钢厂
微量Sn对0.4%Si无取向硅钢组织和磁性能的影响
结合实际生产0.4%Si无取向硅钢,统计了不含Sn和0.025%Sn无取向硅钢的磁性能变化,利用金相显微镜、X射线衍射仪观察分析不同成分下试样的显微组织和微观织构。试验结果表明:Sn元素可以显著降低无取向硅钢的晶粒尺寸,0.025%Sn试样的平均晶粒尺寸比不含Sn减小28.4%;加入Sn元素后抑制了无取向硅钢中不利于磁性能的{111}面织构组分强度,提高了对磁性能有利的{100}面织构组分强度,0.025%Sn与不含Sn相比磁感均值从1.756 T提升至1.768 T,铁损均值从5.476 W/kg降低至5.204 W/kg,明显改善了无取向硅钢磁性能。 In this paper combined with the actual production of 0.4% Si non oriented silicon steel, the magnetic properties of non oriented silicon steel without Sn and 0.025% Sn were counted. The microstructure and microtexture of samples with different compositions were observed and analyzed by metallographic microscope and X-ray diffraction. The results show that: Sn can significantly reduce the grain size of non oriented silicon steel, and the average grain size of 0.025% Sn sample is 28.4% smaller tha...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
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...
硼酸对无铬无取向硅钢涂层性能的影响
研究了硼酸对以Al(H2PO4)3为基料的无铬无取向硅钢绝缘涂层各项性能的影响。用盐雾实验、动电位极化及交流阻抗等试验手段研究了不同硼酸含量对硅钢绝缘涂层的耐蚀性和电化学行为的影响,同时采用SEM对涂层的表面形貌进行了研究。结果表明,硼酸含量为9.7%时,涂层的耐盐雾性及电化学性能最好;硼酸含量过少或过多时,涂层的耐蚀性和电化学性能都较差。 Influence of boric acid on the performance of chromium-free non-oriented silicon steel insulating coating based on aluminum dihydrogen phosphate was investigated.Salt spray experiment,potentiodynamic polarization and electrochemical impedance spectroscopy were used to study the influence of boric acid content on the corrosion resistance and electrochemical behavior of the insulation coating of silicon steel.Surface morphologies of the coatings were tested by SEM.Result shows that when the boric ...
大压下率冷轧无取向硅钢再结晶织构演变
研究了冷轧95%变形量无取向硅钢不同退火温度(710~1 050℃)下再结晶织构特征.再结晶刚完成时(710℃退火),呈现强γ({111<112>~<134>)与弱{114}<481>织构特征;随退火温度升高至900℃,γ明显减弱,{114}<481>组分持续增强,形成典型的{h,1,1}<1/h,1,2>织构;进一步升温至1 050℃,再结晶织构不再发生明显变化.基于EBSD分析,{114}<481>组分的持续强化可归因于其明显的尺寸优势以及较高频率的高能晶界(取向差角为20°~45°). A non-oriented silicon steel was heavily rolled to 95% reduction and subsequently annealed at 710~1 050 ℃ to investigate recrystallization texture evolution.When annealed at 710 ℃ with complete recrystallization,the texture is characterized by a strong partial γ fiber spreading from {111}<112> to {111}<134> and a weak {114}<481> component.As annealing at 900 ℃,γ fiber is decreased significantly while {114}<481> is increased consistently,producing a typical {h,1,1}<1/h,...
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...
硅钢在连续退火机组浪形缺陷的控制
为了消除硅钢在连续退火机组产生的浪形缺陷,对浪形缺陷产生的主要原因进行了分析。制定了相应控制措施,对炉内带钢张力、冷却段输出、碳套辊与带钢的同步性、无氧化炉燃烧状态等参数进行了调整;在生产组织上安排高低牌号宽窄规格穿插生产、定期更换碳套辊等,实施后效果明显。 The main cause leading to waviness defects of silicon steel is analyzed in order to eliminate the waviness defects of silicon steel in continuous annealing line.And thus corresponding measures for controlling these defects are made by means of adjusting these parameters such as the tension of silicon steel coils in continuous annealing furnace,the output in cooling section and the combusting condition of the non-oxidation furnace as well as keeping the synchronization between carbon sleeved roll...
冷轧无取向电工钢的试制
利用本钢技术中心试验厂技术手段,并与北京钢铁研究院合作,试制了用作家电用电机、微电机、小电机或部分中型电机铁芯的冷轧无取向电工钢。试制钢硅含量小于0.5%,钢板表面平滑,公称厚度0.5mm,且厚度均匀偏差小,性能测定结果表明,产品的磁性能、力学性能满足其使用要求。 BX STEELTechnology Center pilot plant using technical means,and with Beijing Iron and Steel Research Institute,trial cold rolled non-oriented electrical steel that has been used as appliance motor core,micro motor core,small motor core,or part of the medium-sized motor core。Trial steel of silicon content is less than 0.5%,steel plate surface is smooth,the nominal thickness of 0.5mm,and the thickness deviation is small,performance measurement results show that the magnetic properties,mechanical p...
冷轧硅钢废水处理现状、问题及对策浅析
就冷轧硅钢废水处理生产中面临的主要问题进行分析,从技术角度及运行管理角度提出工艺优化升级改进措施及应对策略;同时从后续深度处理,逐步实现零排放目标的角度进行探讨,为冷轧硅钢废水减量化、出路乃至废水零排放提供一些思路。 The main problems in the wastewater treatment process of cold-rolled silicon steel lines are analyzed and process upgrading measures and optimization strategy are put forward from both technical and management views.At the same time,downstream deep treatment to gradually achieve the target of zero discharge is discussed,to provide some ideas for reduction or even zero discharge of wastewater from cold-rolled silicon steel lines.
预退火温度对高磁感取向硅钢初次再结晶织构的影响
对高磁感取向硅钢冷轧板分别进行800、950、1050和1120℃不脱碳的预退火处理,在800℃预退火,成品的磁性能较好。织构分析的结果表明,随着预退火温度升高,初次再结晶后有利织构组分{111}<112>与不利织构组分(118)[110]的比值f(111)/f(118)逐渐降低,初次再结晶织构的变化是成品磁性的影响因素之一。 Preliminary annealing process at different temperatures for cold-rolled strips of a high permeability grain-oriented silicon steel was investigated to study the effect of the annealing temperature on microstructure and magnetic performance of the steel.Results show that the magnetic performances of the products annealed at 800 ℃ are best.Analysis of primary recrystallization texture indicates that with rising temperature,f(111)/f(118) which is the ratio of the favorable component {111}<112>...

