钢厂
无取向硅钢C6厚涂层性能的影响因素
本文介绍了无取向硅钢C6涂液的性能,研究了配水量、固化程度和涂层厚度等因素对无取向硅钢C6涂层性能的影响。结果表明,随着配水量的增加,完全固化所需的时间增加,涂液固体含量降低,涂层厚度减小;随着固化程度的提高,涂层硬度先增大然后趋于恒定,而柔韧性逐渐变差,在过固化后急剧恶化;涂层厚度对涂层的表面外观、附着性和绝缘层间电阻均有显著影响。 Based on the introduction about the performance of C6 varnish for non-oriented silicon steel sheets,effects of water amount,curing degree and coating thickness are discussed. Results show that with the increase of water amount,the time required to cure completely extends,and both the solid content of C6 varnish and the coating thickness decrease. As the curing degree increases,the hardness of the coating increases first and then tends to be constant,however the flexibility degenerates,especially...
Nb微合金化Fe14Si2高硅钢温轧板织构演变规律
采用Nb对Fe-6.5%Si(质量分数)高硅钢进行微合金化处理,结果表明:Nb在高硅钢薄板制备过程中细晶效果明显.铸态、锻态和热轧态组织的晶粒分别细化了17.50%,24.51%和30.13%.铸态样品压缩强度由1365 MPa提高至1520 MPa,延伸率提高77.78%;温轧板试样室温拉伸强度由573 MPa提高至621 MPa,延伸率提高44.44%.利用XRD对厚度为0.30—1.68 mm的温轧板的板面织构演变过程进行跟踪测量,结果发现:初始织构以(011)〈100〉Goss织构为主,单道次变形量为26.2%的情况下,Goss织构完全转化为(100)〈011〉旋转立方织构,随后,在单道次变形为22.6%的情况下,旋转立方织构完全转化为{111}面织构,即纤维织构,并稳定保持至0.30 mm. Fe-6.5%Si(mass fraction) alloy possess perfect magnetic properties,though intermetallics of Fe14Si2 phase brought 6.5%Si leads to room temperature brittleness and hinder this significant materials industrialization.Nb was adopted into micro-alloying of Fe-6.5%Si high silicon steel. OM,thermal simulated test machine and XRD were employed to study the influence of Nb on high silicon steel in processing stages.Textures of warm-rolled high silicon steel strips were determined b...
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...
二次冷轧的中间退火温度对2.3Si无取向硅钢组织和性能的影响
试验2.3Si无取向硅钢(/%:0.003C,2.30Si,0.16Mn,≤0.020P,≤0.005S,0.54Al)冷轧板由常化和未常化的2.5 mm热轧板冷轧至0.6 mm(压下率76%),经750~950℃2.5 min中间退火后再冷轧至0.5 mm(压下率16.7%),成品板经890℃+960℃2.5 min退火。研究了中间退火温度对该钢晶粒尺寸、织构和磁性能的影响。结果表明,随中间退火温度的升高,二次冷轧前晶粒和成品晶粒增大,成品中不利织构组分{111}和{112}减弱,磁性能得到改善。热轧板经过常化时的磁性能明显好于未经常化时的磁性能,但中间退火温度较高时常化对磁性能的有利作用减弱。 The test cold sheet of 2.3Si non-oriented silicon steel(/%:0.003C,2.30Si,0.16Mn,≤0.020P,≤0.005S,0.54Al) is first cold-rolled from normalized and un-normalizing 2.5 mm hot-rolled plate to 0.6 mm sheet(reduction 76%),then intermediate annealed at 750~950℃ for 2.5 min and double cold-rolled to 0.5 mm sheet(reduction16.7%),the finished sheet annealed at 890℃+960℃ for 2.5 min.Effect of the intermediate annealing temperature on grain size,texture and magnetic performance of the steel has been studied....
