CN106844831B - Method for optimizing IF steel smelting parameters and reducing cold rolling inclusion defects - Google Patents
Method for optimizing IF steel smelting parameters and reducing cold rolling inclusion defects Download PDFInfo
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Abstract
The invention relates to a method for optimizing IF steel smelting parameters and reducing cold rolling inclusion defects, and belongs to the field of ferrous metallurgy smelting production. The technical scheme is as follows: collecting production data from a converter to cold rolling, and correlating the collected data to enable the inclusion defect conditions recorded in the cold rolling and hot rolling production processes to correspond to the heat data in the smelting process; obtaining the influence condition of the key parameters in smelting on the inclusion defect of the rolled stock and the mutual relation of the smelting parameters, and finding out the key factors which have larger influence on the inclusion defect of the rolled stock; and the improvement of the process parameters is provided according to key factors, so that the occurrence proportion of the inclusion defects in the rolled stock is effectively reduced. The invention has the beneficial effects that: the improvement of the process parameters is provided according to key factors, so that the occurrence proportion of the inclusion defects in the rolled stock is effectively reduced, and a basis is provided for the self-diagnosis smelting process of the steel enterprise to reduce the cold rolling inclusion defects.
Description
Technical Field
The invention relates to a method for optimizing IF steel smelting parameters and reducing cold rolling inclusion defects, and belongs to the field of ferrous metallurgy smelting production.
Background
The inclusion defect in the cold-rolled sheet is the cold-rolled defectThe defect type is a common defect type which is also more harmful, particularly, IF steel has extremely high requirements on the surface quality of the cold-rolled sheet, and the inclusion type defects seriously affect the surface quality of the cold-rolled sheet. Research shows that a large amount of inclusion defects in the IF steel cold-rolled sheet are caused by alumina inclusions, which are caused by unremoved inclusions left in molten steel in the smelting process. For the reduction of Al in molten steel at present2O3The effective inclusion method is to find out a specific procedure for limiting the cleanliness of molten steel and optimize smelting process parameters by sampling analysis and a test method, and the method has the advantages of higher cost and long test period and is not directly and effectively linked with the defects of cold rolling inclusion.
Disclosure of Invention
The invention aims to provide a method for optimizing smelting parameters so as to reduce inclusion defects of cold-rolled plates, find out important parameters influencing the inclusion defects in the smelting process, optimize the smelting parameters, reduce the content of inclusions in molten steel, reduce the probability of the inclusion defects in the cold-rolled plates, provide a basis for self-diagnosis of the smelting process of iron and steel enterprises to reduce the cold-rolled inclusion defects, and solve the problems in the background technology.
The technical solution of the invention is as follows:
a method for optimizing IF steel smelting parameters and reducing cold rolling inclusion defects comprises the following steps: firstly, collecting production data from a converter to cold rolling, and correlating the collected data to enable the inclusion defect conditions recorded in the cold rolling and hot rolling production processes to correspond to the heat data in the smelting process; then, analyzing the key parameters in the smelting process and the condition of the inclusion defect generated by the subsequent rolled stock by using a statistical analysis method to obtain the influence condition of the key parameters in the smelting on the inclusion defect of the rolled stock and the mutual relation of the smelting parameters, and determining the main factors influencing the inclusion defect of the rolled stock; finding out key factors which have great influence on the defects of the rolled material inclusion; and the improvement of the process parameters is provided according to key factors, so that the occurrence proportion of the inclusion defects in the rolled stock is effectively reduced.
The method comprises the following specific steps:
(1) acquiring data: respectively collecting production data of 6-12 months from a converter, an RH, continuous casting and hot rolling secondary system, wherein the data comprises a production sequence number, a manufacturing order number, a converter end point temperature, a converter end point oxygen level, a temperature after the converter, an RH station entering temperature, an RH station entering oxygen level, an RH station leaving temperature, RH processing time, oxygen blowing amount, a temperature before adding aluminum, an oxygen level before adding aluminum, standing time, a pulling speed and a tundish temperature; finding out the number and the weight of the hot-rolled coil and the cold-rolled coil with the inclusion defects in the hot-rolled and cold-rolled production process of the heat corresponding to the data;
(2) summarizing smelting parameters of each heat according to production sequence numbers and manufacturing command numbers in a converter, RH, continuous casting and hot rolling secondary system, respectively indicating whether inclusion type defects exist in the hot rolling and cold rolling processes by 1 and 0, and counting the total weight W1, W2, W3 and … … of hot rolling and cold rolling coils with inclusion type defects in each heat and the total weight M1, M2, M3 and … … of casting blanks in each heat
(3) Analyzing the relation between each smelting parameter and the inclusion defects in the subsequent rolled stock by using logistic regression analysis and descriptive statistics, analyzing the relation between different smelting parameters and defect indexes in the rolled stock in different intervals, and finding out a parameter interval with lower inclusion defects in the rolled stock, namely a reasonable process parameter control range; and (3) calculating an inclusion defect index:
(4) after the reasonable process parameters are determined, 3 ~ 6 months are produced according to the parameter process, the probability of the inclusion defects in the cold-rolled sheet in the months is counted, the proportion of the inclusion defects of the cold-rolled sheet is reduced, the trend of reducing the inclusion defects of the rolled sheet month by month is seen, and the effect of reducing the inclusion defects of the rolled sheet is achieved.
