Principal component regression analysis on the size and quantity of inclusions affecting magnetic properties of non-oriented silicon steelChinese Full Text

WANG Bao-ming;ZHAO Zhi-yi;CHEN Ling-feng;HUANG Sai;LUO Wen-bin;ZHENG Pan-feng;School of Materials Science and Engineering,University of Science and Technology Beijing;Cold Rolling Department,Shougang Qian’an Iron ＆ Steel Co.,Ltd.;

Abstract: 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 quantity of each size intervals of inclusions on magnetic properties of non-oriented silicon steel were comprehensively analyzed.The results show that the main factors can be extracted by principal component regression from multi-factors such as the total number of inclusions and the quantity of each size intervals of inclusions,which used to quantitatively research the influence on magnetic properties.It is indicated that the inclusions which significantly affect the core loss of non-oriented silicon steel are AlN,AlN+MnS,MnS,Al2O3,AlN+Al2O3and the size interval is 100to500 nm,and the inclusions in the range of 100 to 200nm reduce the magnetic induction greatly.

Keywords：

non-oriented silicon steel; principal component regression analysis; inclusions; core loss; magnetic induction;

DOI：
10.13228/j.issn.1000-7571.2014.10.001
Series：
Subject：
Classification Code：
TM27

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Principal component regression analysis on the size and quantity of inclusions affecting magnetic properties of non-oriented silicon steelChinese Full Text

WANG Bao-ming;ZHAO Zhi-yi;CHEN Ling-feng;HUANG Sai;LUO Wen-bin;ZHENG Pan-feng;School of Materials Science and Engineering,University of Science and Technology Beijing;Cold Rolling Department,Shougang Qian’an Iron ＆ Steel Co.,Ltd.;

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