硅钢资料

研究了激光加热辅助圆盘剪高速切割技术,以解决现有冷轧生产线硅钢切边技术存在的微裂纹、应力、毛刺和边浪等问题。建立了激光加热温度场有限元分析模型,根据生产线上圆盘剪加工的实际过程,探讨了数值模拟中热源的加载形式,研究了激光对板材进行辅助加热时各个工艺参数如激光功率、光斑尺寸以及激光入射角度对切割工艺的影响,并通过实验对工艺参数进行了优化。最后,进了验证实验。实验结果显示:当激光加热点运动至圆盘剪刃口位置时,温度为100℃左右,此时材料硬度降低到原有硬度的70%~80%,降低了切削力,减少了圆盘剪的磨损,可有效提高圆盘剪的寿命。 Laser assisted trimmer side cutting technology was studied to overcome the problems such as micro cracks,stress,burrs and edge waves existing in a cold rolling production line of silicon steel side cutting.A finite element analysis model for the laser hearting temperature field was established, the loading form of a heating source was determined and influences of various processing parameters like laser powers,spot sizes,and laser incident angles on laser assisted heating sheet materials were di... 

将Fe-1.5Si硅钢试样分别在1 000~1 200℃空气条件下氧化30 min,观察发现在1 000℃和1 100℃时,氧化层与基体界面处存在硅酸亚铁,而当温度为1 200℃时,硅酸亚铁不但存在于界面处,同时也存在于氧化层中.将各温度下得到的带有氧化层的试样进行单道次热轧试验,压下率分别为10%和30%,发现1 000℃和1 100℃时,较高的压下率使氧化层破碎更加严重,但是单道次热轧未能改变氧化层的结构;当温度为1 200℃时,由于液态的硅酸亚铁的出现,单道次热轧能够将界面处的液化的硅酸亚铁层挤压到氧化层中,消除了硅酸亚铁层的钉扎基体的效应,改善了氧化层与基体界面的平直度. Specimens of Fe-1.5Si silicon steel were oxidized at 1 000 ~ 1 200 ℃ in air for 30 min.At 1 000 ℃ and 1 100 ℃ fayalite was observed at the scale/substrate interface.While at 1 200 ℃fayalite was found both at the scale/substrate interface and at the outer oxide layer.Then after the single-pass hot rolling process,with the compression ratio of 10% and 30%,it was found that at 1000 ℃ and 1 100 ℃,higher compression rate accelerated the broken of the scale layers,but the scale structure was not affec... 

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... 

采用\"热轧复合+冷轧减薄+退火\"方法成功制备了0.20mm厚的硅浓度梯度高硅钢薄带,并采用SEM和X射线衍射技术对制备过程中组织和织构演变进行了研究。热轧复合板微观组织呈明显层状分布,复合界面为紧密冶金结合且经过83%的大冷轧变形未开裂。热轧和冷轧复合板带中均形成强α和γ织构,再结晶退火后形成强γ织构。冷轧和退火织构沿板厚呈显著的梯度分布特征,其主要来自于复合界面两侧硅浓度和初始热轧织构的差异性以及冷变形的不均匀性。 Gradient high silicon steel thin sheets with thickness of 0.20 mm were successfully produced by the rolling and annealing method,including hot rolling bonding,cold rolling,and annealing.Microstructure and texture evolution was investigated by means of SEM and X-ray diffraction.Microstructure of hot-rolling-bonding shows obviously layered distribution,the composite interface was closely metallurgical bonding and no cracking appears even after 83%cold rolling.Strongαandγfibers develop in the hot a... 

【作者】 潘恒韬； 欧阳帆； ...

【机构】 武汉钢铁学院轧钢七二级电工钢结业小组； ...

【作者】 张煜； 朱国辉； ...

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... 

为满足用户对无取向电工钢中硫含量的要求,采用CaO-CaF2复合渣系为脱硫剂,利用RH投入法对无取向电工钢进行深脱硫试验。试验结果表明,RH精炼渣成分控制在w CaO43%~51%、w Al2O325%~31%、w MgO4%~6%、w SiO29%~12%、w(FeO+MnO)3%~6%,在脱硫剂加入量为6~8 kg/t时,钢中平均硫含量从32×10-6降低到18×10-6,RH平均脱硫率为43.3%,最高达47.1%。利用KTH模型计算精炼终渣平均硫容量为0.003 1,RH精炼结束时渣-钢间实际平均硫分配比从14增加到52。 In order to satisfy the requirements of consumers on sulfur content in non-oriented electrical steel,taking( CaO-CaF 2) based flux as desulfurizer,industrial experiments on deep desulphurization of non-oriented electrical steel were carried out during RH process. The results show that as the compositions of refining slag are appropriately controlled with w CaO of 43% ~ 51%,w Al2O3 of 25% ~ 31%,w MgO of 4% ~ 6%,w SiO2 of 9% ~ 12%,and w( FeO + MnO) of 3% ~ 6%,and the desulfurizer added are at 6 ~ ... 

无取向硅钢特别是中牌号以上的无取向硅钢,随着含硅量的提高,常温下塑性较差,冷轧过程中轧制力明显提高,如果存在原料质量问题,极易发生断带事故,影响硅钢冷轧过程的成材率和生产效率。通过优化冷轧工艺参数,可提高冷轧稳定性。生产中通过合理分配冷轧各道次压下量和轧制速度,保证了轧制过程的稳定,很大程度减少了冷轧断带事故的发生。 Non-oriented silicon steel, especially in the low and middle grade, with the increase of silicon content, plasticity is poor at room temperature, rolling force in cold rolling process significantly improved .If there is the quality defect of raw materials , easily sheet is rolling off. Affect finished product rate and production efficiency in process of cold-rolled silicon steel. Through optimization of cold rolled process parameter , improve the stability of cold-rolling process. Through reason... 

本文对某厂硅钢DR510温度、成分及过程控制水平和成品的组织、力学性能进行了研究,并在此基础上提出了工艺优化方案,有一定的借鉴和推广价值。 In this paper,the critical process and the products quality,including temperature,composition and process controlling level,the organization and mechanical properties of the finished product,were studied.On the basis of that the optimized technical plan provided,and this control technology is worth using and spreading. 

提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12～0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp...