硅钢资料

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... 

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. 

研究了铝和铬元素在无取向电工钢晶粒长大过程中对织构及晶界变化的影响规律。试验结果表明:电工钢在晶粒长大过程中的主要织构组分均为{111}<112>。在晶粒生长期间,不加铝的1号试样中,{111}<112>、{111}<110>织构组分强化,而{100}<001>织构组分弱化;与1号试样相比,在加入0.2%的铝(质量分数,下同)的2号试样中,{111}<112>、{111}<110>织构组分强化(增加)的速率下降,{100}<001>织构组分变化不明显,甚至稍有增加。在含铝的试样中再加入0.3 5%的铬之后(3号试样),{111}<112>{、111}<110>和{100}<001>织构组分的变化规律与1号试样相似,但当电工钢中加入0.72%的铬之后(4号试样),上述3种织构组分的变化规律与2号试样相似。对于在晶粒生长期间持续变化的3种织构组分而言,1号试样的{1 1 1}<112>和{111}<110>织构组分的高(低)取向差角度晶界频率下降(... The effect rule of Aluminm and Chromium on texture and grain boundary transformation in the nonoriented electrical steel during grain growth was investigated.The experimental result shows that the main texture component is {111}<112> in the electrical steel.The {111}<112> and {111}<110> components in specimen 1 without Alumium were strengthened during grain growth whereas {100}<001> component was weakened.But the growth rate of {111}<112> and {111}<110> compon... 

提出以“云边一体化架构”构建硅钢智慧决策系统，来解决原硅钢制造L1～L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上，开发了云边协同的自学习型控制模型及业务决策模型，构建起硅钢“智慧大脑”，形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式，探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1～L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s... 

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... 

结合工业化生产的无取向硅钢,进行了RH精炼喂CaSi线去除钢中的非金属夹杂物试验研究。针对不同的钙处理条件,分析了CaS夹杂生成热力学,观察了夹杂物的形貌和尺寸分布,确定了夹杂物的类型、数量,探讨了钙处理后钢中夹杂物的变化规律。结果表明,本试验条件下,钙处理可以有效抑制MnS、AlN夹杂物的生成,有效促进钢中微细夹杂物的聚合、上浮、去除,钢质纯净度明显提高。经过合适的钙处理后,钢中的夹杂物以独立存在的CaO为主,同时有少量含CaO、SiO2、MgO的复合夹杂,没有发现CaS夹杂存在。这部分夹杂物的尺寸集中分布在2～20μm,数量约为1.8×105个/mm3。 Experimental study on removal of non-metallic inclusions in non-oriented silicon steel obtained from industrial production by CaSi wire feeding during RH refining process was carried out.The thermodynamics of CaS inclusion formation was analyzed,the morphology and the size distribution of inclusions were observed,and the numbers and types of inclusions were also determined for the steel specimens treated under different calcium treatment conditions.Furthermore,the variation of inclusion characte... 

为了解决目前冷轧产线硅钢现有切边技术存在的微裂纹、应力、毛刺和边浪等问题,采用光纤激光器进行了高速切割实验,对激光功率、切割速度、激光模式等影响因素进行了分析,同时对高速切割时的切割前沿形状进行了研究。结果表明,切割最高速度随着功率的增加而增加;随着离焦量的增加,切割质量下降,挂渣增多,切缝宽度增加,切割深度变浅;基模激光器能量密度更高,所以薄板切割时的切割速度高于多模激光器;切割前沿随着切割速度的增加会变得平缓,速度足够大时,切割前沿甚至接近与切割方向平行,此时切缝下部存在挂渣现象。 In order to solve the problems such as micro crack,stress,burr,edge waves and so on,existing in cold rolling production line of silicon steel side cutting,experimentsof high speed laser cutting using fiber laser were carried out.Laser power,cutting speed,laser mode and other factors were analyzed,at the same time,cutting front geometries were studied.The results show that the maximum speed increases with power.And the increases of defocus result in poor quality,wider kerf and shallowerkerf.Energ... 

