硅钢资料

利用光学显微镜、TEM和EBSD研究了退火温度对双辊连铸无取向硅钢再结晶组织的影响。结果表明,900℃退火后组织分布不均匀,有大量带状组织,平均晶粒尺寸29.5μm。提高退火温度,晶粒尺寸增大,组织均匀化程度增加,1050℃退火时,带状组织基本消失,平均晶粒尺寸42.2μm。 Effect of annealing temperature on recrystallization microstructure of non-oriented electrical steel produced by twin-roll casting process was investigated using OM,TEM and EBSD.The results show that the recrystallization microstructure is uneven because of many banded grains existing,average grain size is 29.5 μm.With annealing temperature increasing,the recrystallization grain size increases,microstructure becomes more homogeneous.When 1050 ℃ annealing,the banded structure almost disappear and... 

阐述了影响硅钢卷材下料利用率的因素,并结合具体事例利用计算机排样系统进行了详细分析,对提高硅钢卷材的利用率具有一定的指导作用。 It describes the factors influenceing the the utilization ratio of the roll of Silicon steel,and analyzes it in detail combined with concrete examples by a computer arrangement system,which can give a guide for increasing the utilization ratio of the roll of Silicon steel. 

介绍了烟气余热利用系统的工艺流程及控制思想,结合该系统在钢厂硅钢连续退火机组中的应用实践,估算出烟气余热利用系统每年可节约蒸汽5 040 t,经济效益良好,同时分析了该系统存在的问题及对策。 Introduced a method about the process and control of the application of waste heat system, which had been used into a silicon steel continuous annealing line and profiting a good economic benefit by saving a large number of steam every year, which has been estimated about 5 040 tons, and analyzed the problems and solutions existed in this system. 

采用X-射线衍射分析技术测定了取向硅钢热轧板在不同压下率下不同厚度处的织构。结果表明,在压下率低于80%的情况下,几乎所有试样的不同厚度处的织构均为旋转立方织构类型{100}<011>,但不同压下率、不同厚度处的织构强度存在很大差异;在压下率大于80%的情况下,不同试样的不同厚度处的织构类型发生了变化,其织构类型为旋转立方织构或高斯织构{011}<100>,且当织构类型为旋转立方织构时,织构强度存在很大差异,而当织构类型为高斯织构时,织构强度差异相对较小。 The texture of the grain oriented silicon steel hot rolled plate at different compressibility has been measured.The experimental results have shown that the texture of all samples at different thickness is {100}<011> when the compressibility is below 80%,and its intensity at different compressibility and thickness is difference.The texture of all samples at different thickness is variable when the compressibility is above 80%,it is {100}<011> or {011}<100>,and the intensity of ... 

研究了CSP流程试制50W270高牌号无取向硅钢热轧→常化→冷轧→退火过程中织构的演变.利用电子背散射衍射技术对全流程织构进行测量和分析.发现热轧板织构在厚度方向上存在较大差异,表层主要为铜型、黄铜和高斯织构,1/4层存在微弱的高斯织构和旋转立方织构,中心层以γ纤维织构和旋转立方织构为主,还含有较弱的α纤维织构.与热轧板相比,常化板表层和1/4层织构变化不大,中心层旋转立方织构和α纤维织构增强.冷轧板各层均具有α纤维织构和γ纤维织构.与冷轧板相比,成品板各层中α纤维织构基本消失,还出现了立方织构和高斯织构. This article focuses on texture evolution in 50W270 high-brand non-oriented silicon steel produced by CSP in hot rolling,normalizing,cold rolling,and annealing processes.The texture in the whole process was measured and analyzed by electron back-scatter diffraction.It is found that the texture along the thickness direction in hot-rolled strips changes obviously;there are mainly copper,brass,and Goss textures in the surface layer;the 1/4 layer has weak Goss texture and rotating cube texture;γ-fib... 

【摘要】 <正>据武钢股份公司提供的消息,武钢将与...

【作者】 朱一知； 陈山； ...

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... 

借助于EBSD对比研究了常化退火对高牌号无取向电工钢热轧组织和织构演变的影响,分析了常化退火对热轧板各厚度层织构的演变规律。结果表明,常化退火改善了热轧组织的均匀性,并弱化了热轧变形的γ纤维织构。升高常化退火温度,可增大热轧板的晶粒尺寸,提高{100}和{110}织构组分占有率,有利于提高无取向电工钢成品板的磁性能。 Effects of normalizing annealing on microstructure and texture of high-grade non-oriented electrical steel hot-rolled sheet were investigated by EBSD. Emphasis was put on the effects of normalizing annealing on texture evolution in the sheet thickness. The results show that the hot-rolled microstructure homogeneity is improved and the γ-fiber texture is weakened by normalizing annealing treatment. The grain size of hot-rolled sheet and intensity of the {100} and {110} favorable texture can be in... 

研究了采用高温卷取热轧态原料和常化态原料生产高牌号冷轧无取向电工钢组织、织构和磁性能。研究发现钢卷采用750℃高温卷取,下线后立即采用\"保温罩\"对钢卷进行保温,时间96h,然后空冷至100℃时上线生产的工艺可取代常化工艺生产高牌号冷轧无取向电工钢。冷轧上线前,热轧态原料的表层为大量的再结晶组织,这部分组织包括了热轧轧制时保留下来的动态再结晶组织,钢卷本身高温回复后产生再结晶晶粒,以及在保温罩内保温时形成的再结晶组织。高温卷取的热轧态和常化态的热轧卷作为原料时,试样织构类型相似,取向分布密度接近,再结晶后织构类型仍然相似,取向分布密度仍然接近。Goss织构对磁性能增加有促进作用。实验钢中较好的磁性能对应的织构[{100}+Goss]/{111}的比值较高,体现了织构的遗传性。 Microstructure,texture and magnetic properties of high grade cold rolled nonoriented electrical steel which made of hot rolled material with high temperature coiling and with normalization were studied.Steels coiled in high temperature(at 750 ℃),stacked with insulation cover for 96hand air cooled to 100 ℃ were using to manufacture high grade nonoriented electrical steel.The process can replace the normalization process.There are a lot of recrystallized grains in the surface layer of the coil wit... 

通过金相分析和电子背散射衍射技术研究了一种新型含铜无取向电工钢在950℃退火不同时间(3～180s)空冷后的组织和织构取向的演变。结果表明:该钢在退火3s时的主要织构为α和γ线织构,{100}<110>织构最强;退火20s时织构以<111><112>、{111}<110>、{112}<110>、高斯织构和立方织构为主,随着退火时间的延长,高斯织构和立方织构强度呈减弱趋势;合理控制保温时间有利于提高{100}、{110}面织构的占有率。 Evolution of microstructure and texture oriented of a new non-oriented electrical steel during annealing at 950℃for different times(3-180) s and air cooling was studied by metallography and electron back-scattering diffraction analysis.The results show that after annealing for 3 s most of the texture oriented alongα-fibre andγ-fibre,the intensity of {100}〈110〉was the strongest.{111}〈112〉,{111}〈110〉,{112}〈110〉,Gauss texture and cube texture were the main texture after annealing for 20 s,with the ... 

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...