钢厂
冷轧工艺对取向硅钢初次再结晶织构的影响
研究了取向硅钢制备过程中常见的两种冷轧工艺,主要研究了一阶段冷轧与两阶段冷轧+中间退火工艺对初次再结晶组织及织构的影响.结果表明:采用两阶段冷轧+中间退火工艺制备以Cu2S为主抑制剂的取向硅钢,其初次再结晶平均晶粒尺寸为18.1μm,高斯晶粒的体积分数为0.6%,迁移性强的重位点阵晶界(Σ5+Σ9)和高能晶界(20°~45°取向偏差角)所占比例分别为1.8%和50.4%.与一阶段冷轧工艺相比,其初次再结晶晶粒较细,且高斯晶核与特征晶界所占的比例较高,有利于高斯晶粒发生二次再结晶. Two common cold-rolling processes of grain oriented silicon steel and the effects of the single stage cold rolling and tw o-stage cold rolling w ith intermediate annealing processes on the primary recrystallization microstructure and texture w ere investigated. The results revealed that for the grain oriented silicon steel prepared under the tw o-stage cold rolling process w ith intermediate annealing w ith Cu 2 S as the main inhibitor,the average grain size of the primary recrystallization micr...
压下率对6.5%Si电工钢温轧板织构的影响规律
6.5%Si电工钢是一种优异的软磁材料,织构对其磁性能影响很大。利用温轧工艺对6.5%Si电工钢热轧板进行不同压下率轧制,研究了温轧板织构随压下率的变化规律。实验结果显示,随着压下率的增大,{100}〈110〉、{110}〈100〉和γ纤维织构在薄板表层中的强度先增强后减弱,当压下率达到75%时,沿板厚方向形成3个组织区域:表层细晶粒区({110}〈100〉取向为主)、过渡层({111}〈110〉和{111}〈112〉变形晶粒区)和中心层(以拉长的γ纤维织构和{100}〈110〉取向晶粒为主),这种组织和织构不均性对后期织构的发展有重大影响。 6.5wt% Si electric steel has excellent soft magnetic properties,on which texture play important role.In this experiment,warm rolling technique was employed to investigate the effect of rolling reduction on texture.It was found that the density of {100}〈110〉,{110}〈100〉 and γ-fiber textures first increased and then decreased with increasing of the rolling reduction.At 75% reduction,the microstructure along the thickness of the sheet formed three zones,containing surface layer with {110}〈100〉 orien...
无取向电工钢退火工艺研究现状
综述了退火温度、时间对无取向电工钢磁性的影响。退火温度主要影响无取向电工钢不同织构的占有率,退火时间主要影响晶粒尺寸的大小,晶粒尺寸的变化对织构的形成也有一定的影响。磁感最高点出现在纤维组织完全消失,(111)面织构组分较弱的组织状态。铁损的降低主要依赖于磁滞损耗的降低,织构的影响不大。 The effects of annealing temperature and time on the non-oriented electrical steel magnetic properties were reviewed.Annealing temperature and time mainly affects the different textures share and the grain sizes of non-oriented electrical steel respectively.Changes of the grain sizes also have a certain effect on textures formation.The highest point of the magnetic induction value in the fibrous tissue completely disappears and{111} plane texture has a lower state of the component content.Iron l...
微合金元素Sn、Nb、Re对无取向硅钢性能的影响
介绍了微合金元素锡、铌、稀土对无取向硅钢性能的影响,并扼要分析了这些元素对硅钢性能的影响机理:晶界偏聚元素Sn可细化晶粒提高硅钢磁性能;微合金元素Nb细化铁素体晶粒,提高硅钢的强度、韧性和塑性及磁性能;稀土元素(RE)在硅钢中的主要作用包括净化钢液、变质夹杂物、改善铸态组织和性能及微合金化,减少晶界上出现偏析的几率。 The influence of micro-alloy elements on properties of non-oriented silicon steel and the mechanism for effect of the micro-alloy elements including Sn、Nb and RE on the properties of steel are presented and analyzed in this paper.Grain boundary segregation elements Sn in steel can grain refinement and improve the magnetic properties;Micro-alloy elements Nb can refine the ferrite grain,increase the silicon steel strength,toughness and plastic;The main role of the RE in the silicon steel including...
