钢厂
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...
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...
节能电机用无取向电工钢带退火工艺的试验与应用
针对节能电机对无取向电工钢在磁性能方面的特殊要求,采用普通W600牌号的热轧板为原料,通过大量的现场工艺试验,研究总结出了\"超低张力\"的运行工艺、\"先快后慢\"的加热工艺、\"先湿后干\"的退火脱碳工艺、\"先缓后急\"的冷却工艺,生产出P1.5/50≤4.0 W/kg、B50≥1.70 T的冷轧电工钢产品,满足了节能电机的要求。 Based on the special requirements of no-oriented electrical steel for saving energy motor in magnetic aspects,using common W600 brand of hot rolled plate as raw material,through a large number of real tests,an ultra-low tension process,heating process which was quick at first and then slow,annealing decarburization process which was dry after the first wet,and a cooling technology of \"slow after the first urgent\" were concluded.Electrical steel product with P1.5/50≤4.0W/kg,B50≥1.70T was produced...
电工钢显微结构和疲劳性能的研究
研究了电工钢SXRC的显微结构和疲劳性能,并与DP钢进行了比较。结果表明,退火温度低温化能够有效的抑制电工钢的再结晶。该钢在固溶铌的作用下,能够在保证电机磁性的同时具有一定的强度。与DP钢相比,SXRC钢的抗疲劳性能更好。 The microstructures and fatigue properties of the electrical steel SXRC we re investigated, and the properties were also compared with the steel DP. The results show that the recrystallization of the electrical steel can be suppressed at lower annealing temperature. The steel presents favorable motor magnetic and also a compatible strength with the help of solid-solution Nb. Compared with the steel DP, the fatigue resistance of the steel SXRC is preferable.
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 ...
纳米TiO_2轧制液对硅钢冷轧性能的影响
分别采用传统冷轧轧制液和纳米TiO2的冷轧轧制液,对无取向硅钢板进行了四辊冷轧实验.重点研究两种冷轧轧制液的轧制润滑性能和对轧后硅钢薄带表面质量和耐蚀性能的影响.通过场发射电子显微镜和能谱仪对使用两种轧制液轧后得到的硅钢薄带表面形貌和成分进行了分析.给出了轧制液中TiO2纳米粒子在轧制过程中的抗磨减摩机理.在轧制载荷较高时,纳米TiO2轧制液具有优良的轧制润滑性能并能显著改善轧后硅钢薄带的表面质量.同时在高载荷作用下,TiO2纳米粒子被压入硅钢薄带基体,形成一个滑动系来支撑载荷,从而使润滑膜的耐磨性提高. Non-oriented silicon steel strips were rolled on a four-high cold rolling mill lubricated by a traditional cold rolling liquid and a nano-TiO2 cold rolling liquid,with emphasis on studying the rolling lubrication performance of both the liquids and their effect on the surface quality and corrosion resisting property of the silicon steel strips.The surface micrograph and composition of the silicon steel strips after being rolled with both the liquids were characterized by field emissio...
中低牌号无取向电工钢轧制工艺研究
热轧轧制工艺对产品性能和轧制稳定性影响很大,对中低牌号无取向电工钢,当在两相区轧制时,热轧塑性明显降低,板形变坏,易出现边裂等情况。以50W1000为例,通过对其变形抗力进行研究,得出把两相区控制在F4与F5之间为最佳轧制工艺的结论。在此基础上制定了一套较为合理的热轧工艺制度。采用新的轧制工艺后,50W1000热轧精轧的稳定性明显改善,热轧产品合格率由开发初期的40%左右提高到95%以上。 The hot rolling process has great influence on product′s performance and rolling stability.For the low medium grade non-oriented electrical steel,when non-oriented electrical steel is rolled in tow phase region,the hot rolling plasticity reduces obviously,the shape of strip goes bad and easily to crack at the edge.The deformation resistance of 50W1000 steel was investigated.The results show that the optimal rolling process is to control the two phase region between F4 and F5.Based on the results...
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...