The invention has the beneficial effects that: finding out key factors which have larger influence on the inclusion defects of the rolled material according to the relationship between the process parameters during the production of the converter, the RH, the continuous casting and the hot rolling and the cold rolling and the inclusion defect index in the rolled material; the improvement of the process parameters is provided according to key factors, so that the occurrence proportion of the inclusion defects in the rolled stock is effectively reduced, and a basis is provided for the self-diagnosis smelting process of the steel enterprise to reduce the cold rolling inclusion defects.
Drawings
FIG. 1 is a graph showing the relationship between the converter end point temperature and the inclusion defect index of a rolled material in an example of the present invention;
FIG. 2 is a graph showing the relationship between RH inbound oxygen sites and inclusion defect indices in the example of the present invention;
FIG. 3 is a graph showing the relationship between the oxygen blowing amount in the RH process and the inclusion defect index in the rolled stock according to the example of the present invention;
FIG. 4 is a graph showing the relationship between the standing time and inclusion defects in the rolled stock according to the example of the present invention;
FIG. 5 is a graph of the temperature before aluminum addition versus inclusion defects in the rolled stock in an embodiment of the present invention;
FIG. 6 is a diagram of the index of the rolled stock defect occurring in each month after the process parameters are optimized in the embodiment of the invention.
Detailed Description
A method for optimizing IF steel smelting parameters and reducing cold rolling inclusion defects comprises the following steps: firstly, collecting production data from a converter to cold rolling, and correlating the collected data to enable the inclusion defect conditions recorded in the cold rolling and hot rolling production processes to correspond to the heat data in the smelting process; then, analyzing the key parameters in the smelting process and the condition of the inclusion defect generated by the subsequent rolled stock by using a statistical analysis method to obtain the influence condition of the key parameters in the smelting on the inclusion defect of the rolled stock and the mutual relation of the smelting parameters, and determining the main factors influencing the inclusion defect of the rolled stock; finding out key factors which have great influence on the defects of the rolled material inclusion; and the improvement of the process parameters is provided according to key factors, so that the occurrence proportion of the inclusion defects in the rolled stock is effectively reduced.
The method comprises the following specific steps:
(1) acquiring data: respectively collecting production data of 6-12 months from a converter, an RH, continuous casting and hot rolling secondary system, wherein the data comprises a production sequence number, a manufacturing order number, a converter end point temperature, a converter end point oxygen level, a temperature after the converter, an RH station entering temperature, an RH station entering oxygen level, an RH station leaving temperature, RH processing time, oxygen blowing amount, a temperature before adding aluminum, an oxygen level before adding aluminum, standing time, a pulling speed and a tundish temperature; finding out the number and the weight of the hot-rolled coil and the cold-rolled coil with the inclusion defects in the hot-rolled and cold-rolled production process of the heat corresponding to the data;
(2) summarizing smelting parameters of each heat according to production sequence numbers and manufacturing command numbers in a converter, RH, continuous casting and hot rolling secondary system, respectively indicating whether inclusion type defects exist in the hot rolling and cold rolling processes by 1 and 0, and counting the total weight W1, W2, W3 and … … of hot rolling and cold rolling coils with inclusion type defects in each heat and the total weight M1, M2, M3 and … … of casting blanks in each heat
(3) Analyzing the relation between each smelting parameter and the inclusion defects in the subsequent rolled stock by using logistic regression analysis and descriptive statistics, analyzing the relation between different smelting parameters and defect indexes in the rolled stock in different intervals, and finding out a parameter interval with lower inclusion defects in the rolled stock, namely a reasonable process parameter control range; and (3) calculating an inclusion defect index:
(4) after the reasonable process parameters are determined, 3 ~ 6 months are produced according to the parameter process, the probability of the inclusion defects in the cold-rolled sheet in the months is counted, the proportion of the inclusion defects of the cold-rolled sheet is reduced, the trend of reducing the inclusion defects of the rolled sheet month by month is seen, and the effect of reducing the inclusion defects of the rolled sheet is achieved.
