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

A principal component regression, oriented silicon steel technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve rare problems and achieve the effect of simplifying the structure

Active Publication Date: 2014-03-26
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0003] At present, there have been a large number of researches on the influence of texture on the magnetic properties of non-oriented silicon steel at home and abroad, but they have only qualitatively examined the relationship between different texture components and magnetic properties from the aspects of mechanism and texture content statistics. Describe the relationship between the magnetic properties of non-oriented silicon steel and different texture components from a quantitative point of view, and there are few domestic and foreign studies on the establishment of mathematical models to analyze the influence of different texture components on the magnetic properties of non-oriented silicon steel

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

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the embodiments and accompanying drawings.

[0036] The embodiment adopts the non-oriented silicon steel product test samples provided by a steel factory after continuous casting, hot rolling (2.6mm thick), cold rolling (0.5mm thick), continuous annealing and surface coating, and selects 10 groups of magnetic properties. Different samples were studied, and the magnetic properties of each group of samples are shown in Table 2.

[0037] The magnetic property of table 2 embodiment sample

[0038]

[0039] Use the EBSD system of ZEISS ULTRA55 field emission scanning electron microscope and Channel5 orientation analysis software to measure the different texture content of the sample. The step length is selected as 2.5-5 μm, preferably 2.5 μm, and the content of each texture is calculated statistically, among which the beneficial texture components mainly count {100} surface texture, {110} Goss text...

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Abstract

The invention relates to a method for analyzing the influence of a texture on the magnetic performance of non-oriented silicon steel based on principal component regression analysis. The method comprises the following steps that the content of a beneficial texture component and the content of a harmful texture component in the non-oriented silicon steel are measured; standardization is conducted on all data; dimension reduction processing is conducted on the data with different texture contents; an eigen value is calculated, a principal component is determined, and an expression of the principal component is determined; regression analysis is conducted and a significance test is conducted on a regression equation; the regression equation is converted into a multi-component linear relation between the different texture component contents and the magnetic performance of the non-oriented silicon steel through the inverse operation of the standard deviation standardization method. By the adoption of the method for analyzing the influence of the texture on the magnetic performance of the non-oriented silicon steel based on principal component regression analysis, a multivariable problem can be effectively analyzed, information represented by original variables can be reflected more intensively and more typically, the influence of the correlation between the variables is eliminated, the rule of the influence of the different texture component contents on the performance of the non-oriented silicon steel is revealed in the quantitative aspect, guidance is provided for actual production, and therefore the optimization of the production technology and the improvement in the production technology of an electrical steel product which is higher in magnetic induction and low in iron loss are achieved.

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 texture on the magnetic properties of non-oriented silicon steel. Background technique [0002] In recent years, as people pay more and more attention to energy saving, consumption reduction and environmental protection, all kinds of motors, generators, compressors and other products are developing in the direction of high efficiency, high precision and miniaturization, so the magnetic properties of non-oriented silicon steel The performance requirements are getting higher and higher, and the excellent magnetic properties of higher magnetic induction and low iron loss are vigorously pursued. Studies have shown that the main factor affecting the magnetic induction of non-oriented silicon steel is texture. Analyzing the influence of different text...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 赵志毅陈凌峰王宝明黄赛郑攀峰薛润东胡小静
Owner UNIV OF SCI & TECH BEIJING
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