钢厂
高牌号无取向硅钢CSP流程铸坯及热轧板的组织和夹杂物分析
2.9 mm热轧3%Si高牌号无取向硅钢板(/%:0.004 6C、3.04Si、0.32Mn、0.49Als、0.004S、0.013P、0.0042N)由CSP(Compact Strip Production紧凑式带材生产线)流程:120 t BOF-70 mm CC-热轧工艺生产。热轧终轧温度872℃,卷取温度683℃。铸坯及热轧板的组织和夹杂物的分析结果表明,铸坯组织为典型的贯穿柱状晶组织;热轧板边部为再结晶组织,中部为纤维组织带有少量再结晶晶粒;高牌号无取向硅钢的主要夹杂物为铸坯-Al2O3,AlN和Cu2S+MnS;热轧板-Al2O3,AlN,AIN+MnS和Cu2S+MnS。 The 2.9 mm hot rolled 3%Si high grade non-oriented silicon steel plate(/%:0.004 6C,3.04Si, 0.32Mn,0.49Als,0.004S,0.013P,0.004 2N) is produced by CSP(Compact Strip Production) flow sheet i.e.120 t BOF-70 mm CC-hot rolling process with end rolling at 872℃and coiling at 683℃.The analysis results on structure and inclusions in casting slab and hot rolled plate show that the structure of slab is typical trans-columnar crystal,the structure of hot rolled plate at edge is recrystallized grain and in ce...
硅钢RH处理过程碳和硫行为分析
分析了太原钢铁(集团)有限公司第二炼钢厂80 t RH生产冷轧硅钢脱碳、脱硫原理及影响因素,认为通过合理控制RH到站钢水碳和氧含量、加大插入管内径、采用快速抽真空度等可提高脱碳效果。降低顶渣中FeO和MnO含量,保证脱硫剂加入后的循环时间可以提高RH脱硫率。 The present article analyzes the principle of decarburization and desulfurization in refining the cold rolled silicon steel in the 80 t RH in No.2 Steelmaking Plant of Taiyuan Iron & Steel(Group) Corp.,and its influencing factors.It’s determined that the decarburization effect can be achieved by properly controlling the cabon and oxygen contents in the hot metal coming into the RH station,enlarging the inner diameter of snorkel and adopting the fast evacuation method.In the meanwhile the des...
EBSD技术在硅钢织构研究中的应用
运用电子背散射衍射(EBSD)和X射线衍射(XRD)技术对硅钢热轧板的织构在板厚方向的分布进行了研究,并分析了两种织构测量方法的特点。EBSD技术能直观给出板厚方向的微观织构,XRD能得到钢板的宏观统计织构信息,结合两种技术的分析,能更直观更精确的研究不同织构在板厚方向的分布。 The texture distribution along the thickness of the silicon steel has been investigated by electron backscatter diffraction(EBSD) and X-ray diffraction(XRD) technique.The characteristics of two technique of texture analysis have been investigated.Combined the two techniques,the texture distribution along the thickness of the silicon steel could be realized distinctly and accurately.
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...
提高硅钢卷材下料利用率的几种方法
阐述了影响硅钢卷材下料利用率的因素,并结合具体事例利用计算机排样系统进行了详细分析,对提高硅钢卷材的利用率具有一定的指导作用。 It describes the factors influenceing the the utilization ratio of the roll of Silicon steel,and analyzes it in detail combined with concrete examples by a computer arrangement system,which can give a guide for increasing the utilization ratio of the roll of Silicon steel.
50A1300牌号无取向硅钢磁性能改善工业实践
结合工业化生产的50A1300牌号无取向硅钢,分析了化学成分、RH精炼脱氧方式、板坯装炉温度以及热轧平整工艺等对磁性能的影响,探讨成品钢磁性能的改善。结果表明,采取改善后,50A1300牌号无取向硅钢的磁性能得到明显改善。2012年,该钢种平均铁损、磁感应强度分别达到5.26 W/kg、1.762 T,能够较好地满足用户市场需求及同行对标需要。 Based on the industrial manufacture of 50A1300 grade non-oriented silicon steel sheets,effects of chemical composition,deoxidization method in RH vacuum refining,charging temperature of steel slabs,hot rolling and flattening progress on magnetic properties are analyzed.The optimization methods of magnetic properties of steels are discussed. Results show that the magnetic properties are obviously improved by the adopted measures above. In 2012,the average core loss and the magnetic induction of 5...
新能源车电机用硅钢选材分析
为了提升新能源车用驱动电机的功率密度,各大电机厂商都在不断地提升电机转速,随之而来的问题就是电机的铁耗也在不断增高,如何降低电机铁耗成为了电机厂商必须要解决的难题。本文讨论了电机铁耗的组成部分及影响因素,并对1台8极48槽的永磁同步电机分别使用3种不同厚度的材料进行仿真,对比其效率及铁耗分布,推导出驱动电机中硅钢厚度、铁耗及成本的关系,最后对驱动电机选材提出建议。 In order to increase the power density of traction motor for new energy vehicles,major motor manufacturers have been constantly increasing the motor speed.The following problem that manufacturers have to solve is how to reduce the increasing iron loss when the motor speed is increased.The components and influencing factors of motors’ iron loss were discussed in this paper,and an 8-pole 48-slot permanent magnet synchronous motor using three different thickness materials was simulated.To compare i...
