阅读说明：本技术 一种提高LF精炼钢水Mn成分精度的方法 (Method for improving Mn component precision of LF refined molten steel ) 是由 黄汝铿 喻林 郭振宇 章小东 于 2020-12-07 设计创作，主要内容包括：本发明提供了一种提高LF精炼钢水Mn成分精度的方法,包括以下步骤：A)根据大数据分析建立模型,并根据模型进行计算以确定LF钢水中Mn成分初始值w；B)以所述Mn成分初始值w、Mn目标值为基础,根据数据统计以及模型建立,确定需要加入的合金种类以及加入量。本发明通过运用合金加入模型运用,解决了LF精炼钢水Mn成分精度低的问题,经生产实绩统计LF精炼钢水Mn成分精度(目标值±0.03％)合格率由60％提高至93％,同时降低低了生产成本。(The invention provides a method for improving the accuracy of Mn components in LF refined molten steel, which comprises the following steps: A) establishing a model according to big data analysis, and calculating according to the model to determine an initial value w of the Mn component in the LF molten steel; B) and determining the type and the addition amount of the alloy to be added based on the initial value w of the Mn component and the target value of Mn according to data statistics and model establishment. The method solves the problem of low Mn component precision of the LF refined molten steel by applying an alloy adding model, improves the qualification rate of the Mn component precision (target value +/-0.03%) of the LF refined molten steel from 60% to 93% through production performance statistics, and reduces the production cost.)

1. A method for improving the accuracy of Mn components in LF refined molten steel comprises the following steps:

A) establishing a model according to big data analysis, and calculating according to the model to determine an initial value w of the Mn component in the LF molten steel;

B) and determining the type and the addition amount of the alloy to be added based on the initial value w of the Mn component and the target value of Mn according to data statistics and model establishment.

2. The method of claim 1Characterized in that, in step A), the basis of the model is determined as the initial theoretical value w of Mn component in LF molten steel₁And the test value w of the initial Mn component in LF molten steel₂The size of (2).

3. The method according to claim 2, characterized in that the model is in particular:

(A1) when w is₁﹥w₂When the current is over;

A11)w₁-w₂deviation is 0.00-0.03%: w ═ w (w)₁+w₂)/2；

A12)w₁-w₂Deviation is 0.03-0.07%:

A121)w₂≥w_{middle limit of 0}No alloy is added;

A122)w_{lower limit value of 0}≤w₂≤w_{Middle limit of 0}When in use, no alloy is added;

A123)w₂<w_{lower limit value of 0}And w₁≤w_{Middle limit of 0}，w＝(w₁+w₂)/2；

A124)w₂<w_{Lower limit value of 0}And w₁>w_{Middle limit of 0}No alloy is added;

A13)w₁-w₂deviation greater than 0.07%, resampling to obtain w₂A new value;

wherein, w₀The steel grade is the judgment range of Mn;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

w₂the test value of the initial Mn component in the LF molten steel is shown.

4. The method according to claim 2 or 3, characterized in that the model is in particular:

(A2) when w is₁≤w₂When the current is over;

A21)|w₁-w₂the | deviation is 0.00-0.03%: w ═ w₂；

A22)|w₁-w₂The | deviation is 0.03-0.07%:

A221)w₂≤w_{lower limit value of 0}，w＝w₂+0.02％；

A222)w_{Lower limit value of 0}<w₂≤w_{Middle limit of 0}When and (w)_{Middle limit of 0}-w₁+w_{Middle limit of 0})>w0_{Upper limit value}，w＝w₂+w_{Upper limit value of 0}-w_{Middle limit of 0}；

A223)w_{Lower limit value of 0}<w₂≤w_{Middle limit of 0}When and (w)_{Middle limit of 0}-w₁+w_{Middle limit of 0})≤w_{Upper limit value of 0}，w＝w₁；

A224)w₂>w_{Middle limit of 0}And w is₁≥w_{Lower limit value of 0}No alloy is added;

A225)w₂>w_{middle limit of 0}And w is₁<w_{Lower limit value of 0}，w＝w₁-w_{Middle limit of 0}+w_{Lower limit value of 0}；

A23)|w₁-w₂The deviation is more than 0.07%, and w is obtained by resampling₂A new value;

wherein, w₀The steel grade is the judgment range of Mn;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

w₂the test value of Mn component in LF molten steel is shown.

