钢厂
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...
正火对双辊薄带连铸5.28%Si-1.11%Al无取向高硅钢磁性能的影响
采用双辊薄带连铸工艺试制了2.6 mm厚5.28%Si-1.11%Al高硅钢薄带,对比了1050℃×5 min正火及不正火铸带280℃冷轧至0.5 mm后,再经900～1100℃退火的磁性能。结果表明,高硅钢铸带显微组织为等轴晶组织,正火后铸带边部晶粒长大,中心层晶粒变化较小。成品中析出物主要为较粗大的AlN和AlN+MnS复合析出物,尺寸为0.5～2.5μm。与不正火试样相比,正火试样成品铁损大幅降低,磁感小幅下降;随退火温度的升高,两种工艺下铁损和磁感都是先降低后升高,在1050℃出现最低值。 2.6 mm thickness 5.28% Si-1.11% Al non-oriented high silicon steel was produced by twin roll thin strip casting.Magnetic property of the strip un-normalized and normalized at 1050 ℃×5 min was contrasted after cold rolled to 0.5 mm at 280 ℃ and 900-1100 ℃ final annealing.The results show that microstructure of the strip is equiaxed crystal.The surface grain is coarsened and the center layer grain has little change of the normalized strip.The main precipitates are AlN and MnS+AlN with 0.5-2.5 μm s...
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...
热处理工艺对含Mn高硅钢热轧带的组织及硬度的影响
研究了热处理工艺(退火温度、保温时间、冷却方式)对含Mn的Fe-6.5wt%Si高硅钢热轧带的显微组织及硬度的影响。结果表明,退火温度对Fe-6.5wt%Si合金的组织和显微硬度均有较大影响,随退火温度升高,平均晶粒尺寸和显微硬度均明显增大。小于1 h退火时,晶粒长大缓慢,而长时间(>1 h)退火时,一些次表层晶粒将发生异常长大。水冷组织比空冷组织略细小,但水冷显著降低了显微硬度。Mn含量提高能抑制850℃退火时晶粒的长大,并且促进退火后高硅钢的软化。 The influences of heat treatment process(annealing temperature,heating time,cooling methods) on the microstructure and microhardness of Fe-6.5wt%Si high silicon steel containing manganese for hot rolled strip were studied.The results show that the annealing temperature has a great effect on the microstructure and microhardness of Fe-6.5wt%Si alloy,and as the annealing temperature increases,the average grain sizes and microhardness will significantly increase.When annealing time for less than 1 h...
Sn含量对高磁感取向硅钢热轧板织构的影响
实验室模拟薄板坯连铸连轧(TSCR)流程制造高磁感取向硅钢,借助电子背散射衍射(EBSD)技术对不同Sn含量的热轧板织构进行了研究。研究结果表明:不同Sn含量热轧板表层及次表层均为高斯织构、铜型织构及黄铜织构的混合织构,中心层为{100}面织构;Sn含量为0.1%时,热轧板表层及次表层高斯织构组分最多,取向密度最大,成品磁感最高,达到1.875 T。 Texture of grain oriented silicon steel hot rolled by thin slab casting and rolling process(TSCR) in laboratory with different Sn contents was analyzed by electron back-scattered diffraction(EBSD).The results show that the hot rolled slabs with different Sn contents have the same texture,i.e.,Goss,Copper and Brass.Specifically,the texture of core layer is {100};While the hot rolled slab with 0.10% Sn,the surface layer and subsurface layer have a sharpness Goss texture and the finished products h...
电工钢显微结构和疲劳性能的研究
研究了电工钢SXRC的显微结构和疲劳性能,并与DP钢进行了比较。结果表明,退火温度低温化能够有效的抑制电工钢的再结晶。该钢在固溶铌的作用下,能够在保证电机磁性的同时具有一定的强度。与DP钢相比,SXRC钢的抗疲劳性能更好。 The microstructures and fatigue properties of the electrical steel SXRC we re investigated, and the properties were also compared with the steel DP. The results show that the recrystallization of the electrical steel can be suppressed at lower annealing temperature. The steel presents favorable motor magnetic and also a compatible strength with the help of solid-solution Nb. Compared with the steel DP, the fatigue resistance of the steel SXRC is preferable.
TSCR试制高强度无取向电工钢
采用固溶强化、细晶强化和位错强化方法,模拟TSCR流程试开发高强度无取向电工钢,试开发钢的主要合金成分为3%Si、0.83%Al和2.99%Mn。分析热轧、常化、退火后的钢板组织,并针对不同的成品板组织,详尽地分析了相应的力学性能和磁性能。试验电工钢平均晶粒直径为12.37μm时,R p0.2为530 MPa,R m为618 MPa;当退火制度为700℃×4 min,成品组织完全为未再结晶的回复组织时,R p0.2为853.5 MPa,R m为895.5 MPa。该成分的电工钢P15/50或P10/400最小时,对应的平均晶粒直径都大于59.67μm;P10/800或P10/1000最小时,对应的平均晶粒直径都处于12.37~59.67μm尺寸区间。 TSCR was simulated to develop high-strength non-oriented electrical steel with 3% of Si,0.83% of Al and 2.99% of Mn by solution strengthening,grain refinement strengthening and dislocation strengthening.The microstructures of hot rolled plates,normalized plates and annealed plates were analyzed.Furthermore,the mechanical properties and magnetic properties of products with different microstructures were detailedly studied.As the average grain diameter of the steel was 12.37 μm,the yield strength ...
硅钢常化退火炉辊印缺陷预测分类预警方法研究
针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan...
