钢厂
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...
融入结构张量和活动轮廓的硅钢表面缺陷分割
为了解决在纹理背景下冷轧硅钢表面缺陷的分割问题,提出了基于局部信息结构张量和活动轮廓模型的硅钢表面缺陷分割方法。将图像的局部信息引入到结构张量中;在结构张量提取的特征空间中,以KL距离作为区域的概率密度相似性度量建立分割图像的活动轮廓模型;采用Split-Bregman数值解法对模型进行求解。运用提出的分割方法对硅钢表面的一些常见缺陷如纵向划伤、横向划伤、异物和孔洞等进行分割实验。实验结果表明,该方法可以准确地分割出硅钢表面缺陷区域,验证了该方法的有效性。 In order to address the segmentation problem for cold rolled silicon steel surface defect based on the texture background,a novel method based on structure tensor and active contour model is proposed.Image local information is introduced to the structure tensor.In the extracted feature space of structure tensor,KL distance is treated as a regional similarity measure of the probability density to establish active contour model for image segmentation.The numerical solution of Split-Bregman is used...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...
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 ...
双辊薄带连铸3.98%Si-0.71%Al无取向硅钢的组织、织构和磁性能
采用双辊薄带连铸工艺制备了厚度为2.4mm的3.98%Si-0.71%Al无取向硅钢带,经常化、冷轧、不同温度退火后,对其显微组织、析出物、织构和磁性能进行了检测分析。结果表明:随着退火温度的提高,退火板晶粒尺寸增大,组织均匀性提高;退火板析出物主要是AlN和MnS与AlN复合析出物,尺寸较粗大,达0.5~2.5μm;退火板织构沿厚度方向变化明显,表层和1/2层存在较强的{100}织构,1/2层还存在较强的{111}织构,1/4层主要是{112}织构;随退火温度的升高相应的铁损和磁感应强度均降低。 Using twin roll thin strip continuous casting technique,the 3.98%Si-0.71%Al no-oriented silicon steel strip in thickness of 2.4mm was produced.The microstructure,precipitates,texture,and magnetic properties of the sheet after normalizing,cold rolling and annealing at different temperatures were studied.The results show that with annealing temperature increase,the grain size and uniformity of annealed sheet increased.The main precipitates in coarse size of 0.5-2.5μm in annealed sheet were AlN and...
高强无取向硅钢组织演变与强化机制
针对新能源汽车的发展，制备了含Ni固溶强化、含Cu析出强化以及含Ni+Cu复合强化3%Si无取向硅钢，研究了强化方式对无取向硅钢组织、织构和性能的影响。结果表明：固溶强化型无取向硅钢热轧板中形成了粗大{221}<221>晶粒，冷轧过程中剪切变形明显并在退火后形成良好再结晶织构。析出强化型无取向硅钢热轧板中心层形成γ取向粗大晶粒，在后续的加工中γ织构逐渐增强并最终得到相对细小的再结晶晶粒。复合强化型无取向硅钢热轧板中保留了强λ取向带状组织，退火后形成了有益的Goss织构和λ织构。固溶强化型与复合强化型无取向硅钢磁感应强度B50分别达到1.742、1.688 T,高于析出强化型无取向硅钢的1.645 T。同时，复合强化型无取向硅钢高频铁损最低，其P1.0/400和P1.0/1 000分别低至20.97、82.69 W/kg,这与其较小的晶粒尺寸和织构改善有关。强度计算结果表明：Ni元素固溶强化对强度的提高有限，屈服强度为468 MPa,纳米Cu析出可显著提高屈服强度（强度增量约200 MPa）,且主要来自于模量强... For the development of new energy vehicles, 3%Si non-oriented silicon steel were processed by solid solution strengthening with Ni, precipitation strengthening with Cu, and composite strengthening with Ni and Cu. The effects of different strengthening methods on the microstructure, texture and properties of high-strength non oriented silicon steel were studied.The results show that coarse {221}<221> grains are formed in the hot rolled sheet of solution strengthened non-oriented silicon ste...
