Sm3（F3,Co,Mn）29 compounds：promising materials for permanent magnets

The outstanding hard-magnetic properties are reported of Sm_3Fe_{28.1-x}Co_xMo_{0.9} compounds with x=12, 14, 16. In this alloy system, only a small amount of Mo is needed to stabilize the 3:29 structure so that the magnetic properties are not seriously affected by the presence of this nonmagnetic element. Substitution of Co for Fe leads to a significant increase of the magnetic anisotropy, and for x≥14 the easy magnetization direction changes from easy plane to the easy axis. In this alloy system, the compound Sm_3Fe_{12.1}Co_{16}Mo_{0.9} is a very promising candidate for permanent magnet applications. Its room temperature saturation magnetization (μ_0M_s=1.5 T) and anisotropy field (B_{an}=6.5 T) are comparable to the values for Nd_2Fe_{14}B (μ_0M_s=1.6 T and B_{an}=7 T). However, the Curie temperature of Sm_3Fe_{12.1}Co_{16}Mo_{0.9} is 1020 K, which is appreciably higher than that for Nd_2Fe_{14}B (T_C=588 K).     

红外光谱结合化学计量学对朝天椒和涮涮辣的研究

本文利用红外光谱结合主成分(PCA)和偏最小二乘法判别分析(PLS-DA)研究了朝天椒(簇生椒)和涮涮辣。测试了2种辣椒60个样品的红外光谱,对光谱范围1800~950cm-1做二阶导数处理,发现在该区间存在着明显的差异,利用该区间二阶导数光谱数据进行主成分分析和偏最小二乘法,结果表明PCA和PLSDA都能很好的区别两种辣椒,其中主成分的正确率为100%,偏最小二乘法在隐含潜含变量为12个时其正确率最好,朝天椒的正确率为86.7%,涮涮辣的正确率为93.3%。结果表明小波变换结合PCA和PLS-DA用于傅里叶变换红外光谱技术中能够准确地识别朝天椒和涮涮辣,为区分不同品种的辣椒提供快速和有效的方法。