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...
后天抑制剂获得法制取向硅钢析出物的转化规律
通过后天抑制剂获得法制备了取向硅钢,对渗氮前后和高温退火升温阶段析出物的析出和转化规律进行了研究。研究结果表明,渗氮前脱碳退火态基体中存在少量的粗大AlN颗粒和细小AlN颗粒,渗氮处理后新析出大量的Si3N4析出物,高温退火升温阶段Si3N4将转化为(Al,Si)N,随着温度的继续升高(Al,Si)N颗粒将发生粗化,(Al,Si)N是后天抑制剂获得法制备取向硅钢的主要抑制剂。 Grain-oriented silicon steels were produced by acquired inhibitor method.The rule of precipitate transformation was studied after nitriding treatment and high-temperature finishing annealing.The results show that a small amount of large AlN and fine AlN are found in matrix before nitriding treatment,and a large amount of Si3N4 is precipitated in matrix after nitriding treatment.During the temperature rising period of high-temperature finishing annealing,Si3N4 would transform into(Al,Si)N,and(Al,...
基于Matlab的硅钢连续退火线纠偏系统分析及仿真
硅钢连续退火线是无取向硅钢生产的成品线。由于受机组布置的影响,带钢经转向辊进出口活套后,当套量达到60%后就出现偏离生产线的情况,从而影响最终产品的质量及成材率,甚至损坏设备。针对某冷轧厂硅钢连续退火机组出口活套入口处带钢跑偏开展纠偏研究,利用Matlab对该纠偏系统进行动态仿真研究,分析系统的稳定性。 Silicon steel continuous annealing line is non oriented silicon steel production of finished product line.Due to the influence of unit layout,strip by roll Import & Export loop,when the set volume reached 60% after the emergence of deviation from the production line,thus affecting the quality of the final product and the rate of finished products,and even damage the equipment.For the export of continuous annealing line in cold rolling silicon steel strip deviation rectification loop at the e...
硅钢连续退火炉无氧化加热段辐射换热研究
以能量平衡和辐射换热理论为基础,通过合理假定,建立了硅钢无氧化加热炉数学模型。采用数值计算的方法,通过自编程序,完成对带钢加热过程温度场的仿真。结果显示:数学模型能够反映带钢在无氧化炉内的加热过程,其升温曲线能够与工艺曲线相吻合;现行炉温分布并非最优,数学模型能够为炉温分布的优化、炉段的设计提供理论依据。 Mathematical model of NOF Section of Continuous Annealing Furnace is established based on energy balance and radiation heat exchange. The temperature field of steel is simulated by mathematical computation. The simulating results show that the mathematical model can reflect the heating process of silicon steel in NOF section, and the heat-up curve is coincide with the processing curve. From the results,it is known that the current furnace temperature gradient is not the best, and the mathematica...
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...
大数据技术在硅钢产品质量管控中的应用实践
磁性能指标是硅钢产品最关键的质量指标之一,但是目前磁性能判定100%依赖于样品的离线实验室检测结果,生产线配置的在线检测仪的测量结果由于精度问题,不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上,利用大数据技术对生产数据进行分析与建模,构建不同磁性能指标在线检测模型,并在现有信息系统上完成模型库的集成部署,实现硅钢产品全长、多指标磁性能结果的拟合数据输出,支撑取样优化、精准分切、辅助综合判定等功能应用,进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d...
高硅钢织构的研究现状及进展
6.5%(质量分数)Si高硅钢具有优异的软磁性能和广阔的应用前景,然而其室温脆性和低的热加工性极大地制约了它的发展。近年来,人们对高硅钢制备技术的研究已经取得了很大的进展,如何通过织构的优化提高高硅钢的磁性能越来越受到人们的关注,归纳和总结了不同工艺制备的高硅钢中的织构演变规律和特点,以及对应的典型磁性能。 6.5wt% Si high silicon steel has excellent soft magnetic properties and wide application prospect.However,the brittleness of room-temperature and poor workability of cold rolling limit its deve-lopment.Recently,the researches of the preparations of high silicon steel have been already made great breakthroughs,and then,more and more attentions are focused on how to optimizing the texture of high silicon steel so as to obtain the best magnetic properties.The evolution of textures of 6.5% Si high s...

