论文

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 ... 

通过试验确定氩气分析流量为3.5L/min,静态流量为0.75L/min,冲洗时间为3s,预燃时间为12s,积分时间为5s的激发条件,采用火花源原子发射光谱法测定取向硅钢中碳、硅、锰、磷、硫。分别采用铣床铣样、砂轮磨样两种制样方式进行了精密度考察,发现制样方式对结果影响不大;讨论了取向硅钢样品中碳、硅、锰、磷、硫测定时可能存在的共存元素干扰,发现硅对锰元素的干扰不可忽略,采用干扰系数法进行了校正,据此拟合得到各元素校准曲线的相关系数均在0.999 0以上。精密度考察结果表明,碳、硅、锰、磷、硫的相对标准偏差(n=10)在0.71%~9.4%之间。对两块取向硅钢生产样品进行分析,并与钢铁研究总院进行比对分析,结果一致,且偏差均在允许范围内。 Carbon,silicon,manganese,phosphorus and sulfur in oriented silicon steel were determined by spark source atomic emission spectrometry.The selected excitation conditions were as follows:the analytical flow rate of argon was 3.5L/min,the static flow rate was 0.75L/min,the flush time was3s,the precombustion time was 12sand the integration time was 5s.Two sample preparation methods,including milling machine and grinding wheel,were investigated.The precision test results showed that,the determination... 

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...