5. The method according to claim 1, wherein in step B), the model is established based on the influence of C and P elements in the alloy on the composition of the molten steel.

6. The method as claimed in claim 5, wherein in step B), the model is established based on the influence of C element in the alloy on the composition of molten steel.

7. The method according to claim 6, wherein the model is established by:

B1) when C is present_{First stage}≥C_{Lower limit of steel judgment}Selecting medium carbon ferromanganese or metal manganese, calculating the addition amount m of the manganese alloy,P_{manganese content of alloy}The content of manganese metal or medium carbon manganese iron manganese;

B2) When C is present_{First stage}≤C_{Lower limit of steel judgment}Selecting high-carbon ferromanganese, calculating the addition M of the high-carbon ferromanganese,then checking and calculating:

B21) if C_{First stage}+C_X≤C_{Lower limit of steel judgment}Selecting high-carbon ferromanganese, calculating the addition amount M,

B22) if C_{First stage}+C_X≤C_{Judgment of middle limit of steel}Selecting high-carbon ferromanganese, calculating the addition amount M,

B23) if C_{First stage}+C_X≥C_{Upper limit of steel judgment}The alloy calculation rule is as follows by selecting high-carbon ferromanganese and metal manganese to match: let C_Increase＝C_{Lower limit of steel judgment}-C_{First stage}；

High carbon ferromanganese addition

Addition of manganese metal

Wherein, C_{First stage}The test value of the initial C component in the LF molten steel is obtained;

H_{content of alloy C}Is the C content in the alloy;

J_{high carbon manganese iron manganese content}High carbon manganese iron manganese content, Q_{Manganese content of metal}The content of manganese metal is;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

the yield is 93% for C.

Technical Field

The invention relates to the technical field of molten steel refining, in particular to a method for improving MN component precision of LF refined molten steel.

Background

At present, the LF refined molten steel component precision control usually adopts molten steel initial component assay, and then alloying is carried out according to the assay initial value, the method can cause the deviation of molten steel sampling components because molten steel is not refined and sampling, meanwhile, the deviation of molten steel terminal point components and target values is larger because impurity elements in the alloy are mutually influenced and a process analysis system and a terminal point analysis system have system deviation, so that the molten steel component precision is lower and the production cost is increased.

Disclosure of Invention

The invention aims to provide a method for realizing accurate control of LF refined molten steel components, so as to obtain accurate molten steel component accurate values when molten steel is not refined, and further avoid the problem of low end point component accuracy caused by inaccurate initial values.

In view of the above, the present application provides a method for improving the accuracy of Mn content in LF-refined molten steel, comprising the steps of:

A) establishing a model according to big data analysis, and calculating according to the model to determine an initial value w of the Mn component in the LF molten steel;

B) and determining the type and the addition amount of the alloy to be added based on the initial value w of the Mn component and the target value of Mn according to data statistics and model establishment.

Preferably, in step A), the model is determined based on an initial theoretical value w of Mn component in LF molten steel₁And the test value w of the initial Mn component in LF molten steel₂The size of (2).

Preferably, the model specifically comprises:

(A1) when w is₁﹥w₂When the current is over;

A11)w₁-w₂deviation is 0.00-0.03%: w ═ w (w)₁+w₂)/2；

A12)w₁-w₂Deviation is 0.03-0.07%:

A121)w₂≥w_{middle limit of 0}No alloy is added;

A122)w_{lower limit value of 0}≤w₂≤w_{Middle limit of 0}When in use, no alloy is added;

A123)w₂<w_{lower limit value of 0}And w₁≤w_{Middle limit of 0}，w＝(w₁+w₂)/2；

A124)w₂<w_{Lower limit value of 0}And w₁>w_{Middle limit of 0}No alloy is added;

A13)w₁-w₂deviation greater than 0.07%, resampling to obtain w₂A new value;

wherein, w₀The steel grade is the judgment range of Mn;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

w₂the test value of the initial Mn component in the LF molten steel is shown.