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...
无抑制剂取向硅钢概述
概述了无抑制剂法生产取向电工钢的特性及其用途;总结无抑制剂生产取向电工钢的原理及工艺方案.重点讨论了成分方案,即元素对磁性能的影响和最终高温退火方案对二次再结晶的影响.研究结果表明,无抑制剂取向硅钢化学成分范围没有普通取向硅钢和高磁感取向硅钢严格,提高了成材率;最终高温退火决定了二次再结晶的好坏,从而最终决定成品磁性能,最佳的高温退火温度在850~950℃之间. This article provides an overview on the characteristics and uses of inhibitorless process producing grain-oriented electrical steels.The mechanism of inhibitorless process and technology programs were discussed.The results show that the chemical composition and final annealing were determined according to magnetic properties.The inhibitor-free grain oriented silicon steel has loose range of chemical composition;Secondary recrystallization occurs mainly in the final annealing and the best anneal...
0.3 mm厚的高强无取向电工钢的退火组织与性能
借助光学显微镜、扫描电镜、交流磁性能测量仪和万能拉伸试验机研究了0.3 mm厚高强无取向电工钢冷轧板在780、820、860和900℃退火保温2 min后的组织、织构和性能。结果表明:在退火温度范围内,试验钢均发生了完全再结晶,得到等轴状的铁素体晶粒;随着退火温度的升高,平均晶粒尺寸从9.2μm增长到41.3μm,工频铁损和400 Hz高频铁损均先大幅减小后趋于平缓,磁感应强度先升高后降低。在820℃退火时,铁损P1.5/50=5.51 W/kg,P1.0/400=33.22 W/kg均处于较低值,磁感应强度B5000最大,为1.649 T。试验钢的屈服强度和抗拉强度均随退火温度的升高而降低,780℃退火时屈服强度为496 MPa, 900℃退火时降低至407 MPa。综合磁性能和力学性能考虑,试验钢的最佳退火温度是820℃。 Microstructure, texture and properties of 0.3 mm thick high strength non-oriented electrical steel cold rolled sheet annealed at 780 ℃, 820 ℃, 860 ℃ and 900 ℃ for 2 min were studied by means of optical microscope, scanning electron microscopy, AC magnetic property tester and universal tensile testing machine. The results show that in the annealing temperature range, complete recrystallization of the experimental steel occurs and equiaxed ferrite grains are obtained. With the increase of annealin...
大压下率冷轧无取向硅钢再结晶织构演变
研究了冷轧95%变形量无取向硅钢不同退火温度(710~1 050℃)下再结晶织构特征.再结晶刚完成时(710℃退火),呈现强γ({111<112>~<134>)与弱{114}<481>织构特征;随退火温度升高至900℃,γ明显减弱,{114}<481>组分持续增强,形成典型的{h,1,1}<1/h,1,2>织构;进一步升温至1 050℃,再结晶织构不再发生明显变化.基于EBSD分析,{114}<481>组分的持续强化可归因于其明显的尺寸优势以及较高频率的高能晶界(取向差角为20°~45°). A non-oriented silicon steel was heavily rolled to 95% reduction and subsequently annealed at 710~1 050 ℃ to investigate recrystallization texture evolution.When annealed at 710 ℃ with complete recrystallization,the texture is characterized by a strong partial γ fiber spreading from {111}<112> to {111}<134> and a weak {114}<481> component.As annealing at 900 ℃,γ fiber is decreased significantly while {114}<481> is increased consistently,producing a typical {h,1,1}<1/h,...
无取向硅钢夹杂物分析
采用非水溶液电解方法来提取无取向硅钢中夹杂物。通过扫描电镜(SEM)观察结果表明:无取向硅钢中主要夹杂物为六棱柱的AlN、不规则硅酸盐及球状的铁的硫化物和氧化物,其中AlN夹杂尺寸在1~5μm,数量较多,还有部分AlN的复合夹杂。进一步研究了AlN复合夹杂形成机理,采用了Thermo-Calc热力学计算软件计算出该钢样中AlN、MnS析出温度分别为1 240℃、1 200℃,而Al2O3析出温度大于1 800℃,从而为AlN复合夹杂形成机理提供了一个理论依据。 Extracting inclusions from non-oriented silicon steel in non-aqueous electrolysis is a nondestructive method to gain inclusions.Scanning electron microscopy shows that the main inclusions in non-oriented silicon steel were hexagonal AlN,which was of large quantity,irregular silicate,spherical iron sulfide and oxide.The size of AlN inclusions ranged from 1to 5μm,and there were some duplex inclusions of AlN.To further study the formation mechanism of AlN duplex inclusions,Thermo-Calc thermodynamic...

