硅钢资料

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... 

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. 

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. 

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P_1.5/50、高频铁损P_1.0/400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... 

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. 

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...