硅钢资料

为了确定普通冷轧取向硅钢最优的中间完全脱碳退火工艺,在其一次冷轧后进行5种不同工艺的脱碳退火处理,借助扫描电镜及电子背散射衍射技术研究了不同工艺脱碳退火后的组织、织构和脱碳效果。结果表明:经5种工艺脱碳退火处理后,初次再结晶的平均晶粒尺寸均约为19μm,且不随退火温度和时间的变化而变化;经840℃×10min工艺退火后的晶粒最均匀,高斯织构位向更准确,高斯织构面积分数最多,为3.1%,可将碳脱至0.003 5%。 In order to determine the optimal intermediate complete decarburizing annealing processes for common grain-oriented(CGO)silicon steel,five kinds of intermediate decarburizing annealing processes were conducted,the microstructure,texture and decarbonization after different decarburizing annealing processes were studied by scanning electron microscopy and electro back-scattered diffraction(EBSD)technology.The results show that the average grains sizes of primary recrystallization were about 19μm a... 

【作者】 彭志华； ...

【摘要】 <正>日前,宝钢自主研发的新型高磁感取向...

硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re... 

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... 

观察了取向硅钢极薄带经冷轧至不同厚度,并经过不同工艺热处理后的显微组织及亚结构。结果表明:冷轧压下量越大,显微组织中位错密度越高,冷变形组织越多,等轴晶粒越少;增加冷轧压下量可以使试样的再结晶温度降低,当钢带厚度为0.08 mm时,在650℃退火时就能发生明显的再结晶。 Microstructure and substructure of the grain oriented ultra-thin silicon steel sheets is analyzed,which are rolled down to different thickness and treated with different heat treatment process.The result shows that there are higher dislocation density,more cold deformation structure and less equiaxed crystal grain in microstructure of the steel sheets with more cold rolled reduction.Increase of cold rolled reduction will decrease recrystallization temperature,and when thickness of the steel shee... 

研究了退火温度对3.1%Si无取向硅钢组织和磁性能的影响规律。结果表明:退火温度从940℃提高至1 000℃,平均晶粒尺寸由98μm增加到145μm,铁损P_1.5/50从2.576 W/kg降低至2.408W/kg。随着退火温度的升高,γ不利织构组分强度逐渐降低,{111}〈112〉织构组分强度降低约16%,磁感B₅₀逐渐升高,磁性能水平提高。 The effects of annealing temperature on microstructure and texture and magnetic properties of 3.1%Si non-oriented silicon steel were investigated in this paper.The results showed that,when the annealing temperature increased from 940℃ to 1 000℃,the average grain size of metallographic structure increased from 98μm to 145μm,the iron loss value P_1.5/50 decreased from2.576 W/kg to 2.408 W/kg.And as the annealing temperature increased,the strength of the unfavorable texture componentγgrad... 

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. 

【作者】 陶永根； ...

针对硅钢连续退火机组的主要能源介质消耗现状,对现有生产工艺和设备研究采取机组循环用水、增加清洗段漂洗级数等措施可节约大概27 m3/h的过滤水量,并可减少78%的弱碱处理量;将炉子烟气换热系统增加一级余热回收,每年回收的余热相当于583 t标煤消耗,可节约蒸汽5 368 t。 The present situation of energy consumption for silicon steel annealing line is analyzed in this paper.In existing process and equipment conditions,increasing the number of cleaning series will lead to a saving of about 27 m3/h of filter water and reduce 78 % of weak base processing volume.For the flue gas heat-exchange system,adding a waste heat recovery device will recover waste heat equivalent to 583 tons of standard coal per year,corresponding to a saving of steam 5 368 t per year. 

研究了常化对CSP流程生产的wSi=1.6%的无取向电工钢组织、织构和成品磁性能的影响。结果表明,经CSP流程生产,且在相同的冷轧及退火制度下,经1 000℃×2min常化处理的wSi=1.6%的无取向电工钢热轧板,其最终退火成品的铁损P15/50比不常化试样下降了10.5%,磁感B50比不常化试样提高了2.5%;常化使wSi=1.6%的无取向电工钢成品的平均晶粒尺寸增大,成品铁损P15/50相应减小;同时,常化使wSi=1.6%的无取向电工钢成品中高斯织构的强度增加,γ纤维织构的强度减弱,这有利于成品磁感B50的提高。 The effect of normalizing on microstructure,texture and magnetic properties of non-oriented electrical steel with wSi=1.6% produced by CSP process was investigated.The results show that,under the same cold rolling and annealing system,the iron loss(P15/50) of annealed samples whose hot bands has been normalized by 1 000 ℃×2 min process decreases by 10.5% and magnetic induction(B50) increases by 2.5% compared with the samples whose hot bands was not normalized.The average grain size of non-orient... 

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...