硅钢资料

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. 

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... 

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. 

试验2.3Si无取向硅钢(/%:0.003C,2.30Si,0.16Mn,≤0.020P,≤0.005S,0.54Al)冷轧板由常化和未常化的2.5 mm热轧板冷轧至0.6 mm(压下率76%),经750~950℃2.5 min中间退火后再冷轧至0.5 mm(压下率16.7%),成品板经890℃+960℃2.5 min退火。研究了中间退火温度对该钢晶粒尺寸、织构和磁性能的影响。结果表明,随中间退火温度的升高,二次冷轧前晶粒和成品晶粒增大,成品中不利织构组分{111}和{112}减弱,磁性能得到改善。热轧板经过常化时的磁性能明显好于未经常化时的磁性能,但中间退火温度较高时常化对磁性能的有利作用减弱。 The test cold sheet of 2.3Si non-oriented silicon steel(/%:0.003C,2.30Si,0.16Mn,≤0.020P,≤0.005S,0.54Al) is first cold-rolled from normalized and un-normalizing 2.5 mm hot-rolled plate to 0.6 mm sheet(reduction 76%),then intermediate annealed at 750~950℃ for 2.5 min and double cold-rolled to 0.5 mm sheet(reduction16.7%),the finished sheet annealed at 890℃+960℃ for 2.5 min.Effect of the intermediate annealing temperature on grain size,texture and magnetic performance of the steel has been studied.... 

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... 

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...