钢厂
高效电机用冷轧无取向电工钢退火板析出物的析出特征研究
通过热力学计算,分析了实验钢中主要析出物析出的可能性。结果表明:在液相和固液两相区中,AlN和MnS均不能析出;在奥氏体区,AlN和MnS具备热力学析出条件,平衡析出温度分别为1547、1582 K。成品退火板中的析出物主要为AlN和MnS。扫描电镜下观察到的AlN形貌多为长条状,MnS形貌多为棒状或近似球形。这两种析出物占了析出物总量的85%以上,尺寸集中分布在400~800nm;复合析出物主要是(Al2O3+MnS)和(AlN+MnS),形貌不规则,尺寸集中在0.7~1.5μm;透射电镜下观察到了少量100nm以下独立的AlN析出。 According to thermodynamic calculation, the precipitation probability of precipitates was analyzed, AlN and MnS can not precipitate in liquid phase area and solid-liquid two-phase area. In austenite area, both the AlN and MnS have precipitation condition in thermodynamics and precipitates at 1547 K and 1582 K, respectively. The precipitates in annealing plate are mainly AlN and MnS. The shape of AlN is mostly strip, and MnS is stick or near sphericity. They accounted for over 85% of the total qu...
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...
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...
无取向电工钢边部减薄控制技术研究
叠片系数是冷轧无取向电工钢的重要质量指标。为了提高叠片系数,必须保证无取向电工钢板形良好以及横向厚差小。针对攀钢冷轧厂4机架HC轧机轧制无取向电工钢的边部减薄问题,以无取向电工钢横向厚差最小作为目标函数,建立了一套针对无取向电工钢边部减薄控制的辊型曲线优化数学模型,开发了无取向电工钢专用辊型曲线,使无取向电工钢横向厚差从25μm降低到10μm以下,取得了良好的控制效果。 The lamination factor is an important quality index of non-oriented silicon steel strip.Considering the lamination factor,the non-oriented silicon steel must have a good shape and a smaller transverse thickness difference.In order to solve the edge thinning of non-oriented silicon steel strip in Panzhihua Steel,a mathematic model for designing the roll shape is built.In the model,the transverse thickness difference of non-oriented silicon steel strip is taken as the objective function.Based on t...
取向硅钢超大高斯晶粒取向偏离角的X射线衍射测量
介绍了一种适用于超大晶粒取向硅钢的高斯晶粒取向偏离角的X射线衍射测量方法,提出了将试探法和探测器扫描法相结合的方式进行测量。结果表明:该方法可以同时获得准确的实际衍射角度和取向偏离角度,试样制备方式简单,对设备的要求低且测量结果准确。 This paper introduces a X-ray diffraction measurement method of Gaussian grain orientation deviation angle for ultra-large grain oriented silicon steel, and puts forward a method of combining the test method with the detector scanning. The results show that this method can obtain accurate actual diffraction angle and orientation deviation angle at the same time. The sample preparation method is simple, the requirements for equipment are low, and the measurement results are accurate.
电工钢生产中硫的控制
针对攀钢高硫铁水冶炼现状,结合不同生产工艺路线,论述了攀钢近年来为实现低硫电工钢的生产,在铁水预处理、转炉冶炼、钢水精炼过程中硫控制技术的开发与应用,形成了低硫洁净钢生产工艺技术,实现了低硫电工钢的生产。低硫电工钢RH脱硫率可达到20%左右,成品[S]控制在0.006%左右。 According to the smelting situations of hot metal with high sulphur content at Panzhihua Steel,combined with different produce processes,technologies for controlling the sulfur content during hot metal pretreatment,converter smelting,and second refining are developed. Technologies in low-sulfur clean steelmaking are formed. Low-sulfur electric steel are produced. As for the desulfurization rate of lowsulfur electric steel can reach about 20%,and the content of [S] in products is controlled to ab...
宝钢无取向电工钢发展历程及生产技术进步
简要介绍了宝钢无取向电工钢的发展历程、产品大纲、电磁性能控制情况,以及高附加值新产品的开发、应用情况。概述了近年来宝钢无取向电工钢生产技术进步,主要包括夹杂物控制技术、连轧机高牌号硅钢制造技术、同板差控制技术、环保涂层开发技术等。 This paper briefly summarizes the development history, product catalogue, and magnetic properties of non-oriented electrical steel sheets at Baosteel, as well as the development and application of high-value-added steel grades. Recent advances in manufacturing electrical steel sheets are also introduced, including technologies for controlling inclusion, producing high-grade steel strips by a tandem rolling mill, and controlling the transverse thickness difference of steel sheets, as well as the ...
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...
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...

