钢厂
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...
熔盐电沉积过程温度对1.6Si无取向硅钢Si扩散的影响
试验了通过NaCl-KCl-NaF-SiO2熔盐在电流密度50 mA/cm2、电沉积脉冲电流正反向比9:1和750850℃60min电沉积下阴极(/mm)20×20×0.5的1.6Si无取向冷轧硅钢片断面层硅的分布,并通过计算得出Si的扩散系数。结果表明,电沉积温度由750℃提高至850℃时,试样中Si含量增加,扩散的深度由18μm提高到40μm;电沉积温度与Si在钢中的扩散系数近似符合Arrhenius指数关系。 The distribution of silicon at cross section of cathode(/mm) 20 × 20 × 0.5 sheet of 1.6Si non-oriented cold rolled silicon steel after electro-deposit treatment by NaCl-KCl-NaF-SiO2 molten salt with current intensity 50 mA/cm2,electro-deposit pulse current positive-negative ratio 9:1 at 750 850 ℃ for 60 min has been tested and the diffusion coefficient of Si is obtained by calculation.Results show that with increasing electro-deposit temperature from 750 ℃ to 85...
轧制力优化对20辊冷轧硅钢厚度精度的影响
轧制力是影响冷轧带钢厚度精度的关键因素。为实现高精度的冷轧带钢厚度控制,通过优化变形抗力模型参数和摩擦系数模型参数提高冷轧轧制力模型计算精度,并使用指数平滑法的自学习算法保证轧制力精度的稳定性。在首钢股份公司迁安钢铁公司20辊森基米尔轧机生产线进行S12硅钢钢种轧制力优化试验,将优化的模型参数应用于L2并投入现场生产,结果表明该优化方法不仅提高了轧制力设定精度,而且减小了冷轧硅钢的厚度超差长度,提高了成材率。 The rolling force is the key factor which influences the accuracy of cold-rolling strip thickness. To implement high precision control of cold-rolling strip thickness,we optimize the deformation resistance model parameters and friction coefficient model parameters to improve the calculation precision of cold-rolling force model,and use exponential smoothing self-learn algorithm to ensure the stability of rolling force accuracy. In Shougang Qiangang 20-high Sendzimir mill single stand production ...
高硅钢织构的研究现状及进展
6.5%(质量分数)Si高硅钢具有优异的软磁性能和广阔的应用前景,然而其室温脆性和低的热加工性极大地制约了它的发展。近年来,人们对高硅钢制备技术的研究已经取得了很大的进展,如何通过织构的优化提高高硅钢的磁性能越来越受到人们的关注,归纳和总结了不同工艺制备的高硅钢中的织构演变规律和特点,以及对应的典型磁性能。 6.5wt% Si high silicon steel has excellent soft magnetic properties and wide application prospect.However,the brittleness of room-temperature and poor workability of cold rolling limit its deve-lopment.Recently,the researches of the preparations of high silicon steel have been already made great breakthroughs,and then,more and more attentions are focused on how to optimizing the texture of high silicon steel so as to obtain the best magnetic properties.The evolution of textures of 6.5% Si high s...
Sn含量对高磁感取向硅钢热轧板织构的影响
实验室模拟薄板坯连铸连轧(TSCR)流程制造高磁感取向硅钢,借助电子背散射衍射(EBSD)技术对不同Sn含量的热轧板织构进行了研究。研究结果表明:不同Sn含量热轧板表层及次表层均为高斯织构、铜型织构及黄铜织构的混合织构,中心层为{100}面织构;Sn含量为0.1%时,热轧板表层及次表层高斯织构组分最多,取向密度最大,成品磁感最高,达到1.875 T。 Texture of grain oriented silicon steel hot rolled by thin slab casting and rolling process(TSCR) in laboratory with different Sn contents was analyzed by electron back-scattered diffraction(EBSD).The results show that the hot rolled slabs with different Sn contents have the same texture,i.e.,Goss,Copper and Brass.Specifically,the texture of core layer is {100};While the hot rolled slab with 0.10% Sn,the surface layer and subsurface layer have a sharpness Goss texture and the finished products h...
高硅钢薄板退火过程中的织构演变
采用传统的轧制和退火工艺制备了0.30mm厚的6.5%(质量分数)Si高硅电工钢薄板,采用X射线衍射技术对退火过程中的再结晶织构进行了研究。冷轧高硅钢薄板700℃退火形成以{111}〈112〉为峰值的γ织构(〈111〉∥ND)和以{001}〈210〉为峰值的{001}织构;而900℃以上温度退火则形成强{001}〈210〉织构。进一步的研究表明是在晶粒长大过程中{001}〈210〉发展成为主要再结晶织构组分。 High silicon steel thin sheets with thickness of 0.3mm were successfully produced by conventional rolling and annealing methods.Recrystallization texture was investigated by means of X-ray diffraction.It is found that recrystallization texture is mainly composed of γ fiber(〈111〉∥ND)with peak at {111}〈112〉 and {001} fiber with peak at {001}〈210〉 after annealing at 700℃,while strong {001}〈210〉 component dominates recrystallization texture after annealing above 900℃.It is during grain growth that {...
