钢厂
稀土Ce对含Sn高磁感无取向电工钢磁性能及夹杂物的影响
研究稀土Ce的添加对含Sn高磁感无取向电工钢磁性能及夹杂物的影响。对比分析了两种成分钢的磁性能以及各过程工艺条件下夹杂物种类和分布情况。结果表明,在含Sn高磁感无取向电工钢中加入稀土元素Ce可以粗化夹杂物,提高成品晶粒的均匀性,有效降低铁损;同时Ce的添加不影响Sn元素提高磁感的效果,磁感保持不变。 Effect of Ce on magnetic properties and inclusion of Sn-bearing high permeability non-oriented electrical steel was investigated. A comparative analysis of the magnetic properties and the types and distributions of inclusion in the two sheets with different composition shows that the addition of Ce to the Sn-bearing high permeability non-oriented electrical steel can coarse the inclusion,improve the homogeneity of the finished grain and effectively decrease the core loss. Also,the addition of Ce...
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...
中、厚板坯生产的取向硅钢组织及织构特征
采用中、厚板坯生产技术对取向硅钢进行了研制和开发,对热轧及后工序样品进行了金相组织观察和EBSD分析,探讨了两种组织及织构的差异性,研究结果表明:除高温退火样品外,中板坯生产的取向硅钢各工序样品平均晶粒尺寸大;厚板坯生产的取向硅钢热轧和常化样品亚表层Goss织构强;中板坯和厚板坯的脱碳退火板织构没有明显区别。中板坯生产的取向硅钢成本低,产品磁性能和质量与厚板坯相当。 Grain oriented silicon steel was researched and developed by medium thickness slab and thick slab.Microstructures observation and EBSD analysis to the samples of hot rolling and following processes were carried out,respectively.The differences between the two kinds of microstructures and textures were discussed.The results show that the average grain sizes of every process samples are larger except that of high temperature annealing samples of grain oriented silicon steel produced by medium thic...
成品第二次退火工艺对高牌号无取向电工钢35W300组织和性能的影响
对高牌号无取向电工钢35W300的成品进行了第二次退火,对第二次退火后的成品性能、纵横向磁性能差异和组织变化进行了分析。结果表明,随着第二次退火温度的升高,晶粒长大,磁性能优化。铁损平均值下降0.087 5W/kg,磁感平均值升高0.008T。第二次退火温度为820℃的产品的磁性能能够满足用户使用要求。 The product of high grade non-oriented electrical steel 35W300 was annealed at the second time.Microstructure,the difference of magnetic properties in the vertical and horizontal and were studied.The results show that the grain grew up and magnetic properties optimized with the increase of annealing temperature for the second time.Iron loss average declines in 0.0875 W/kg,magnetic induction average increases 0.008 T.The magnetic properties can meet the requirements of users at the second anneali...
高性能取向硅钢的工业化生产研究
采用光学显微镜、X射线衍射仪等分析了宁波钢铁有限公司生产的取向硅钢不同工序下的组织及织构演变规律。结果表明:铸坯经过热轧后,沿着厚度方向组织不均匀;一次冷轧并经脱碳退火后,组织由条状纤维状变成等轴状的初次再结晶晶粒,初次再结晶平均晶粒尺寸为18.17μm,织构主要以α织构和γ织构为主;在二次冷轧后,晶粒再次被压缩,转变为纤维状,织构主要为γ织构;经过高温退火后,发生二次再结晶,晶粒异常长大,晶粒尺寸达到厘米级,织构成分为单一且锋锐的Goss织构。 The microstructure and texture evolution of oriented silicon steel produced by Ningbo Iron and Steel Co.,Ltd.were analyzed by optical microscope and X-ray diffraction.The results showed that the microstructure of the slab was inhomogenous along the thickness direction after hot rolling.After first cold rolling and decarburizing annealing,the microstructure changed from strip fibrous to equiaxed primary recrystallized grains,and the average grain size of the primary recrystallization microstructu...
电工钢边缘降控制研究
以马鞍山钢铁集团公司电工钢板形优化控制研究项目为背景,系统地研究了热轧、冷连轧和单机架轧机在电工钢生产过程中的边缘降控制问题。通过现场数据采集、工况数值模拟计算和工业化大生产试验,设计出适用、合理的电工钢板形控制的辊型优化曲线,满足了不同工序、不同机型的板形控制策略要求,解决了电工钢板形质量问题,取得了显著的经济效益。 Based on the project of electric steel strip shape optimization control,problem of edge drop control was systematically studied in production of electric steel of hot-rolling mill,cold-rolling mill and single stand mill.Roll optimization contour was designed out in point and reasonable by collection of work condition data,numerical simulation and test of industrial production.The shape control system can meet with the different working steps and difference mills,and quality problem of electric s...
