钢厂
硅钢脱硫影响因素分析研究
对RH法(真空循环脱气法)生产的冷轧硅钢的脱硫原理及影响因素进行了分析研究。研究表明:降低顶渣中FeO、MnO的含量,提高钢液温度,增加脱硫剂的加入量并延长其循环时间有利于提高脱硫效率。 The principles of desulfurization and its influence factors of cold rolling silicon steel during RH process have been studied in this paper.The result indicated that reducing contents of FeO and MnO,rising temperature of the liquid steel,increasing quantity of desulfurizer,lengthening cycle time of desulfurzer are benefit for desulfurization.
无取向硅钢冶炼过程中的夹杂物遗传变化
研究表明,硅钢中的夹杂物对成品带钢的磁性能有显著影响。为研究冶炼过程硅钢中的夹杂物遗传变化,进而提出更有效的控制措施加以去除,本文结合典型的无取向硅钢生产炉次,采用非水溶液电解提取+扫描电镜观察方法分析冶炼过程中上述炉次典型试样的夹杂物。结果表明:转炉冶炼结束、RH精炼开始时,钢的氧化物夹杂总量最大,约为0.23%;RH精炼过程中,氧化物夹杂总量不断降低,并在脱碳结束时达到最低,约为0.02%;连铸过程中,氧化物夹杂总量仍有不断降低趋势,但夹杂物的平均尺寸变化不大。本试验条件下,中间包试样的夹杂物数量约为1.59×104个/mm3。 As we all know, the non-metallic inclusion effects magnetic properties of silicon steel sheets obviously. The article aims to study the heredity of non-metallic inclusion in non-oriented silicon steels during the steel making process, and then provides a more effective controlling measure to remove the inclusions. Based on the typical non-oriented silicon steel charges, the non-aqueous solution extraction and SEM observation were adopted to analyze the non-metallic inclusions. Results show that,...
高硅FeSi合金层对普通取向硅钢磁性能的影响
目的提高硅钢的磁性能。方法采用多弧离子镀技术,在普通取向硅钢薄板两面沉积高硅FeSi合金层制得高硅梯度硅钢,并进行热处理,观察其显微组织,测量磁性能。结果退火态高硅梯度硅钢表面的高硅FeSi合金层与基底结合紧密,均匀致密。高硅梯度硅钢中硅含量呈梯度分布,最表层硅质量分数为11.0%,随着深度增加,硅含量逐渐降低,在距表面20μm处硅质量分数仍能达到6.5%。沉积态高硅梯度硅钢的电阻率ρ、低频铁损P10/50、高频铁损P10/1k及磁感应强度B8分别为68.6μΩ·cm,0.82W/kg,83.3 W/kg和1.73 T,退火后分别为63.1μΩ·cm,0.44 W/kg,54.38 W/kg和1.89 T。结论由于表层高硅FeSi合金层的存在,梯度高硅钢的低频磁学性能良好,但高频损耗需进一步改善。 Objective To improve the magnetic properties of silicon steel. Methods FeSi alloy coatings with high-silicon content were deposited on the surface of common grain-oriented silicon steel by cathodic arc plasma evaporation,and then a kind of high silicon gradient steel was prepared. The morphologies,content and magnetic properties of the samples were tested. Results FeSi alloy coatings were featured with compact microstructures and excellent adhesive quality with the substrates. The silicon conten...
无取向硅钢夹杂物分析
采用非水溶液电解方法来提取无取向硅钢中夹杂物。通过扫描电镜(SEM)观察结果表明:无取向硅钢中主要夹杂物为六棱柱的AlN、不规则硅酸盐及球状的铁的硫化物和氧化物,其中AlN夹杂尺寸在1~5μm,数量较多,还有部分AlN的复合夹杂。进一步研究了AlN复合夹杂形成机理,采用了Thermo-Calc热力学计算软件计算出该钢样中AlN、MnS析出温度分别为1 240℃、1 200℃,而Al2O3析出温度大于1 800℃,从而为AlN复合夹杂形成机理提供了一个理论依据。 Extracting inclusions from non-oriented silicon steel in non-aqueous electrolysis is a nondestructive method to gain inclusions.Scanning electron microscopy shows that the main inclusions in non-oriented silicon steel were hexagonal AlN,which was of large quantity,irregular silicate,spherical iron sulfide and oxide.The size of AlN inclusions ranged from 1to 5μm,and there were some duplex inclusions of AlN.To further study the formation mechanism of AlN duplex inclusions,Thermo-Calc thermodynamic...
夹杂物尺寸及数量对无取向硅钢磁性能影响的主成分回归分析
采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the...