Preferably, the model specifically comprises:

(A2) when w is₁≤w₂When the current is over;

A21)|w₁-w₂the | deviation is 0.00-0.03%: w ═ w₂；

A22)|w₁-w₂The | deviation is 0.03-0.07%:

A221)w₂≤w_{lower limit value of 0}，w＝w₂+0.02％；

A222)w_{Lower limit value of 0}<w₂≤w_{Middle limit of 0}When and (w)_{Middle limit of 0}-w₁+w_{Middle limit of 0})>w0_{Upper limit value}，w＝w₂+w_{Upper limit value of 0}-w_{Middle limit of 0}；

A223)w_{Lower limit value of 0}<w₂≤w_{Middle limit of 0}When and (w)_{Middle limit of 0}-w₁+w_{Middle limit of 0})≤w_{Upper limit value of 0}，w＝w₁；

A224)w₂>w_{Middle limit of 0}And w is₁≥w_{Lower limit of 0Value of}No alloy is added;

A225)w₂>w_{middle limit of 0}And w is₁<w_{Lower limit value of 0}，w＝w₁-w_{Middle limit of 0}+w_{Lower limit value of 0}；

A23)|w₁-w₂The deviation is more than 0.07%, and w is obtained by resampling₂A new value;

wherein, w₀The steel grade is the judgment range of Mn;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

w₂the test value of Mn component in LF molten steel is shown.

Preferably, in the step B), the model is established based on the influence of C and P elements in the alloy on the composition of molten steel.

Preferably, in the step B), the model is established based on the influence of the C element in the alloy on the composition of the molten steel.

Preferably, the establishment of the model specifically comprises:

B1) when C is present_{First stage}≥C_{Lower limit of steel judgment}Selecting medium carbon ferromanganese or metal manganese, calculating the addition amount m of the manganese alloy,P_{manganese content of alloy}The content of manganese metal or medium carbon manganese iron manganese;

B2) when C is present_{First stage}≤C_{Lower limit of steel judgment}Selecting high-carbon ferromanganese, calculating the addition M of the high-carbon ferromanganese,then checking and calculating:

B21) if C_{First stage}+C_X≤C_{Lower limit of steel judgment}Selecting high-carbon ferromanganese, calculating the addition amount M,

B22) if C_{First stage}+C_X≤C_{Judgment of middle limit of steel}Selecting high-carbon ferromanganese, calculating the addition amount M,

B23) if C_{First stage}+C_X≥C_{Upper limit of steel judgment}The alloy calculation rule is as follows by selecting high-carbon ferromanganese and metal manganese to match: let C_Increase＝C_{Lower limit of steel judgment}-C_{First stage}；

High carbon ferromanganese addition

Addition of manganese metal

Wherein, C_{First stage}The test value of the initial C component in the LF molten steel is obtained;

H_{content of alloy C}Is the C content in the alloy;

J_{high carbon manganese iron manganese content}High carbon manganese iron manganese content, Q_{Manganese content of metal}The content of manganese metal is;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

the yield is 93% for C.

The application provides a method for improving the accuracy of Mn components in LF refined molten steel, which comprises the following steps: A) establishing a model according to big data analysis, and calculating according to the model to determine an initial value w of the Mn component in the LF molten steel; B) and according to the initial value w of the Mn component and the target value of Mn, establishing and determining the type and the addition amount of the alloy to be added according to data statistics and a model. The method applies model judgment to calculate accurate initial values of molten steel components, considers the mutual influence of impurity elements in the alloy, and calculates the types and the addition amount of the economic alloy; the method solves the problem of low Mn component precision of the LF refined molten steel by applying an alloy adding model, improves the qualification rate of the Mn component precision (target value +/-0.03%) of the LF refined molten steel from 60% to 93% through production performance statistics, and reduces the production cost.