基于GTN损伤模型对含边部缺陷硅钢薄板冷轧时边裂的预测
采用拉伸试验和显微组织观测的方法确定了GTN损伤模型中的9个损伤参数,运用GTN损伤模型对冷轧硅钢薄板边部缺陷的扩展及边裂的产生进行了有限元模拟,并与预置缺口的钢板轧制试验进行对比。结果表明:轧制过程中边部缺陷是造成钢板边部裂纹萌生和扩展的一个重要原因,GTN损伤模型可用来预测含边部缺陷硅钢薄板在冷轧过程中边裂的产生;预测结果与试验结果基本一致。 The crack initiation and propagation of silicon steel strip with edge defect during cold rolling process was studied by using GTN damage model in this paper.Nine damage parameters in GTN model were identified by tensile testing and microstructure observing,and then the FE simulation of edge defect evolution of silicon steel strip during rolling process was conducted on the base of GTN damage model,and then the results were compared with rolling experimental results.The results show that the edge...
轧制复合法制备硅浓度梯度高硅钢薄带的织构演变
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...
提高热轧硅钢凸度精度的工艺措施
以太钢热连轧厂的硅钢为研究对象,利用凸度仪测量热轧带钢出口凸度值,采用矩阵和失效模式的分析方法了解影响带钢凸度变化的主次因素。研究结果表明:通过有效控制轧制过程中的加热温度、时间及采用合理的辊型,硅钢凸度精度提高了4.34%左右。 In this paper,we take the hot-rolled silicon steelsheet of Taigang as the research symbol,exit profile was measured by convex instrument,the primary and secondary factors that affect the strip profile were measured by using matrix and failure mode analysis methed.The results indicate that convexity accuracy has significantly improved by nearly 4.34% through the effective control of the heating temperature,heating time and the use of correct roller type in the process of hot rolling.
热轧辊冷却对冷轧无取向电工钢卷纵向磁性的影响及工艺优化
通过对35W300高牌号0.35 mm冷轧无取向电工钢卷(/%:0.002C、2.71Si、0.22Mn、0.015P、0.003S、0.0020N、0.55Als)头、中、尾组织、织构及对应的磁性能的试验研究,发现因热轧时12 MPa高压水连续冷却造成接触轧辊的钢卷头、中、尾在不同温度下轧制,卷取后钢卷头部处于卷心、温度略高而冷却速度略低于钢卷尾部,致使钢卷纵向组织、织构不同,成品卷头、尾各250 m内磁感逐渐增加,铁损逐渐降低,250 m外至钢卷中部磁性能稳定。通过将热轧辊的冷却方式改为周期冷却和卷取后的层流冷却改为钢卷70 m后开始冷却,至钢卷尾部70 m前停止冷却的方式使得钢卷纵向铁损差异明显减小,磁感差异略有改善。 According to the test research on structure and texture of head,meddle and end of 35W300 high grade 0.35 mm cold rolled non-oriented electrical steel strip coil(/%:0.002C,2.71Si,0.22Mn,0.015P,0.003S,0.002 0 N,0.55Als) and corresponding magnetic properties,It is found that due to 12 MPa high pressure water continuous cooling the roller in hot rolling process led to head,middle and tail of strip rolling at different temperature and after coiling the head of strip coil being in center of coil led t...
RH精炼工艺对无取向硅钢MgO·Al_2O_3夹杂物演变影响及控制
基于BOF→RH→CSP生产工艺,研究了RH精炼过程钢中夹杂物类型演变及MgO·Al2O3夹杂物形成规律,同时对MgO·Al2O3夹杂物的形成条件进行了热力学计算,借助CFD数值模拟软件研究了RH精炼过程卷渣行为。研究发现,RH精炼过程20和30 min时,w([MgO])/w([Al2O3])为0.005~0.020,未发现MgO·Al2O3夹杂物;RH出站后夹杂物w([MgO])/w([Al2O3])为0.3~0.5,且RH精炼结束后MgO·Al2O3夹杂物占夹杂物总量的58.4%;另外,RH精炼过程钢液表面速度CFD模拟结果为0.57 m/s,大于临界卷渣速度0.45 m/s,且顶渣成分与夹杂物成分相近,存在卷渣现象。热力学计算表明,钢液与炉渣平衡时钢中w([Al])为0.31%~0.37%,w([Mg])为0.00024%~0.00028%,在MgO·Al2O3生成区域之内。减少RH处理过程卷渣,浇铸过程下渣及控制顶渣和包衬相中MgO质量分数可抑制MgO·Al2O3夹杂物形成。 Based on the practical production of non-oriented silicon steel, the evolution of inclusion type and the formation of MgO·Al2O3inclusion were analyzed in the process of BOF→RH→CSP. The thermodynamic conditions for forming MgO·Al2O3inclusion were discussed and the behavior of slag entrapment of molten steel was also simulated by CFD software during RH refining. The results showed that the value of w([MgO])/w([Al2O3]) was in the range of 0.005-0.020 and no MgO · Al2O3 inclusion was observed at 20 ...