无取向电工钢边部减薄控制技术研究
叠片系数是冷轧无取向电工钢的重要质量指标。为了提高叠片系数,必须保证无取向电工钢板形良好以及横向厚差小。针对攀钢冷轧厂4机架HC轧机轧制无取向电工钢的边部减薄问题,以无取向电工钢横向厚差最小作为目标函数,建立了一套针对无取向电工钢边部减薄控制的辊型曲线优化数学模型,开发了无取向电工钢专用辊型曲线,使无取向电工钢横向厚差从25μm降低到10μm以下,取得了良好的控制效果。 The lamination factor is an important quality index of non-oriented silicon steel strip.Considering the lamination factor,the non-oriented silicon steel must have a good shape and a smaller transverse thickness difference.In order to solve the edge thinning of non-oriented silicon steel strip in Panzhihua Steel,a mathematic model for designing the roll shape is built.In the model,the transverse thickness difference of non-oriented silicon steel strip is taken as the objective function.Based on t...
50W600无取向硅钢钙处理的热力学分析及实验研究
通过热力学计算及实验室研究,对钙处理前后50W600无取向硅钢退火冷轧板中夹杂物的类型、数量及尺寸进行了系统分析。结果表明,50W600无取向硅钢经钙处理后(w(Ca)=0.002 6%),钙在1 600℃的钢液中主要以固态的CaO·2Al2O3、CaO·6Al2O3及溶解钙的形式存在。在钢液的凝固过程中,钢中的溶解钙和硫反应生成了CaS和CaS-MnS复合夹杂,有效抑制了MnS的弥散析出,减少了钢中微细夹杂物的数量。同时钙处理促进了钢中微细夹杂物的聚合长大,导致显微夹杂物的数量增加。 Based on thermodynamic calculation and laboratory experiment,the type,quantity and size of inclusions in annealed cold-rolled steel sheets of 50W600 non-oriented silicon steel before and after calcium treatment were systematically studied.Results showed that after calcium treatment(w(Ca) = 0.002 6%),calcium was mainly in the form of CaO·2Al2O3,CaO·6Al2O3 and dissolved calcium in steel at 1 600 ℃.Dissolved calcium could combine with sulfur to form CaS inclusions and compound CaS-MnS inclusions du...
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...
两段式正火对含Sb冷轧无取向电工钢磁性能的影响
利用OM、EBSD等手段研究了热轧板两段式正火时在700℃保温不同时间(0、10、30、60 min)对含Sb冷轧无取向电工钢磁性能的影响。结果表明,700℃保温10 min处理的样品铁损最小,磁感最高。对成品板的组织分析结果表明,试样的晶粒尺寸随700℃保温时间的延长先增大后减小,保温10 min时晶粒尺寸达到最大;分析成品试样织构发现,有利织构组分随700℃保温时间的延长先增加后减少,保温10 min时有利织构组分所占百分比最高。因此,含Sb冷轧无取向电工钢两段式正火时在700℃保温10 min时磁性能最好。 Effect of two-stage normalization on magnetic property of non-oriented electrical steel containing antimony was investigated by using optical microscope(OM) and electron back-scattered diffraction technology(EBSD).The experimental results show that the iron loss and magnetic permeability of the specimen insulated at 700 ℃ for 10 min are lowest and highest respectively.The grain size of the finish specimens increases first and then decreases with the increase of holding time.Similarly,the advanta...
无取向硅钢C6厚涂层性能的影响因素
本文介绍了无取向硅钢C6涂液的性能,研究了配水量、固化程度和涂层厚度等因素对无取向硅钢C6涂层性能的影响。结果表明,随着配水量的增加,完全固化所需的时间增加,涂液固体含量降低,涂层厚度减小;随着固化程度的提高,涂层硬度先增大然后趋于恒定,而柔韧性逐渐变差,在过固化后急剧恶化;涂层厚度对涂层的表面外观、附着性和绝缘层间电阻均有显著影响。 Based on the introduction about the performance of C6 varnish for non-oriented silicon steel sheets,effects of water amount,curing degree and coating thickness are discussed. Results show that with the increase of water amount,the time required to cure completely extends,and both the solid content of C6 varnish and the coating thickness decrease. As the curing degree increases,the hardness of the coating increases first and then tends to be constant,however the flexibility degenerates,especially...
常化和退火工艺对冷轧无取向硅钢高频磁性能和强度的影响
冷轧无取向硅钢(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N)经890℃或940℃3 min常化的2.3 mm热轧板冷轧成0.35 mm薄板。研究了常化温度和800920℃3 min退火对该钢高频(400Hz)磁性能和抗拉强度的影响。结果表明,830920℃退火时高频铁损P10/400值最低,随退火温度增加,晶粒尺寸增大,钢的抗拉强度降低;该钢的最佳热处理工艺为常化温度940℃,退火温度830℃,其抗拉强度Rm、高频铁损P10/400和磁感应强度J50分别为565 MPa,21.5 W/kg和1.69 T。 The cold-rolled non-oriented silicon steel(/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N) is cold-rolled to 0.35 mm sheet from 2.3 mm hot-rolled plate normalized at 890 ℃ or 940℃ for 3 min.The effect of normalizing temperature and annealing process at 800 920 °C for 3 min on high frequency(400 Hz) magnetic properties and tensile strength of the steel has been tested and studied.Results show that with annealing at 830 920 ℃the high frequency iron loss value P10...

