Method for analyzing influence of impurities on magnetic performance of non-oriented silicon steel based on principal component regression analysis

Abstract

The invention discloses a method for analyzing the influence of impurities on the magnetic performance of non-oriented silicon steel based on principal component regression analysis. The method comprises the steps that the number of the impurities in different dimensional sections in the non-oriented silicon steel is counted; all data are standardized; impurity statistical data are subjected to dimensionality reduction; a characteristic value is calculated, and the number of principal components and a principal component expression are determined; regression analysis is conducted, and a regression equation and an independent variable are subjected to a significance test; an inverse operation of the standard deviation standardization method is used for converting the regression equation into a multi-element linear relation between the number of the impurities in all the different dimensional sections, the total number of the impurities and the magnetic performance of the non-oriented silicon steel. By means of the method for analyzing the influence of the impurities on the magnetic performance of the non-oriented silicon steel based on principal component regression analysis, complicated variables can be involved in the operation with the same weight, influence caused by correlation between the variables is eliminated, the influence of the impurities on the magnetic performance of the non-oriented silicon steel is analyzed quantitatively, the dimensional sections of the impurities which affect the magnetic performance of the non-oriented silicon steel significantly can be distinguished visually, and directional guide is provided for actual production of electrical steel products with higher magnetic induction and low iron loss.

Description

technical field [0001] The invention relates to the technical field of controlling the properties of non-oriented silicon steel, in particular to an analysis method based on principal component regression analysis of the influence of inclusions on the magnetic properties of non-oriented silicon steel. Background technique [0002] In recent years, with the continuous progress of electric power, electronics and military industries, products in various fields such as electromechanical industry, electric power industry and instrumentation industry are developing in the direction of high efficiency, high precision and miniaturization, while cold-rolled non-oriented silicon steel As an important soft magnetic material widely used in the manufacture of motors, generators, current stabilizers, etc., it is required to have excellent magnetic properties of low iron loss and high magnetic induction, so as to reduce the weight of products in the electromechanical and telecommunications ...

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Problems solved by technology

[0004] At present, there have been a lot of research on the statistical analysis of inclusions in non-oriented silicon steel at home and abroad, but only qualitative statistical analysis of the impact of inclusions of different sizes on the magnetic properties of non-oriented silicon steel, and a preliminary examination of the relationship between inclusions and magnetic properties , failed to find out the relationship between the magnetic properties of non-oriented silicon steel and the inclusions in each size range from a quantitative point of view, and it is difficult to determine the size range of inclusions that significantly affect the magnetic properties, and domestic and foreign studies on the use of mathematical methods to establish the relationship between the magnetic properties of non-oriented silicon steel and multiple There are few studies on the relationship between inclusions in the size range

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