以太钢热连轧厂的硅钢为研究对象,利用凸度仪测量热轧带钢出口凸度值,采用矩阵和失效模式的分析方法了解影响带钢凸度变化的主次因素。研究结果表明:通过有效控制轧制过程中的加热温度、时间及采用合理的辊型,硅钢凸度精度提高了4.34%左右。 In this paper,we take the hot-rolled silicon steelsheet of Taigang as the research symbol,exit profile was measured by convex instrument,the primary and secondary factors that affect the strip profile were measured by using matrix and failure mode analysis methed.The results indicate that convexity accuracy has significantly improved by nearly 4.34% through the effective control of the heating temperature,heating time and the use of correct roller type in the process of hot rolling. 

借助电子背散射(EBSD)技术对AlN为主抑制剂的Hi-B取向硅钢常化工艺的中间冷却制度进行了研究。结果表明:常化后试样均发生了完全再结晶,在60℃/s冷速下组织最均匀;在合适的冷却制度下常化板表层保留了强的Goss织构,它深入到1/4厚度处,并且形成对Goss织构有利的强{554}<225>织构。 The intermediate cooling system of Hi-B oriented silicon steel with AlN main inhibitor in normalizing process was studied by means of electron back diffraction(EBSD) technique. The results show that:the specimens after normalizing are fully recrystallization, and the microstructure is most uniform under the intermediate cooling rate of 60℃/s; under suitable cooling system, normalized plate surface retains strong Goss texture, it penetrates into the 1/4 thickness of the plate and forming strong {... 

无取向硅钢的磁性能主要取决于铁素体的晶粒尺寸、晶体织构和钢中的夹杂物。通过合适的化学成分设计以及采用适宜的夹杂物控制技术,可以获得最佳的夹杂物控制效果,使其纯净度大幅度提高或者无害,最终获得磁性能优良的高级别无取向硅钢。同时,为满足节能、环保、高效需求,无取向硅钢正朝着节能降耗、环境友好以及多功能、高效率、易加工等方向发展。 The magnetic properties of non-oriented silicon steel mainly depend on the grain size of ferrite,the crystallographic texture,and the inclusions in the steel.The optimum inclusion control effects can be obtained through a suitable chemical composition design and an appropriate inclusion control technique,and then the liquid steel will get be clean or the inclusion will get be harmless,finally the excellent magnetic property of the non-oriented silicon steel can be obtained.Meanwhile,in order to ... 

采用X射线衍射仪分析无取向硅钢冷轧织构和再结晶退火织构的演化,研究了热轧组织对无取向硅钢织构以及磁性能的影响。结果表明,具有均匀、粗大晶粒组织的热轧板,冷轧形成更多的剪切带,导致成品板形成高的高斯织构组分,并提高了{100}织构强度,降低了γ纤维织构,最终导致成品磁感应强度升高,铁损下降。 The texture evolution of non-oriented silicon steel during cold-rolling and recrystallization annealing was investigated by X-ray diffractometer.The effects of hot band microstructure on the texture and magnetic properties of non-oriented silicon steel were analyzed.The results show that more shear bands appear during cold rolling due to homogeneous coarse grain in hot band.So strong{110}<001> texture after recrystallization annealing forms.At the same time,the {100} texture components inc... 

用Gleeble1500D模拟试验机在变形温度为950～1 200℃、应变速率为0.01～8s-1、最大变形程度为60%的条件下,对硅钢50A1300做单道次压缩试验,首先分析了不同参数对流变应力的影响,然后用回归法确定了应力模型中的变形激活能及材料常数,得到硅钢50A1300在峰值应力条件和稳态应力条件下的变形激活能分别为270.360和91.557kJ/mol,同时得到了流变峰值应力模型,模型的相关系数为0.997。最后通过作lnθ-ε图的方法找到了硅钢50A1300发生动态再结晶的临界应变量,并回归得到峰值应变量、临界应变量与参数Z/C的关系式。 To analyze the effects of different parameters on the flow stress and critical strain of the dynamic recrystallization,single-pass compression experiments were carried out with silicon steel 50A1300 specimens using a Gleeble1500D thermal simulator at a temperature range of 950-1 200 ℃ and strain rate range of 0.01-8 s-1 under the condition of maximum deformation of 60%.The average deformation activation energy is respectively 270.360 and 91.557 kJ/mol under the peak stress and steady-state stres...