In the embodiment, 250t converter → RH → slab continuous casting → hot rolling → cold rolling process of a certain steel mill, 486 times of production data of 1 ~ 7 month in 2015 is taken as basic data, and IF steel smelting process parameters are optimized by applying the method provided by the invention.
The method comprises the following specific steps:
(1) collecting production data from a converter, RH and continuous casting through a secondary system on site, wherein the production data comprises production sequence number, manufacturing order number, converter end point temperature, converter end point oxygen level, temperature after the converter, RH station-entering temperature, RH station-entering oxygen level, RH station-exiting temperature, RH processing time, oxygen blowing amount, temperature before aluminum adding, oxygen level before aluminum adding, standing time, pulling speed, tundish temperature and other smelting key parameters; and then finding out the number and the weight of the hot-rolled coils and the cold-rolled coils which have the inclusion defects in the hot-rolled and cold-rolled production processes corresponding to the furnaces.
(2) And summarizing smelting parameters of each heat according to a production sequence number and a manufacturing command number in secondary data of a converter, RH, continuous casting and hot rolling and cold rolling, wherein the existence of inclusion defects in the hot rolling and cold rolling process is respectively represented by '1' and '0', and the total weight of hot rolling and cold rolling coils with the inclusion defects in each heat and the total weight of casting blanks in each heat are counted.
(3) Analyzing the relation between each smelting parameter and the inclusion defects in the subsequent rolled stock by using logistic regression analysis and descriptive statistics, analyzing the relation between different smelting parameters and the defect indexes in the rolled stock in different intervals, and enumerating the relations between several important smelting parameters and the inclusion defects of the rolled stock as follows:
the converter end temperature and the inclusion defect index of the rolled material are shown in FIG. 1. As can be seen from FIG. 1, the converter end point temperature has a significant influence on the inclusion defects, the higher the converter end point temperature is, the smaller the proportion of the inclusion defects is, and when the converter end point temperature is higher than 1695 ℃, the proportion of the inclusion defects is significantly reduced. The results accord with the actual smelting process, the temperature of the converter is high at the end point, and the temperature of the whole smelting process is increased, so that the amount of alumina inclusions generated in the oxygen blowing and temperature rising process in the RH refining process is reduced, and the defects of rolled products are reduced. Therefore, from the above statistical analysis, the converter end point temperature should be controlled to 1695 ℃ or higher.
The RH inbound oxygen site is related to the inclusion defect index as shown in FIG. 2. It can also be seen that the inclusion defect ratio does not have a significant relationship with the inbound oxygen sites.
The relationship between the oxygen blowing amount in the RH process and the defect index of inclusions in the rolled stock is shown in FIG. 3. It can be seen from FIG. 3 that the oxygen blowing amount is less than 250Nm3In the process, the inclusion defect indexes in two ranges are slightly larger than 0.4, and the rest are smaller than 0.4; when the oxygen blowing amount is more than 250Nm3When the defect index is high, the inclusion defect index is 0.57 and obviously 0.4. Indicating that when the oxygen blowing amount is more than 250Nm3In the course of rolling, the proportion of inclusion defects appearsIs obviously increased.
The relationship between the standing time and the inclusion defects in the rolled stock is shown in FIG. 4. It can be seen from the figure that the inclusion defect index is significantly less than that of both sides within 30-40min of standing time. This shows that the standing time is within the range of 30-40min, the inclusion defect index is small, and the standing time should be controlled within 30-40min during smelting.
Logistic regression analysis was performed on the temperature before addition of aluminum, the oxygen level before addition of aluminum, and the standing time to obtain table 1.
TABLE 1
The significance test of the logistic regression model parameters uses a Wals test method, and statistical software automatically counts Wals statistics and appropriate accompanying probability and makes decisions according to the Wals statistics and the accompanying probability. If tests are concluded from Wals, the larger the Wals statistic, the better. If a test conclusion is given according to the accompanying probability, when the accompanying probability is greater than or equal to the significance level, the null hypothesis is not rejected, the independent variable model parameter or the regression coefficient has no significant difference from 0, the linear relation between the independent variable and the Logit (p) is not significant, otherwise, the linear relation is considered to be significant.
