硅钢资料

对取向硅钢熔融态钢液进行处理,对比研究了不同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,凝固组织等轴晶比例大幅上升。在脉冲电容、频率、处理时间和电压中,影响等轴晶比例的最显著性因素为脉冲频率;最优正交实验参数为: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,通过经典形核理论和热力学对这一现象进行了解释。 Research on the influence of the electric pulse on the solidification structure of oriented silicon steel was preformed.Electric pulses in different parameters were applied to molten steel and results were compared.The result shows that solidification structure of oriented silicon steel can be improved by the electric pulse,and the equiaxed crystal ratio increases obviously.Among the four parameter factors of electric capacity,frequency,applied time and voltage,the most effective factor is frequ... 

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... 

阐述了影响硅钢卷材下料利用率的因素,并结合具体事例利用计算机排样系统进行了详细分析,对提高硅钢卷材的利用率具有一定的指导作用。 It describes the factors influenceing the the utilization ratio of the roll of Silicon steel,and analyzes it in detail combined with concrete examples by a computer arrangement system,which can give a guide for increasing the utilization ratio of the roll of Silicon steel. 

为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...