钢厂
Fe-6.5%Si高硅钢铁芯与Epstein Square标准单片铁损检测结果对比及数据差异分析
作为一种具有优异高频铁磁性能的合金,Fe-6.5%Si(质量分数)高硅钢在高频工况条件下降损效果明显,对电气行业应用器件高频化、小型化、节能等具有十分重要的意义。通过与取向硅钢测量B-P数据对比,验证了高硅钢高频超低损特性,且轧制高硅钢与日本CVD法生产高硅钢存在基本相同的铁损值。采用国标Epstein Square法对0.30mm高硅钢薄板进行单片测试,并对由0.30mm高硅钢薄板首次装配成的电感器进行铁损测试,对比测试结果表明,元件测试与单片测试数据基本吻合,高磁感应强度条件下,元件测试结果略低于单片测试,分析原因为:线圈引起励磁压降;元件叠片间出现短路,电流增大,损耗增加;气隙板厚度过大。 As one core material with excellent high-frequency ferromagnetism,Fe-6.5%Si performs obviously reduction on core loss in high field frequency which means much to high frequency,minimization,energy conservation in electric industry.Super low loss was verified by drawing B-P curves based on detected experimental data,and which went equal to Fe-6.5%Si thin strip fabricated by CVD in Japan.Fe-6.5%Si was firstly fabricated as inductor in this research,and its core loss was determined for comparison w...
退火温度对无取向电工钢磁晶各向异性能的影响
采用取向分布函数分析了无取向电工钢不同再结晶退火温度下的织构变化及织构对磁感应强度和铁损的影响,并计算了无取向电工钢的磁晶各向异性能。结果表明,随着实验钢的再结晶退火温度升高,Goss织构和立方织构组分显著增强,而{111}面织构强度却减弱。较高的退火温度有利于减小织构因子,提高磁感应强度。磁晶各向异性能计算结果显示,随着再结晶退火温度升高,无取向电工钢板的磁晶各向异性能降低。 The recrystallization texture and the relationship of texture to magnetic induction intensity and core loss of a non-oriented electrical steel were investigated by orientation distribution function analysis. The magnetic anisotropy energy of the steel was calculated also. The results show that,the intensity of Goss texture and cubic texture increases,but the intensity of { 111} texture decreases with increasing recrystallization annealing temperatures of the steel. The higher annealing temperatu...
抑制剂成分对取向硅钢夹杂物析出及磁性能的影响
利用FE-SEM、EDS分析了含不同抑制剂成分的成品取向硅钢中夹杂物的组成和形貌,统计其尺寸及数量分布;结合对磁性能测试的结果,分析了Sn、Cu、Nb和Cr对取向硅钢磁性能影响的机理。结果表明:含Sn的取向硅钢试样中夹杂物主要为块状的微米级Al-Ti-C-N-O复合物,还有少量的球形Al-N-O颗粒和块状Ti-C-N-O颗粒,棒状夹杂物较少;含Cr的取向硅钢试样中夹杂物主要为球形的微米级Al2O3,还有少量Cu-Al-N-O-S复合物,棒状夹杂物和不规则夹杂物均较少;含Cr试样中1~3μm夹杂物的平均尺寸较含Sn试样小,但数量多,而大于3μm夹杂物的平均尺寸较含Sn试样大,但数量很少。磁性能测试结果表明,外场为800A/m和2500A/m时,含Cr试样磁感应强度偏低,铁损值P1.7/50较含Sn试样高,为1.171W/kg。 The composition and morphology of inclusions in the finished grain-oriented silicon steels are analyzed by using FE-SEM and EDS, and the number density and size distribution of the inclusions are counted. The influence mechanism of Sn, Cu, Nb, and Cr on the magnetic properties of the steel is also discussed. Results show that the inclusions composition in the grain-oriented silicon steel samples containing Sn is mainly block Al-Ti-C-N-O, compounding with a few spherical Al-N-O and block Ti-C-N-O...

