硅钢资料

无取向硅钢的磁性能主要取决于铁素体的晶粒尺寸、晶体织构和钢中的夹杂物。通过合适的化学成分设计以及采用适宜的夹杂物控制技术,可以获得最佳的夹杂物控制效果,使其纯净度大幅度提高或者无害,最终获得磁性能优良的高级别无取向硅钢。同时,为满足节能、环保、高效需求,无取向硅钢正朝着节能降耗、环境友好以及多功能、高效率、易加工等方向发展。 The magnetic properties of non-oriented silicon steel mainly depend on the grain size of ferrite,the crystallographic texture,and the inclusions in the steel.The optimum inclusion control effects can be obtained through a suitable chemical composition design and an appropriate inclusion control technique,and then the liquid steel will get be clean or the inclusion will get be harmless,finally the excellent magnetic property of the non-oriented silicon steel can be obtained.Meanwhile,in order to ... 

研究稀土Ce的添加对含Sn高磁感无取向电工钢磁性能及夹杂物的影响。对比分析了两种成分钢的磁性能以及各过程工艺条件下夹杂物种类和分布情况。结果表明,在含Sn高磁感无取向电工钢中加入稀土元素Ce可以粗化夹杂物,提高成品晶粒的均匀性,有效降低铁损;同时Ce的添加不影响Sn元素提高磁感的效果,磁感保持不变。 Effect of Ce on magnetic properties and inclusion of Sn-bearing high permeability non-oriented electrical steel was investigated. A comparative analysis of the magnetic properties and the types and distributions of inclusion in the two sheets with different composition shows that the addition of Ce to the Sn-bearing high permeability non-oriented electrical steel can coarse the inclusion,improve the homogeneity of the finished grain and effectively decrease the core loss. Also,the addition of Ce... 

采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the...