钢厂
电力变压器用高磁感取向硅钢的发展及应用
阐述了国内外高磁感取向硅钢的生产研究水平与发展趋势,包括通过提高高斯晶粒取向度、细化磁畴、涂覆张力涂层、减薄钢片厚度进一步降低铁损以及低温加热技术和短流程技术新工艺。分析高磁感取向硅钢在我国大型电力变压器上的应用情况,结果表明,发展更薄规格高磁感、低铁损、低磁致伸缩取向硅钢可为大型变压器的安全性、节能性及环保性提供有效保障。 The research progress and development trend of high magnetic induction grain-oriented silicon steel at home and abroad are summarized,including the technology of improving the Goss alignment,refining domain wall,adding stress coating,decreasing thickness of sheet,and the new technique of reducing heating temperature of casting slab and shortening operational.Moreover,the application of high magnetic induction grain-oriented silicon in power transformer is presented.Developing grain-oriented sili...
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...
硅钢连续退火生产线设备改造
针对硅钢连续生产线设备存在的故障、隐患以及精度等影响产品质量的问题进行分析及改造,实现保证生产线设备稳定运行、提高设备精度及硅钢产品质量的目的。 This paper analyzes and transforms the electrical equipment failures, risks existed in slicon continuous production line, and the effect of accuracy to product quality, in order to ensure stable operation of equipment in production line and improve the accuracy of device, quality of silicon.
大压下率冷轧无取向硅钢织构演变及性能
组织和织构是影响无取向硅钢性能的重要因素。为改善产品性能,研究了冷轧压下率(71.7%~87.0%)对高牌号无取向硅钢组织、织构、磁性能和力学性能的影响。结果表明,随冷轧压下率的增加,退火晶粒平均尺寸先减小后增大;高斯和立方织构强度减弱,γ纤维织构增强,α纤维织构转变为较强的α*({h, 1, 1}〈1/h, 1, 2〉)织构,并随冷轧压下率的增加而增强,同时其峰值逐渐向{111}面移动;工频铁损P1.5/50、高频铁损P1.0/400和磁极化强度J5000同时降低,屈服强度变化不大,表面硬度逐渐增加。当冷轧压下率由84.7%增至87.0%、厚度减至0.30 mm时,高频铁损降幅是工频铁损的11倍,表面硬度增幅变大。以上研究成果对硅钢减薄后织构及组织的优化提供了很好的指导。 Microstructure and texture are critical factors on non-oriented silicon steel properties. In order to improve product properties, this paper studied the effect of cold rolling reduction rate(71.7%-87.0%) on microstructure, texture, magnetic properties and mechanical properties of high-grade non-oriented silicon steel. The results show that with the increase of cold rolling reduction rate, the average size of annealing grain decreases first and then increases. The intensity of Goss and λ fiber te...
锰含量对无取向电工钢组织性能的影响
研究了锰含量对w(Si)=1.8%Si无取向电工钢组织和性能的影响。结果表明,钢中锰含量从0.3%增加到1.2%时,由于α_γ相变的产生,铸坯低倍组织、热轧板金相组织及成品织构等均发生了不同程度的变化,对成品表面质量及磁性能产生了明显的影响。 The effects of manganese content on structure and properties of w(Si)=1.8% non-oriented electrical steels have been studied.Results show that with increasing manganese content to 1.2% from 0.3%,macrostructure of continuous casting slab,hot rolled band metallurgical structure and finished product texture vary in some extent because of the occurrence of α-γ phase transformation,the surface quality and magnetic properties of finished product are affected greatly.
硅钢轧制过程中乳化液流量数学模型研究及应用
目前高磁感冷轧硅钢生产过程中,采用经验方法确定的乳化液流量设定值往往会造成硅钢产品的磁感性能达不到预期目标,针对此情况,基于轧机轧制机理研究了的乳化液流量数学模型,确定了乳化液流量设定值。实践表明,使用该数学模型输出的乳化液流量设定值,可提高轧制过程中乳化液流量控制精度,从而提高高磁感冷轧硅钢的轧制性能。 In view of the current production process of high magnetically inductive cold-rolled silicon steel, the mathematical model of emulsified fluid flow based on mill rolling mechanism is studied in view of the situation in which the magnetic sensing performance of silicon steel products is often not up to the expected target by using empirical method to determine the emulsified liquid flow setting. Practice shows that the emulsified fluid flow setting value output from this mathematical model improv...
Al含量对2.2%Si无取向硅钢组织、织构和磁性能的影响
通过实验室25 kg真空感应炉冶炼和锻轧研究了0.26%~0.95%Al含量对0.5 mm 2.2%Si无取向硅钢冷轧板组织、织构和磁性能的影响。试验结果表明,0.26%~0.81%Al含量时,随钢中Al含量的增加,成品退火钢板的晶粒尺寸增加同时铁损减少;当Al含量大于0.81%时,随Al含量增加,钢板的晶粒尺寸减小,同时铁损增加。Al含量对硅钢板磁感的影响没有明显的规律。2.2%Si无取向硅钢的合适Al含量为0.48%~0.81%。 The effect of 0.26%~0.95%Al content on structure,texture and magnetic performance of 0.5 mm cold rolled sheet of 2.2%Si non-oriented silicon steel has been studied by a 25 kg vacuum induction furnace smelting,and forging -rolling in laboratory.Results show that as 0.26%~0.81%Al,with increasing Al content in steel the grain size of annealed finished sheet increases while iron loss of sheet decreases,and as Al content in steel is more than 0.81%,the grain size of sheet decreases while iron loss in...
提高热轧硅钢凸度精度的工艺措施
以太钢热连轧厂的硅钢为研究对象,利用凸度仪测量热轧带钢出口凸度值,采用矩阵和失效模式的分析方法了解影响带钢凸度变化的主次因素。研究结果表明:通过有效控制轧制过程中的加热温度、时间及采用合理的辊型,硅钢凸度精度提高了4.34%左右。 In this paper,we take the hot-rolled silicon steelsheet of Taigang as the research symbol,exit profile was measured by convex instrument,the primary and secondary factors that affect the strip profile were measured by using matrix and failure mode analysis methed.The results indicate that convexity accuracy has significantly improved by nearly 4.34% through the effective control of the heating temperature,heating time and the use of correct roller type in the process of hot rolling.
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.