Detailed Description

For a further understanding of the invention, reference will now be made to the preferred embodiments of the invention by way of example, and it is to be understood that the description is intended to further illustrate features and advantages of the invention, and not to limit the scope of the claims.

In view of the problem that the deviation of molten steel end point components and target values in the prior art is large, so that the component precision of molten steel is low, the embodiment of the invention discloses a method for improving the component precision of LF refined molten steel Mn. Specifically, the application provides a method for improving the accuracy of Mn components in LF refined molten steel, which comprises the following steps:

A) establishing a model according to big data analysis, and calculating according to the model to determine an initial value w of the Mn component in the LF molten steel;

B) and determining the type and the addition amount of the alloy to be added based on the initial value w of the Mn component and the target value of Mn according to data statistics and model establishment.

Establishing a model according to a tested value and an initial value of a Mn component in molten steel in an LF refining process in the prior art, and calculating according to the model to determine an initial value w of an M component in the LF molten steel; in the process, the determination basis of the model is the initial theoretical value w of Mn component in LF molten steel₁And the test value w of Mn component in LF molten steel₂Size of (2), initial theoretical value w of Mn component in molten steel₁And a compositional assay value w₂Influenced by a plurality of factors in the refining process, on the basis, the model specifically comprises the following components:

(A1) when w is₁﹥w₂When the current is over;

A11)w₁-w₂deviation is 0.00-0.03%: w ═ w (w)₁+w₂)/2；

A12)w₁-w₂Deviation is 0.03-0.07%:

A121)w₂≥w_{middle limit of 0}No alloy is added;

A122)w_{lower limit value of 0}≤w₂≤w_{Middle limit of 0}When in use, no alloy is added;

A123)w₂<w_{lower limit value of 0}And w₁≤w_{Middle limit of 0}，w＝(w₁+w₂)/2；

A124)w₂<w_{Lower limit value of 0}And w₁>w_{Middle limit of 0}No alloy is added;

A13)w₁-w₂deviation greater than 0.07%, resampling to obtain w₂The new value.

Wherein, w₀The steel grade is the judgment range of Mn;

(A2) when w is₁≤w₂When the current is over;

A21)|w₁-w₂the | deviation is 0.00-0.03%: w ═ w₂；

A22)|w₁-w₂The | deviation is 0.03-0.07%:

A221)w₂≤w_{lower limit value of 0}，w＝w₂+0.02％；

A222)w_{Lower limit value of 0}<w₂≤w_{Middle limit of 0}When and (w)_{Middle limit of 0}-w₁+w_{Middle limit of 0})>w0_{Upper limit value}，w＝w₂+w_{Upper limit value of 0}-w_{Middle limit of 0}；

A223)w_{Lower limit value of 0}<w₂≤w_{Middle limit of 0}When and (w)_{Middle limit of 0}-w₁+w_{Middle limit of 0})≤w_{Upper limit value of 0}，w＝w₁；

A224)w₂>w_{Middle limit of 0}And w is₁≥w_{Lower limit value of 0}No alloy is added;

A225)w₂>w_{middle limit of 0}And w is₁<w_{Lower limit value of 0}，w＝w₁-w_{Middle limit of 0}+w_{Lower limit value of 0}；

A23)|w₁-w₂The deviation is more than 0.07%, and w is obtained by resampling₂A new value;

wherein, w₀The steel grade is the judgment range of Mn;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

w₂the test value of Mn component in LF molten steel is shown.

