钢厂
取向硅钢用特种氧化镁的应用研究
采用XRD、SEM和激光粒度仪等手段,观察并研究了不同特性氧化镁在硅钢表面形成硅酸镁底层形貌特点,并结合热力学和差热-失重分析了MgO-SiO2的反应机理。研究结果表明:粒度小,活性值高的特种氧化镁在高温退火过程中与基体表面氧化物生成的硅酸镁底层,界面中硅酸镁底层嵌入基体较多,表面致密,颗粒细小,有利于形成附着性能优良的硅酸镁底层。 Surface microstructure of Mg2SiO4 coatings formed on the surface of oriented silicon steel coated with different kinds of MgO was investigated by XRD and SEM.The reaction mechanism between MgO and SiO2 was analyzed by TG-DSC and thermodynamic calculation.Results revealed that when the MgO with finer microstructure size and higher activity is employed,a dense Mg2SiO4 layer with finer microstructure and good binding to the steel substrate can be obtained.The results are very helpful for the prepar...
离散粒子群优化算法在硅钢涂层近红外光谱厚度检测中的应用研究
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...
高牌号无取向电工钢RH深脱硫
以CaO-CaF2复合渣系为脱硫剂,在RH精炼过程采用真空投入法进行高牌号无取向电工钢深脱硫工业试验,采用KTH模型计算分析了RH炉渣成分对硫容量CS的影响。研究结果表明,炉渣成分控制在w((CaO))/w((SiO2))为5~7,w((CaO))/w((Al2O3))为1.5~1.8,w((Al2O3))为25%~30%,w((FeO+MnO))<5%,脱硫剂加入量为6~8kg/t时,钢中硫质量分数从平均0.003 1%降低到0.001 8%,最高脱硫率达到47.1%,平均脱硫率为41.7%。 The industrial trials on deep desulphurization of high grade non-oriented electrical steel were finished through using CaO-CaF2complex based fluxes in RH process.Using the KTH model,the effect of refining slag composition on the sulfide capacities was analyzed.The results show that the chemical composition of refining slag(mass fraction,%)is w((CaO/SiO2))between 5to 7,w((CaO))/w((Al2O3))beween 1.5to 1.8,w((Al2O3)) between 25%to 30%,w((FeO+MnO))less than 5%,and the desulphurizer addition level of...
电脉冲对取向硅钢凝固组织的影响
对熔融态钢液进行处理,研究了电脉冲对于取向硅钢凝固组织的影响作用,利用正交试验法研究了脉冲电容、频率、处理时间和电压等脉冲参数的作用效果。结果表明:电脉冲对钢锭晶粒组织具有明显的细化作用,凝固组织的等轴晶比例大幅上升,影响等轴晶比例的最显著性因素为脉冲频率,最优正交试验参数为电容1 200μF,脉冲频率1 Hz,处理时间5 s,脉冲电压800 V。随着输入能量的增大等轴晶率先增大后减小,脉冲输入能量为某值时,等轴晶率最大,利用经典形核理论和热力学对这一现象进行了解释。 The influence of electric pulse on the solidification structure of oriented silicon steel was investigated by applying electric pulse in molten steel.The affection due to different electric pulse parameters such as electric capacity,frequency,applied time and voltage was studied by orthogonal design test.The result showed that solidification structure of oriented silicon steel could be improved by the electric pulse,and the equiaxed crystal ratio increased obviously.The most influential paramete...
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...
基于爱泼斯坦方圈组合和损耗加权处理技术的取向电工钢磁性能扩展模拟
提出了一种基于爱泼斯坦方圈族(包括标准25cm爱泼斯坦方圈、缩比的17.5cm和20cm爱泼斯坦方圈)和二级加权处理方法对爱泼斯坦测试数据,包括有效磁路长度、比损耗、励磁功率,进行处理的晶粒取向电工钢磁性能扩展模拟方法。详细地考察了励磁频率、试样剪切角度和环境温度对爱泼斯坦方圈测量结果的影响。研究结果表明,利用本文提出的爱泼斯坦方圈组合以及二级加权处理技术,可以有效地建立取向电工钢损耗模拟模型,从而更加准确地确定了取向电工钢的损耗,改善并提高了爱泼斯坦磁性能测试数据的应用价值。 The extended modeling of the magnetic properties of GO(grain oriented) electrical steel is presented in this paper which is based on a set of standard and scaled-down Epstein frames and a proposed two-level weighted processing of Epstein data, including the mean magnetic path length, specific magnetization loss and exciting power. The effects of excitation frequency, strip angle and ambient temperature on the results obtained from the Epstein frames are investigated. It is shown that using the p...
CGO硅钢各阶段织构遗传继承性的EBSD分析
利用EBSD技术对CGO硅钢热轧、中间退火、脱碳退火及二次再结晶退火组织及织构进行分析,研究了CGO硅钢各阶段加工制备过程中高斯{110}<001>晶粒的形状、尺寸及分布特点,分析了高斯取向晶粒在各工序过程中的遗传继承性特点。结果表明,CGO硅钢热轧板的次表层存在Goss取向晶粒,历经一次冷轧及中间退火后Goss取向晶粒基本消失,一次再结晶之后Goss织构仍不是主要织构,主要织构为{111}<110>和{111}<112>,说明Goss取向晶粒在二次再结晶退火前数量及尺寸上并不占优势,二次再结晶过程中Goss取向晶粒异常长大形成锋锐Goss织构。{111}<110>和{111}<112>织构组分的强度在一次冷轧中不断增加,{111}<112>织构组分的强度在二次冷轧后达到最大而{111}<110>织构组分是在初次再结晶后变强。 Grain shape,size and distribution of { 110} < 001 > Goss grains in CGO steel and the hereditary characteristics of Goss orientated grains during each processing period were investigated,based on the analysis of the microstructure and texture of the CGO silicon steel during hot rolling,intermediate annealing,decarburizing annealing and secondary recrystallization annealing by means of EBSD. The results show that Goss orientated grains exist in the subsurface of the hot rolled plate,and Goss...
抑制剂成分对取向硅钢夹杂物析出及磁性能的影响
利用FE-SEM、EDS分析了含不同抑制剂成分的成品取向硅钢中夹杂物的组成和形貌,统计其尺寸及数量分布;结合对磁性能测试的结果,分析了Sn、Cu、Nb和Cr对取向硅钢磁性能影响的机理。结果表明:含Sn的取向硅钢试样中夹杂物主要为块状的微米级Al-Ti-C-N-O复合物,还有少量的球形Al-N-O颗粒和块状Ti-C-N-O颗粒,棒状夹杂物较少;含Cr的取向硅钢试样中夹杂物主要为球形的微米级Al2O3,还有少量Cu-Al-N-O-S复合物,棒状夹杂物和不规则夹杂物均较少;含Cr试样中1~3μm夹杂物的平均尺寸较含Sn试样小,但数量多,而大于3μm夹杂物的平均尺寸较含Sn试样大,但数量很少。磁性能测试结果表明,外场为800A/m和2500A/m时,含Cr试样磁感应强度偏低,铁损值P1.7/50较含Sn试样高,为1.171W/kg。 The composition and morphology of inclusions in the finished grain-oriented silicon steels are analyzed by using FE-SEM and EDS, and the number density and size distribution of the inclusions are counted. The influence mechanism of Sn, Cu, Nb, and Cr on the magnetic properties of the steel is also discussed. Results show that the inclusions composition in the grain-oriented silicon steel samples containing Sn is mainly block Al-Ti-C-N-O, compounding with a few spherical Al-N-O and block Ti-C-N-O...
