升高,(Al,Si)N抑制力大幅下降。 Precipitates as inhibitor are used to inhibit the grain growth of primary recrystallization in grain-oriented silicon steel,and inhibitor is one of the basic conditions for occurring of secondary recrystallization.The grain-oriented silicon steel was produced by low temperature slab heating and nitriding technique.The evolution of inhibitor was observed by transmission electron microscopy.The results show that Si3N4 particles are precipitated after nitriding,and Si3N4 particles are amorphous and...
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...