CN-117316320-B - Method, device, equipment and medium for determining component mass ratio of alumina inclusion

CN117316320BCN 117316320 BCN117316320 BCN 117316320BCN-117316320-B

Abstract

Embodiments of the present disclosure disclose methods, apparatus, electronics, and media for determining the compositional mass ratio of alumina inclusions. One embodiment of the method comprises the steps of responding to the fact that alumina inclusions are detected in the smelting process of calcium treatment steel, obtaining smelting data, determining the shape factor of the alumina inclusions according to the smelting data, and determining the component mass ratio of the alumina inclusions according to the shape factor and a predetermined component mass ratio prediction formula. According to the embodiment, the shape factors are related to the component mass ratio of the alumina inclusion, so that the efficiency and the effect of a calcium treatment process are effectively improved, the experimental detection cost is reduced, the alumina inclusion is convenient to modify into the spherical inclusion, deformation and crushing cannot occur in the steel processing process, and the plasticity, the toughness and the fatigue resistance of a steel product are improved.

Inventors

ZHANG LIFENG
REN YING
CHEN GUOJUN
YANG WEN
WANG JUJIN

Assignees

北方工业大学
北京科技大学

Dates

Publication Date: 20260512
Application Date: 20230912

Claims (5)

1. A method for determining the component mass ratio of alumina inclusion comprises the following steps: in response to determining that alumina inclusions are detected during smelting of the calcium-treated steel, obtaining smelting data; determining a shape factor of the alumina inclusions from the smelting data; determining the component mass ratio of the alumina inclusion according to the shape factor and a predetermined component mass ratio prediction formula; Wherein the smelting data includes: Shape change data of the alumina inclusions and size change data of the alumina inclusions; the determining the shape factor of the alumina inclusions based on the smelting data comprises: determining a shape factor from the shape change data, the size change data, and the following formula: , wherein OR represents the shape factor of the alumina inclusion, the value range is 0-1, AR represents the length-width ratio of the alumina inclusion, C represents the convexity of the alumina inclusion, and S represents the sphericity of the alumina inclusion; The determining the component mass ratio of the alumina inclusion according to the shape factor and a predetermined component mass ratio prediction formula comprises: Determining the component mass ratio according to the following component mass ratio prediction formula and the shape factor: , Wherein CaO/Al 2 O 3 represents the mass ratio of calcium oxide to aluminum oxide in the alumina inclusion, and R 2 represents the linear correlation degree of the mass ratio of calcium oxide and aluminum oxide in the alumina inclusion particles and the shape factor; The component mass ratio prediction formula is obtained according to the following steps: obtaining sample experimental data modified by calcium oxide inclusion in molten steel, wherein the sample experimental data comprises a sample shape factor and a sample component mass ratio corresponding to the sample shape factor; Fitting the corresponding relation of the sample component mass ratio corresponding to the sample shape factor to obtain a prediction formula to be trained; determining a component mass ratio according to the prediction formula to be trained and the sample shape factor; Comparing the component mass ratio with the sample component mass ratio, and determining a loss value of the component mass ratio prediction formula according to a comparison result; Determining the prediction formula to be trained as a component mass ratio prediction formula in response to the loss value meeting a preset condition; the method further comprises the steps of: And adjusting corresponding parameters in the prediction formula to be trained in response to the loss value not meeting a preset condition.
2. A component mass ratio determining apparatus for alumina inclusion, implementing the method as set forth in claim 1, comprising: An acquisition unit configured to acquire smelting data in response to determining that alumina inclusions are detected in the smelting process of the calcium-treated steel; A first determination unit configured to determine a shape factor of the alumina inclusion from the smelting data; And a second determination unit configured to determine a composition mass ratio of the alumina inclusion according to the shape factor and a predetermined composition mass ratio prediction formula.
3. The apparatus of claim 2, wherein the second determining unit is further configured to: Determining the component mass ratio according to the following component mass ratio prediction formula and the shape factor: , Wherein CaO/Al 2 O 3 represents the mass ratio of calcium oxide to aluminum oxide in the alumina inclusion, and R 2 represents the linear correlation degree of the mass ratio of calcium oxide and aluminum oxide in the alumina inclusion particles and the shape factor.
4. An electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as recited in claim 1.
5. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method as claimed in claim 1.

Description

Method, device, equipment and medium for determining component mass ratio of alumina inclusion Technical Field Embodiments of the present disclosure relate to the field of ferrous metallurgy, and in particular, to a method, apparatus, electronic device, and computer readable medium for determining a composition to mass ratio of alumina inclusions. Background Nonmetallic inclusions in steel exist in the steel as independent phases, and factors such as components, sizes, densities, shapes and the like of the inclusions in the steel have important influences on the mechanical properties and corrosion resistance of the steel. In aluminum deoxidized steel, aluminum oxide inclusion easily causes stress concentration and microcrack in the processing process, and reduces the plasticity, toughness and fatigue resistance of steel products, but spherical inclusion does not deform and break in the processing process of steel. Therefore, in the steelmaking process, the irregular alumina inclusion needs to be modified into the spherical liquid calcium aluminate inclusion by utilizing a calcium treatment process, and in the modification process, the components of the alumina inclusion and the morphology of the alumina inclusion have a certain relationship, so that the research on the components and the morphology change has important research significance. However, since the number of inclusions in the steel is large and the inclusions are easy to collide, it is difficult to observe the composition and morphology changes of the alumina inclusions and the progress of calcium treatment, so that there are many difficulties in modifying the alumina inclusions. Disclosure of Invention The disclosure is in part intended to introduce concepts in a simplified form that are further described below in the detailed description. The disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Some embodiments of the present disclosure propose a method, an apparatus, an electronic device, and a computer-readable medium for determining a composition-to-mass ratio of alumina inclusions to solve the technical problems mentioned in the background section above. In a first aspect, some embodiments of the present disclosure provide a method of determining a composition-to-mass ratio of alumina inclusions, the method comprising, in response to determining that alumina inclusions are detected during smelting of a calcium-treated steel, obtaining smelting data, determining a form factor of the alumina inclusions based on the smelting data, and determining the composition-to-mass ratio of the alumina inclusions based on the form factor and a predetermined composition-to-mass ratio prediction formula. In a second aspect, some embodiments of the present disclosure provide a composition-to-mass ratio determination apparatus of alumina inclusions, the apparatus including an acquisition unit configured to acquire smelting data in response to determining that alumina inclusions are detected in a smelting process of calcium-treated steel, a first determination unit configured to determine a shape factor of the alumina inclusions based on the smelting data, and a second determination unit configured to determine a composition-to-mass ratio of the alumina inclusions based on the shape factor and a predetermined composition-to-mass ratio prediction formula. In a third aspect, an embodiment of the present application provides an electronic device, where the network device includes one or more processors, a storage device configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement a method as described in any one of the implementations of the first aspect. In a fourth aspect, embodiments of the present application provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method as described in any of the implementations of the first aspect. One of the above embodiments of the present disclosure has the advantageous effects that firstly, in response to determining that alumina inclusions are detected during smelting of calcium-treated steel, smelting data is acquired, then, based on the obtained smelting data, a form factor of the alumina inclusions is determined, and then, based on the form factor and a predetermined composition-to-mass ratio prediction formula, a composition-to-mass ratio of the alumina inclusions is determined. Therefore, the shape factors are associated with the component mass ratio of the alumina inclusion, the efficiency and the effect of the calcium treatment process are effectively improved, the cost of experimental detection is reduced, the alumina inclusion is conveniently modified into the spherical inclusion, the deformation and the crushing can