钢厂
退火工艺对无取向硅钢磁性能的影响
分析总结退火工艺各参数对冷轧无取向硅钢磁性能的影响,结合设计和生产实践经验介绍退火工艺中各参数的实际生产取值,并针对现生产工艺过程中出现的典型问题提出解决办法。 It is analyzed and summarized the great influences on magnetism of cold rolled non-oriented silicon steel affected by various annealing process data in this article.The relevant settled ways is raised.According to the actual value presetting ways for various annealing process data based on design and production,as well as typical problems occurred during production.
常化温度对热轧无取向硅钢组织与磁性能的影响
为研究常化温度对热轧无取向硅钢组织与织构的影响,采用光学显微镜、背电子散射衍射技术研究了不同常化温度对其影响。结果表明,实验硅钢板在700~850℃温度下常化时,随常化温度的升高,晶粒尺寸增大,有利组分α织构增强,不利组分γ织构降低。对比研究了800℃和850℃常化热轧板CSL晶界分布图与取向差分布图,在本文研究条件下,Goss织构易在Σ=3,9的CSL晶界及晶粒取向差为30°~55°处形成。 The hot strips normalized at different temperatures were investigated by optical microscope and EBSD to study the effect of normalizing temperature on microstructure and texture of hot-rolled non-oriented silicon steel sheets.The results show that the grain size increases,the intensity of α-fibre texture increases,and the γ-fibre texture decreases when the hot strips are normalized at the 700-850 ℃.And CSL boundaries of Σ=3 and 15,and misorientation angles between 30° and 55° are more likely rel...
退火温度和时间对用电沉积法制备的高硅钢性能的影响
研究了退火温度和退火时间对电沉积硅钢试样中的断面层组织、硅在试样中的分布情况、织构分布和磁性能的影响。结果表明:退火温度为1000℃、退火时间为210 min时得到的试样晶粒分布均匀、硅在试样中分布均匀、硅平均浓度为6.3715%(接近6.5%)。试样的织构分析及磁性能检测的结果表明,在较高温度下延长退火时间可增加{100}和{110}面织构,降低铁损,所得试样的磁性能较为良好。 The effect of annealing temperature and time on the microstructure, distribution of silicon,texture and magnetism of the high silicon steel prepared by electrodeposition was investigated. The results showed that after annealing at 1000℃ for 210 min, the mean grain size of steel was about 190 μm with a uniform grain size distribution, and the silicon is also uniformly distributed on the entire cross section with an average Si concentration 6.3715%(close to 6.5%); With the increasing annealing tim...
低温高磁感取向硅钢连铸与均热过程AlN与MnS析出的热力学
针对薄板坯连铸连轧流程结合\"获得抑制剂法\"所制备的低温高磁感取向硅钢,通过热力学计算研究了AlN与MnS在连铸与均热过程中的析出规律与行为。计算结果表明,连铸过程中AlN在凝固后的高温α相中便可能析出,而MnS仅可能在凝固后的α+γ两相区内析出。钢中AlN与MnS在均热过程中均处于部分固溶与部分析出的状态。后续高温渗氮处理后初次晶粒的异常长大并不明显,表明渗氮处理前钢中固有抑制剂的数量相对充足。 The precipitation behavior of MnS and AlN in low-temperature high magnetic induction grain-oriented silicon steel produced by thin slab casting and rolling process with\"acquired inhibitor method\"during continuous casting and soaking was studied by thermodynamic calculation.The calculated results show that AlN is likely to precipitate in ferrite after solidification.However,MnS can precipitate only in the two phase region of ferrite and austenite.Meanwhile,MnS and AlN in the steel can not be comp...
CSP工艺生产无取向电工钢
介绍了CSP工艺生产无取向电工钢各工序的设备特点、采用的工艺控制手段和电工钢产品质量情况,结合生产实践证明了马钢CSP工艺开发的无取向电工钢产品丰富了薄板坯连铸连轧的品种结构,发挥了薄板坯连铸连轧生产无取向电工钢性能均一、稳定的特点。 The equipment characteristic,the process control method and the quality of non-orientated silicon steel by CSP process were introduced.Combined with the production situation,it is proved that production of non-orientated silicon steel developed on Masteel CSP line would enrich product structure of thin slab continuous casting and rolling,and it exerts stable performance of non-orientated silicon steel.
