钢厂
无取向硅钢热轧边裂的形成原因
利用加热炉模拟、动态再结晶以及热模拟等试验方法以及扫描电镜、金相显微镜等分析观察手段对无取向硅钢边裂的成因进行了探讨。结果表明,长时间加热使得板坯边部晶粒异常长大,晶界氧化并脱碳,轧制过程中边部温度过低,动态再结晶过程变弱,使得板坯边部延伸性能变差,是导致硅钢边裂的主要原因。建议通过适当降低铸坯加热温度、缩短保温时间、提高终轧温度来改善硅钢边裂缺陷。 The behaviors of high temperature oxidation,dynamic recrystallization,and hot ductility,microstructure evolution were investigated on the non-oriented electrical steel sheets to discuss the formation of edge crack.The key causes of cracking was found to be the coarse as-cast microstructure,grain boundary oxidation and decarburization in reheating furnace,as well as reduced temperature at strip edge region during hot rolling process resulting in reduced hot ductility and lack of enough dynamic re...
Fe-3.15%Si低温取向硅钢不同常化工艺下的组织及析出相研究
利用OM,TEM,EDS与XRD技术,对Fe-3.15%Si低温取向硅钢热轧板不同常化处理后的显微组织、析出相及最终产品的磁性能进行了分析研究,并对热轧板和常化板经过冷轧后的冷轧板织构进行了对比分析.结果表明,采用1120℃保温3 min二段式冷却的常化处理工艺,常化板表层显微组织均匀,沿板厚方向的显微组织的不均匀性显著,对后续过程中形成高取向的Goss织构最有利,取向硅钢的磁性能最高;采用二段式冷却的常化冷却工艺最优,在此冷却工艺下析出的细小的析出物数量最多,且弥散分布在基体中,抑制剂的抑制效果最好,对成品获得高磁性最有利;热轧板、常化板经过冷轧后的冷轧板织构均主要由{111}〈110〉和{111}〈112〉织构组成,但常化板较热轧板冷轧后的冷轧板γ取向线织构密度明显增高,由此可以证实常化处理有助于取向硅钢最终获得高取向的Goss织构. The decreasing of slab heating temperature for grain-oriented silicon steel will reduce the amount of precipitates in hot rolled plate,and be disadvantage to the formation of ultimate Goss texture.The aim of normalizing is to control and adjust the amount,size and distribution of precipitates.Microstructures,precipitates and magnetic characteristics of finished products with different normalizing technologies for Fe-3.15%Si low temperature hot rolled grain-oriented silicon steel are researched,a...
不同尺寸电工钢样品磁性能检测对比分析
对CSP流程生产的无取向电工钢M50W800不同尺寸样品的磁性能进行了测试和分析,结果表明:采用不同单片检测的磁性能结果与标准的Epstein方圈样品检测对比,存在明显的偏差;且同一尺寸的单片纵横向样品之间相比较,对应的磁性能差异性也较大。几种不同尺寸的单片样品,以320mm×30mm尺寸的纵横向平均值最接近标准Epstein方圈样的性能值,其铁损偏差最小。 The magnetic properties of M50W800 non-oriented electrical steel produced by CSP process were tested and analyzed with samples of different sizes,showing that significant deviation existed compared to that of Epstein square circle sample.In particular,obvious difference in magnetic properties also existed between longitudinal and transverse samples of the same size.For test samples of different sizes,the average magnetic properties of 320mm×30mm samples are the closest to that of Epstein square ...
电脉冲对取向硅钢凝固组织的影响研究
对取向硅钢熔融态钢液进行处理,对比研究了不同脉冲参数的作用效果。结果表明,电脉冲对钢锭晶粒组织具有明显的细化作用,凝固组织等轴晶比例大幅上升。在脉冲电容、频率、处理时间和电压中,影响等轴晶比例的最显著性因素为脉冲频率;最优正交实验参数为:电容1 200μF,脉冲频率1 Hz,处理时间5 s,脉冲电压800 V;随着输入能量的增大,等轴晶率先增大后减小,脉冲输入能量为某值时,等轴晶率最大,通过经典形核理论和热力学对这一现象进行了解释。 Research on the influence of the electric pulse on the solidification structure of oriented silicon steel was preformed.Electric pulses in different parameters were applied to molten steel and results were compared.The result shows that solidification structure of oriented silicon steel can be improved by the electric pulse,and the equiaxed crystal ratio increases obviously.Among the four parameter factors of electric capacity,frequency,applied time and voltage,the most effective factor is frequ...
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...
初次再结晶退火工艺对3%Si取向硅钢组织和织构的影响
试验研究了0.3 mm取向硅钢冷轧板(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005A1)的退火温度(760~880℃7 min)和退火时间(820℃3~9 min)对该钢的晶粒尺寸,再结晶和织构的影响。结果表明,最佳初次再结晶退火工艺为820℃5 min,该钢的平均晶粒尺寸为14.20μm,完全再结晶率为92%,不利{111}<110>结构含量为3.16%,有利织构{111}<112>,{012}<001>和高斯织构含量分别0.40%,4.73%和2.46%。 The effect of annealing temperature(at 760 ~ 880 X.for 7 min) and time(at 820℃ for 3~9 min) on grain size,recrystallization rate and texture of 0.3 mm cold-rolled sheet of oriented silicon steel(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005Al) has been tested and studied.Results show that with optimum recrystallized annealing at 820℃ for 5 min,the silicon steel average grain size is 14.20 fun,the complete recrystaUization rate is 92%,the unfavourable-texture {111}< 110 > content in steel is ...
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...
电感耦合等离子体质谱法测定硅钢中痕量铜和镍
研究了应用电感耦合等离子体质谱法(ICP-MS)测定硅钢中痕量铜和镍的分析方法。采用硝酸分解样品,通过内标校正和基体匹配消除了基体干扰的影响,同时根据测量时存在的质谱干扰情况,选择同位素65Cu和60Ni作为测定元素和通过调节仪器参数使双电荷离子的产率最低,以减少带来的干扰。该方法用于硅钢中痕量铜和镍的测定,所得的结果与ICP-AES法测定结果完全吻合,各元素测定结果的RSD值小于5%,加标回收率为97.3%~100.3%。 A method for the determination trace copper and nickel in silicon steel by inductively coupled plasma mass spectrometry(ICP-MS) was studied.The samples were dissolved in HNO3.The effect of matrix interference was eliminated by internal standard correction and matrix matching.Meanwhile,according to the mass spectral interferences in determination,the isotopes including 65Cu and 60Ni were used as measuring elements.The yield of double-charge ions were minimized by adjusting instrumental parameters...
低温高磁感取向硅钢高温退火过程高斯晶粒的演变
对低温加热工艺生产的以AlN为主抑制剂的高磁感取向硅钢高温退火过程进行中断实验,借助电子背散射衍射技术对高温退火过程中高斯晶粒的演变进行了研究.在升温过程中高斯晶粒平均尺寸先减小再增大.800℃时取向分布函数图出现高斯织构组分,但强度很弱,高斯晶粒偏离角在10°以上;900℃时高斯晶粒平均生长速率超过其他晶粒;950~1000℃时高斯晶粒异常长大,偏离角3°~6°;在1000℃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 high permeability grain-oriented silicon steel with AlN as an inhibitor was studied by interrupting test.The evolution of Goss texture in this process was analyzed by electron back-scattered diffraction.It is found that the Goss grain size first decreases and then increases with the rise of temperature.Goss texture appears in the orientation distribution function at 800 ℃,but the intensity is very weak and the deviation angle is more than 10°.The average...
一类非线性系统控制方法在硅钢生产上的应用
硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re...