无取向硅钢成品钢卷头、尾磁性能差异探讨
结合工业化生产过程中出现的同卷带钢头、尾磁性能差异现象,对50SW1300牌号无取向硅钢同卷带钢头、尾试样的夹杂物、晶体织构和显微组织进行了分析研究。结果表明,夹杂物、晶体织构是影响成品钢卷磁性能的重要因素。夹杂物是造成同卷带钢头、尾铁损差异的主要原因。夹杂物数量越多,尤其是小尺寸的夹杂物数量越多,对成品带钢的磁性能影响越大,对于本试验而言,AlN和MnS是影响成品带钢磁性能的主要夹杂物。晶体织构是造成同卷带钢头、尾磁感应强度差异的主要原因。有益的{100}和Goss织构含量越大,有害的{111}<110>和{111}<112>织构含量越小,即有益织构与有害织构含量比越大,成品带钢的磁感应强度越大。 Based on the industrial manufacture of non-oriented silicon steel sheets 50SW1300, the magnetic property variation of head and tail of the same finished steel sheets was discussed by analyzing non-metallic inclusion, crystal texture, and microstructure. Results show that, both of the non-metallic inclusion and the crystal texture will affect the magnetic properties significantly. The non-metallic inclusion is the key factor of the core loss variation of head and tail of the same finished steel s...
高温退火气氛对硅钢表面硅酸镁底层形貌的影响
对取向硅钢在不同气氛下的高温退火工艺进行实验室模拟,利用X射线衍射仪(XRD)分析了硅钢退火至900℃和1170℃时的样品表面氧化层和底层的物相组成,采用场发射扫描电镜(SEM)观察了样品表面氧化层和底层在截面方向上的微观形貌特征,并计算了高温退火一次升温阶段氧化反应的吉布斯自由能以及900℃时退火气氛的氧分压。结果表明:当退火气氛的露点温度保持一定时,较高的氢气含量有利于生成完整连续的底层;当退火气氛的水氢分压比保持一定时,在露点温度与氢气含量两者较低的条件下,底层附着性不佳易脱落,较高条件下,底层中夹杂着较多的铁单质;当氧化层中无FeO时,底层完整连续但易脱落,当FeO层较薄时,底层下方存在部分未反应的SiO2,当FeO层较厚时,底层不完整连续且有分层。 The high temperature annealing process of grain-oriented silicon steel in different atmospheres was simulated in the laboratory. X-ray diffractometer(XRD) was used to analyze the phase compositions of the surface oxide layer and forsterite film of the silicon steel annealed to 900 ℃ and 1170 ℃. Field-emission scanning electron microscopy(SEM) was used to observe the micro morphology characteristics of the surface oxide layer and forsterite film of the samples in the cross section direction. The ...
云边一体化系统架构下硅钢制造管理业务数字化融合应用
提出以“云边一体化架构”构建硅钢智慧决策系统,来解决原硅钢制造L1~L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上,开发了云边协同的自学习型控制模型及业务决策模型,构建起硅钢“智慧大脑”,形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式,探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1~L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s...
不同牌号无取向硅钢夹杂物定性定量分析
无取向硅钢中夹杂物的存在会抑止晶粒生长,使基体的均匀连续性中断,其在钢中的形态、含量及分布情况都不同程度影响着硅钢的性能,尤其是对磁性能起关键的作用。因此,全尺度分布考察夹杂物对无取向硅钢夹杂物的研究极为重要。本实验确定了适用于不同牌号无取向硅钢夹杂物全尺度分布的分析方法:样品制备—小样电解—过滤喷金—根据不同牌号的要求选择合适的放大倍率扫描观测—夹杂物颗粒的分类统计。通过统计的结果,结合电解的失重量可以得到不同尺度的体积分布数据。实验分析了不同牌号和工艺无取向硅钢夹杂物的种类、形貌、大小和尺度分布,并初步考查了夹杂物与磁性能的关系,对无取向硅钢的工艺研究具有一定参考价值。 Inclusions in non-oriented silica steel could inhibit the growth of grain and cause discontinuity of micro-structure.The configuration,content and size distribution of inclusion have different effects on the performance of silica steel,especially significant on the magnetic property.Therefore,it is very useful to completely characterize inclusions with full size distribution in silica steel.In our research,full size analysis method for inclusion in silica steel had been established as follows: s...
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...