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...
国内外中低牌号无取向硅钢夹杂物控制效果解析
选用国内外无取向硅钢标杆企业A、B、C的产品,采用非水溶液电解提取+SEM(EDS)方法,分析了其典型牌号对应成品试样中的夹杂物。结果表明,从磁性能控制角度而言,受钢的化学成分及生产工艺影响,A、B、C企业成品试样的夹杂物尺寸、种类、数量存在差异,这些差异对其磁性能产生显著影响;从夹杂物控制角度而言,A、B、C企业对应成品试样的夹杂物,以MnS、CuxS复合或者AlN、MnS、CuxS复合为主,其中1.0μm以下的夹杂物数量分别为2.34×107个/mm3、2.98×107个/mm3和11.98×107个/mm3,1.0μm以上夹杂物数量均很少,夹杂物的平均尺寸从大到小依次为A企业、B企业、C企业。 According to the production of three benchmarking manufacture enterprises A,B and C of non-oriented silicon steel at home and abroad,the inclusions in finished steel samples with typical grades were investigated by electrolytic extraction from non-aqueous solution and SEM(EDS).Results show that,from the viewpoint of improving the magnetic properties,affected by chemical composition and production technique,the size,type and amount of inclusions in finished steel samples are various,which will af...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
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...
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...
稀土Ce对含Sn高磁感无取向电工钢磁性能及夹杂物的影响
研究稀土Ce的添加对含Sn高磁感无取向电工钢磁性能及夹杂物的影响。对比分析了两种成分钢的磁性能以及各过程工艺条件下夹杂物种类和分布情况。结果表明,在含Sn高磁感无取向电工钢中加入稀土元素Ce可以粗化夹杂物,提高成品晶粒的均匀性,有效降低铁损;同时Ce的添加不影响Sn元素提高磁感的效果,磁感保持不变。 Effect of Ce on magnetic properties and inclusion of Sn-bearing high permeability non-oriented electrical steel was investigated. A comparative analysis of the magnetic properties and the types and distributions of inclusion in the two sheets with different composition shows that the addition of Ce to the Sn-bearing high permeability non-oriented electrical steel can coarse the inclusion,improve the homogeneity of the finished grain and effectively decrease the core loss. Also,the addition of Ce...
硅元素对Fe-(4.5~7.0)%Si高硅钢组织和性能的影响
通过Axio Imager金相显微镜考察4.5%~7.0%硅(质量分数)对高硅钢材料组织形貌的影响,并利用Fe-6.5%Si高硅钢薄板制备方法对其进行轧制,通过DDL50电子万能试验机对阶段产品进行力学性能测试。结果证明,硅含量为5.58%的高硅钢在实验硅含量区间内存在最大延伸率及最小铸态组织晶粒尺寸。 An investigation about the influence of 4.5%-7.0% Si on microstructure and mechanical properties of high-silicon steel was presented.SEM was adopted to take an observation towards microstructure during fabrication,and DDL50electronic universal testing machine was applied into the detection of tensile curves.The results show that silicon steel with 5.58% Si provides the maximum elongation and minimum grain size as cast.
低温板坯加热取向硅钢形变和初次再结晶织构的演变规律
采用取向分布函数和取向线分析方法对低温板坯加热取向硅钢从热轧到初次再结晶工艺阶段的织构进行了研究。研究表明:一次冷轧后各层的织构组分与热轧板各层面的织构组分存在着继承关系,次表层存在很强的{001}<110>织构,中心层的织构和热轧板的中心层相似,存在强的{001}<110>和{112}<110>织构;中间退火后发生再结晶,各织构组分的强度有所减弱,Goss织构组分再次出现;二次冷轧后沿厚度方向上的织构不均匀性不明显,{111}<112>织构强度最高,几乎是其他织构组分的1倍,{001}<110>织构大幅降低;初次再结晶后织构沿厚度方向没有明显的不均匀性,{111}<110>为最强的织构组分,并且具有一定强度的Goss位向。 The texture from the first cold rolling to the primary recrystallization of low temperature slab reheating grain-oriented electrical steel were researched by orientation distribution function and orientation distribution intensity technique.The results show that after the first stage of cold rolling,there is a strong {001}<110> texture in the subsurface and the texture in center layer is very similar to the center layer of hot band which has strong {001}<110> and {112}<110> tex...