Although the temperature and oxygen site before adding aluminum do not meet the established significance level, the significance is still certain, so that from the B value representing the coefficient, the oxygen site before adding aluminum is in direct proportion to the index of the inclusion defect, and the temperature before adding aluminum is in inverse proportion to the index of the inclusion defect, which can indicate that the proportion of the inclusion defect is reduced by the relatively higher temperature and the lower oxygen site before adding aluminum to a certain extent. Controlling the oxygen entering the station at 600--6In the range of 1600-3The following 40 groups of data were screened out, and the data were sorted from small to large according to the oxygen level before adding aluminum, and divided into two parts, to obtain table 2:
TABLE 2
As can be seen from the data in the table, when the remaining variables are controlled within a small range, the higher the oxygen level before adding aluminum, the higher the proportion of the occurrence of inclusion defects is.
The temperature before addition of aluminum was then analyzed to yield FIG. 5:
as can be seen from fig. 5, there is a certain decrease in the index of inclusion defects with increasing temperature before aluminum addition, especially higher at lower temperatures, indicating that increasing temperature before aluminum addition is beneficial for the decrease in the index of inclusion defects.
(4) Through the statistical analysis, a series of improvement measures are made for the IF steel smelting site situation, wherein the most important is to control the converter end point temperature to be more than 1695 ℃, and the second is to control the oxygen blowing amount not to exceed 250Nm in the refining stage3Oxygen level before adding aluminium is controlled at 390X 10-6The change situation of the proportion of the defect heat of the rolled material in each month is counted after the field process parameters are adjusted according to the improvement measures, as shown in fig. 6, the proportion of the inclusion defect heat of the IF steel rolled material is reduced and the IF steel rolled material tends to be reduced month by month from fig. 6, which shows that the effect of reducing the inclusion defect of the rolled material can be achieved by controlling the key smelting parameters which are obtained in the research and influence the generation of the inclusion defect of the rolled material.
Claims (1)
1. A method for optimizing IF steel smelting parameters and reducing cold rolling inclusion defects is characterized by comprising the following steps:
firstly, collecting production data from a converter to cold rolling, and correlating the collected data to enable the inclusion defect conditions recorded in the cold rolling and hot rolling production processes to correspond to the heat data in the smelting process; then, analyzing the smelting parameters in the smelting process and the condition that the subsequent rolled stock has inclusion defects by using a statistical analysis method to obtain the influence condition of the smelting parameters in the smelting on the inclusion defects of the rolled stock and the mutual relation of the smelting parameters, and determining the main factors influencing the inclusion defects of the rolled stock; finding out smelting parameters which have great influence on the inclusion defects of the rolled stock; the method provides technological parameter improvement according to smelting parameters, reduces the occurrence proportion of inclusion defects in rolled stock, and comprises the following specific steps:
(1) acquiring data: respectively collecting production data of 6-12 months from a converter, an RH, continuous casting and hot rolling secondary system, wherein the data comprises a production sequence number, a manufacturing order number, a converter end point temperature, a converter end point oxygen level, a temperature after the converter, an RH station entering temperature, an RH station entering oxygen level, an RH station leaving temperature, RH processing time, oxygen blowing amount, a temperature before adding aluminum, an oxygen level before adding aluminum, standing time, a pulling speed and a tundish temperature; finding out the number and the weight of the hot-rolled coil and the cold-rolled coil with the inclusion defects in the hot-rolled and cold-rolled production process of the heat corresponding to the data;
(2) summarizing smelting parameters of each heat according to production sequence numbers and manufacturing command numbers in a converter, RH, continuous casting and hot rolling secondary system, respectively indicating whether inclusion defects exist in the hot rolling and cold rolling processes by 1 and 0, and counting the total weight W1, W2, W3 and … … of hot rolling and cold rolling coils with inclusion defects in each heat and the total weight M1, M2, M3 and … … of casting blanks in each heat
(3) Analyzing the relation between each smelting parameter and the inclusion defect in the subsequent rolled stock by using logistic regression analysis and descriptive statistics, analyzing the relation between different smelting parameters and the inclusion defect index in the rolled stock in different intervals, and finding out a parameter interval with lower inclusion defect of the rolled stock, namely a reasonable process parameter control range; and (3) calculating an inclusion defect index:
(4) after the reasonable process parameters are determined, 3 ~ 6 months are produced according to the parameter process, the probability of the inclusion defects in the cold-rolled sheet in the months is counted, the proportion of the inclusion defects of the cold-rolled sheet is reduced, the trend of reducing the inclusion defects of the rolled sheet month by month is seen, and the effect of reducing the inclusion defects of the rolled sheet is achieved.
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