钢厂
低温普通取向硅钢高温退火过程中高斯晶粒的演变
对低温加热工艺生产的普通取向(common grain-oriented,CGO)硅钢的高温退火过程进行了中断实验,材料为含3.0%Si、0.5%Cu、0.009 8%S(均为质量分数)的以Cu2S为主抑制剂的普通取向CGO钢。原始板坯厚度为230 mm,于1 200℃均热后经4道次粗轧、7道次精轧至2.3mm;热轧板采用两次冷轧法轧至0.3mm,中间完全脱碳退火,最后于1 200℃高温退火。最后样品的磁性能:铁损P17/50为1.182W/kg,磁感应强度B8为1.897T。借助配有EDAX OIM电子背散射衍射(EBSD)系统的ZEISS SUPRA 55VP扫描电子显微镜,对高温退火过程中高斯晶粒的演变进行了研究,结果表明:升温过程中晶粒尺寸增长缓慢,650℃时取向分布函数(ODF)图出现高斯织构组分,但强度很弱,高斯晶粒偏离角小于9°;950℃时高斯晶粒平均生长速度超过其他晶粒;950~1 000℃时高斯晶粒异常长大,偏离角降至约3°;在950℃之前高斯取向晶粒相比于其他晶粒没有尺寸优势。 The high-temperature annealing process of common grain-oriented(CGO)silicon steel was investigated by interrupting test.The samples were rolled from CGO silicon steel slab under low reheating temperature.The CGO silicon steel,taking Cu2S as the main inhibitor,contains3.0%Si,0.5%Cu,and 0.0098%S.The original casting slab is 230mm in thickness.After 1 200℃reheating,four-pass rough rolling and seven-pass finish rolling were conducted to make the thickness of the slab get to 2.3mm.Then the hot rolled...
夹杂物尺寸及数量对无取向硅钢磁性能影响的主成分回归分析
采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the...
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,...
退火温度对3.1%Si无取向硅钢组织织构与磁性能的影响
研究了退火温度对3.1%Si无取向硅钢组织和磁性能的影响规律。结果表明:退火温度从940℃提高至1 000℃,平均晶粒尺寸由98μm增加到145μm,铁损P1.5/50从2.576 W/kg降低至2.408W/kg。随着退火温度的升高,γ不利织构组分强度逐渐降低,{111}〈112〉织构组分强度降低约16%,磁感B50逐渐升高,磁性能水平提高。 The effects of annealing temperature on microstructure and texture and magnetic properties of 3.1%Si non-oriented silicon steel were investigated in this paper.The results showed that,when the annealing temperature increased from 940℃ to 1 000℃,the average grain size of metallographic structure increased from 98μm to 145μm,the iron loss value P1.5/50 decreased from2.576 W/kg to 2.408 W/kg.And as the annealing temperature increased,the strength of the unfavorable texture componentγgrad...
固溶处理对高牌号无取向硅钢磁性能的影响
对商用50W330型无取向硅钢成品在930℃下保温2 h固溶并以不同方式冷却处理,利用磁性检测仪检测分析了处理前后的磁感和铁损变化,应用光学显微镜、扫描电子显微镜、X射线衍射仪观测分析了显微组织结构的演变。考察了平均晶粒尺寸、织构组分比及第二相粒子状态对磁性能的影响规律,结果表明:固溶处理前后平均晶粒尺寸的变化对硅钢磁性能的影响非常显著;当平均晶粒尺寸相差不大时,织构组分比[Goss+{100}]/{111}越大,磁感会越高;固溶处理会将细小弥散的第二相粒子重新回溶到基体中,减小了其对磁畴壁的钉扎作用,铁损随之下降。 The commercial 50W330 non-oriented silicon steel samples were heat treated at 930℃ for 2 h and cooled in different ways,then the iron loss and the magnetic induction of the samples before and after solution treatment were measured with a magnetic detector.The evolution of microstructural texture was analyzed by optical microscopy,scanning electron microscopy and X-ray diffractometry.The effects of average grain size,texture composition ratio and the second phase particles on the magnetic propert...
冷轧无取向硅钢横向厚差控制
冷轧中中低牌号的无取向硅钢多采用万能凸度轧机(Universal crown mill,UCM)生产,其板形好坏受制于UCM轧机板形调节手段的协调使用。为掌握UCM轧机的板形控制特点,建立基于二维变厚度有限元的辊系弹性变形和基于三维差分的轧件塑性变形的六辊轧机耦合模型,对UCM轧机的板形调控性能进行详尽的分析,包括工作辊和中间辊弯辊、中间辊窜辊的调控功效、辊间接触压力分布等。在此基础上,提出可用指导生产的板形控制策略,指出UCM轧机在横向厚差控制方面的不足。针对工业生产中UCM轧机轧制无取向硅钢横向厚差大的问题,在大量仿真计算的基础上,开发具有高次曲线函数的边部变凸度(Edge variable crown,EVC)的工作辊。采用该工作辊后,各种品种的无取向硅钢的横向厚差不大于10μm的百分比由24%提高到99%,横向厚差的均值小于6μm,远小于之前的13μm。 Medium-low grade non-oriented silicon steel is rolled often by universal crown mill(UCM) during cold rolling.Its shape quality is dependent on the coordinated control of several shape adjustment devices of UCM.In order to understand the shape control characteristics of UCM,coupling model of six-high rolling mill,based on two-dimensional varying thickness finite element rolls elastic deformation model and three-dimensional finite difference strip plastic deformation model,is setup for the detaile...
加热温度对W470高硅钢连铸坯氧化铁皮的影响
采用SEM、EDS和XRD对不同加热温度下W470连铸坯氧化铁皮的微观形貌及相结构进行研究。结果表明,W470氧化铁皮难以除去的原因是氧化铁皮熔化,液相包裹着FeO,凝固时发生共晶反应,生成FeO/Fe2SiO4共晶混合物,并深嵌入基体。降低加热炉的加热温度,使连铸坯全程在FeO/Fe2SiO4共晶混合物熔点(1177℃)以下加热,可降低氧化铁皮与基体的结合力,能够有效解决W470除鳞困难问题。 The microstructure and phase structure of iron scale of W470 continuous casting billet at different heating temperatures were investigated by SEM,EDS,and XRD.The results show that the reason why the iron scale of W470 removes hardly is that iron scale is melted and the FeO is surrounded by the liquid phase,which forms FeO / Fe2SiO4eutectic mixture and is embedded into the matrix after solidification.Lowering the heating temperature and keeping the continuous casting billet heating under the melt...
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...