6.5%Si高硅钢铸锭凝固组织的CAFE法模拟研究
应用CAFE法对6.5%Si高硅钢铸锭凝固组织进行了模拟研究,确定出了适合高硅钢组织模拟的模型。进一步用该模型研究了过热度及冷却条件对凝固组织的影响,结果表明,随着过热度的降低,凝固组织中柱状晶比例和晶粒平均面积均减小。水冷条件下,高硅钢铸锭凝固组织几乎全是柱状晶,而且晶粒粗大。空冷条件下,等轴晶区扩大,但柱状晶仍占主要部分。缓冷条件下,等轴晶区占主要部分,晶粒平均面积和空冷条件下相当。 The solidification structure of 6. 5% Si steel ingot was simulated based on CAFE method and the model suitable for simulating the structure of high silicon steel wad ascertained. The influence of superheat and cooling condition on the solidification structure were studied. It was shown that with the superheat decreasing,the proportion of columnar crystals decrease,and the average grain size become smaller. Under water cooling condition,the solidification structure of casting was composed of almo...
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 ...
电工钢检测方法及标准综述
综述了电工钢从生产到成品过程中涉及到的检测项目、检测方法及仪器,并通过对电工钢标准的发展改进,详细阐述了我国现有的电工钢技术标准体系,同时对代表企业的电工钢重点指标进行了摘录对比,为综合应用电工钢检测方法并促进电工钢的发展提供了一定的参考。 This article summarizes the testing items,methods,and instruments involved in the process from manufacturing to finished products of electric steel. The current electric steel technical standards system in our country is also elaborated in detail,along with the development and improvement of electric steel standards. Meanwhile,by comparison of electric steel KPI in representitive companies,this article provides references for comprehensive application of electric steels testing methods and promo...
硅钢常化炉段工艺特征及问题分析
连续酸洗退火机组(CPAL)对于当前生产高磁感取向硅钢和高牌号无取向硅钢是必不可少的一个环节。常化炉是常化酸洗机组关键的组成部分。本文对国内自主建造的两条退火酸洗机组的工艺流程,特别是常化炉段进行了对比分析。总结出了常化炉的工艺及组成特点,对生产过程中暴露的问题进行了仔细的分析并提出了改进的意见,对于以后新建常化炉具有一定的提示作用。 The continous pickling annealing line(CPAL) is an essential step in producing high magnetic induction grain-oriented silicon steel and high grade non-oriented silicon steel.The normalizing furnace is a very important part of the CAPL.In this paper,the process flows of two CAPL with independent manufacture in our country have been compared,especially the part of normalizing furnaces.The characteristics of process and component are summarized and problems of the normalizing furnace during the prod...
硅钢水溶性极厚绝缘涂层的热老化行为研究
对两种硅钢水溶性极厚绝缘涂层进行了不同温度的热老化实验。通过TG-DTA,GDS,FT-IR,SEM和光泽度仪等测试方法对老化的涂层进行分析表征,提出了评估硅钢水溶性极厚绝缘涂层热老化性能的合理温度区间,探讨了涂层热老化行为,并分析了两种涂层热老化性能的差异。结果表明,涂层附着性随着老化时间的延长逐渐下降。FT-IR表征结果显示,热老化过程中,涂料交联形成的化学键未发生断裂,交联剂氨基树脂的三嗪环被破坏是聚合物三维网络结构坍塌的主要原因。 Thermal aging expriments at different temperature were carried out on two types of water-soluble and extra-thick insulation coatings for non-oriented silicon steel,and a series of test methods such as glossmeters,TG-DTA,FT-IR,GDS,SEM were applied in analysis.For evaluating the thermal aging effect of this kind of insulation coating,the proper temperature range was proposed.The difference of aging performance between two coatings was been investigated and the related behaviors were been discussed...
轧制力优化对20辊冷轧硅钢厚度精度的影响
轧制力是影响冷轧带钢厚度精度的关键因素。为实现高精度的冷轧带钢厚度控制,通过优化变形抗力模型参数和摩擦系数模型参数提高冷轧轧制力模型计算精度,并使用指数平滑法的自学习算法保证轧制力精度的稳定性。在首钢股份公司迁安钢铁公司20辊森基米尔轧机生产线进行S12硅钢钢种轧制力优化试验,将优化的模型参数应用于L2并投入现场生产,结果表明该优化方法不仅提高了轧制力设定精度,而且减小了冷轧硅钢的厚度超差长度,提高了成材率。 The rolling force is the key factor which influences the accuracy of cold-rolling strip thickness. To implement high precision control of cold-rolling strip thickness,we optimize the deformation resistance model parameters and friction coefficient model parameters to improve the calculation precision of cold-rolling force model,and use exponential smoothing self-learn algorithm to ensure the stability of rolling force accuracy. In Shougang Qiangang 20-high Sendzimir mill single stand production ...