According to the above rule, the initial value w of the Mn component in the LF molten steel is determined, and the value is only the initial value of Mn in the molten steel, and a final target value is required in actual production, so that the type of the alloy steel to be added and the specific addition amount need to be determined according to the initial value, the target value and the influence factors in the refining process. The method specifically determines the type and the addition amount of the alloy to be added based on the initial value w of the Mn component and the target value of Mn according to data statistics and model establishment. The establishment of the model is determined according to the influence of C element and P element in the alloy on the composition of molten steel; in the present application, the influence of the C element in the alloy on the composition of molten steel is mainly determined. The establishment of the model specifically comprises the following steps:

B1) when C is present_{First stage}≥C_{Lower limit of steel judgment}Selecting medium carbon ferromanganese or metal manganese, calculating the addition amount m of the manganese alloy,

B2) when C is present_{First stage}≤C_{Lower limit of steel judgment}Selecting high-carbon ferromanganese, calculating the addition M of the high-carbon ferromanganese,

B21) if C_{First stage}+C_X≤C_{Lower limit of steel judgment}Selecting high-carbon ferromanganese, calculating the addition amount M,

B22) if C_{First stage}+C_X≤C_{Judgment of middle limit of steel}Selecting high-carbon ferromanganese, calculating the addition amount M,

B23) if C_{First stage}+C_X≥C_{Upper limit of steel judgment}The alloy calculation rule is as follows by selecting high-carbon ferromanganese and metal manganese to match: let C_Increase＝C_{Lower limit of steel judgment}-C_{First stage}；

High carbon ferromanganese addition

Addition of manganese metal

Wherein, C_{First stage}The test value of the initial C component in the LF molten steel is obtained;

H_{content of alloy C}Is the C content in the alloy;

J_{high carbon manganese iron manganese content}High carbon manganese iron manganese content, Q_{Manganese content of metal}The content of manganese metal is;

for Mn yield, w₁Is an initial theoretical value of Mn component in LF molten steel, when the median value of Mn range of the steel is less than or equal to 0.80 percent,taking a value of 95 percent; mean value of Mn range of steel bell>When the content of the organic acid is 0.80%,taking a value of 98 percent;

the yield is 93% for C.

In the process, after the selected steel grade is determined by the related rules, the adding amount of the manganese alloy can be calculated according to the Mn judging range of the corresponding steel grade and the calculation rule and the calculation formula. The steel judging range in the application is the composition range of the steel required by customers, and the composition ranges of different steel grades are different.

The invention provides a method for realizing accurate control of LF refined molten steel components, which aims to solve the technical problem that accurate molten steel component accurate values are obtained when molten steel is not refined, so that the problem of low end point component accuracy caused by inaccurate initial values is avoided; therefore, the application provides a method for improving the component precision of LF refined molten steel, which comprises the following steps: 1) determining an initial selection value according to model calculation; 2) and calculating the type and the addition amount of the economic alloy according to the initial selection value and the target value. The method creatively uses model judgment to calculate the accurate initial value of the molten steel components, and simultaneously considers the mutual influence of impurity elements in the alloy to calculate the type and the addition amount of the economic alloy. The method solves the problem of low Mn component precision of the LF refined molten steel by applying an alloy adding model, improves the qualification rate of the Mn component precision (target value +/-0.03%) of the LF refined molten steel from 60% to 93% through production performance statistics, and reduces the production cost.

In order to further understand the present invention, the method for improving the accuracy of Mn content in LF-refined molten steel provided by the present invention is described in detail below with reference to the following examples, and the scope of the present invention is not limited by the following examples.

Example (b):

steel grade: 590DP, Mn judge Steel Range: 1.05-1.15%, and the steel judging range of C is as follows: 0.08-0.10%;

w2＝1.0％；

w1< w2, | w1-w2| -0.01%, then w ═ w2 ═ 1.0%;

C_{first stage}＝0.05％<0.08 percent of high-carbon ferromanganese is selected and added

C_{First stage}+C_X＝0.058％<0.08 percent of high-carbon ferromanganese is selected, and the adding amount M of the high-carbon ferromanganese is 321 Kg.

In practice, 321Kg of high-carbon ferromanganese is added, and the Mn content of the final molten steel is 1.09 percent and is qualified within the range of +/-0.03 percent of the target Mn1.1 percent.

The above description of the embodiments is only intended to facilitate the understanding of the method of the invention and its core idea. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.