JPH05287341A - Device for designing quality of steel sheet - Google Patents

Abstract

PURPOSE:To facilitate a counter measure to order-received specifications in various conditions and to miniaturize a database holding the information of the results of each kind of steel. CONSTITUTION:Only the standard information of specifications is registered. As for destination countries different in standards, after the machine test properties of order-received specifications are corrected by test value strict rules, the database is retrieved, and as for ones in which usage or the like are special after the componental range of the order-received specifications is corrected by componental range limiting rules, the data base is retrieved.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to quality design of steel plates such as thick plates, and more particularly to determination of steel grade.

[0002]

2. Description of the Related Art In steel plate manufacturers, when deciding a steel type to be manufactured for an ordered product, a skilled engineer conventionally refers to a complicated quality design manual, and various necessary conditions included in the order details. That is, a specific steel grade that satisfies all of the product dimensions, mechanical test characteristics, various component value ranges, applications, etc. is searched and determined over time. This kind of work is very laborious and requires skilled technicians. Therefore, it is desired to use a computer to automate the steel type determination.

[0003]

However, the work of determining the steel type is not a simple process of simply searching the table for an item satisfying a specific condition, but various conditions are very complicatedly related. It was difficult to automate it.

For example, in Japan, mechanical test characteristics are measured based on the JIS standard, but in other countries, the standard, measurement conditions, measuring method, or numerical judgment standard is J.
Since it may differ from IS, the conditions of various steel types manufactured in Japan (mechanical test characteristics measured based on JIS standard) may not satisfy the quality required in some countries. In addition, depending on the intended use of the steel sheet, it may be necessary to individually limit the range of components (phosphorus, sulfur, carbon, manganese, niobium, etc.) contained in the steel material. However, if all the data with the numerical values modified according to the destination country and usage are prepared as a database, the amount of data will become enormous, so a system having such a database. Is difficult to achieve.

It is an object of the present invention to automate the determination of steel grade and to cope with various conditions with a relatively small database.

[0006]

In order to solve the above-mentioned problems, in the present invention, a data base means for accumulating at least information on mechanical test characteristics and component value ranges for each of a plurality of steel types. Input means for inputting information of order details including mechanical test characteristics, component value range, and other necessary condition information about the third item; based on information of third item included in order details , Predetermined rule
According to the rules, at least one of the mechanical test characteristics and the component value range contained in the order details is corrected; and the steel grade information on the data base means is searched, and the order details corrected by the correction means. A steel type extraction means for extracting a steel type that satisfies the information requirement is provided.

[0007]

In the present invention, the order details entered are
In addition to the mechanical test characteristics and the range of component values, the third item includes the country of destination and the code for use. Of these information, the mechanical test characteristics and / or component value ranges are
Modifications are made according to the contents of the item, that is, the product of a specific destination country or a specific use. Based on the order details corrected by the correction means, a specific steel type satisfying the requirement is extracted from the steel types registered in the data base means.

Therefore, according to the present invention, even when a steel sheet shipped to various countries whose standards and measurement methods are different from JIS is handled, it is possible to perform various applications including a case where special component value range limitation is required. Even when determining the steel type for use, it is sufficient to register only the minimum necessary information based on the ordinary JIS standard in the data base means, and the data base means can be used on a small scale. Memory device.

[0009]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS FIG. 1 shows the configuration of the entire system of an embodiment of the present invention. Referring to FIG. 1, the workstation WS
1 (Hitachi 2050/32) is connected to the node of the network NW1 and is connected to the central computer via the communication control device (3725) connected to the NW1. There is another network for the workstation station WS1.
Work station WS2 (NSSU
N4) is connected. In the system of this embodiment, the main processing of the quality design of the thick plate is executed by the work station WS1, and only the material prediction calculation of the quality design is executed by the work station WS2. There is. Central computer to workstation WS1
The data of the order details is input to the, and the information of the result of the quality design is returned from WS1 to the central computer.

FIG. 2 shows an outline of processing from input data to generation of steel type information, and FIG. 3 shows an example of the contents of the input data (order details) 1. As shown in FIG. 3, in this example, the contents of the input data are categorized into four items, that is, the ordered product size, contract specification machine test, contract specification chemical component, and general item. Includes sheet thickness, sheet width and sheet length dimensions, and contract specification mechanical test items include tensile strength range (lower limit min and upper limit max) and yield point range (lower limit and upper limit). The chemical composition item includes the range (lower limit and upper limit) of each content of phosphorus, sulfur, and niobium (Nb), and the general item includes information on destination country, intended use code, and joint COD requirement. Etc. are included.

Referring to FIG. 2, the information on the product size (ordered product size) of the input data 1 is input to the primary steel type selection process 2, and the information on the mechanical test characteristics (contract specification mechanical test) is the test value. It is input to the primary steel type selection process 2 via the addition rule 3, and the information of the component value range (contractual specification chemical composition) is input to the secondary steel type selection process 5 via the component value range limiting rule 4.
The general information is input to the rule 3 for adding test values and the component value range limiting rule 4.

A part of the rule 3 for adding the test value is shown in FIG. In the rule shown in FIG. 4, when the destination country is a special country (CT1) set in advance, the tensile strength lower limit value of the mechanical test item is increased by 1 kg / mm ^2, and the yield point lower limit value of the mechanical test item is further added. Is specified to be added by 1 Kg / mm ² .
This is because the data on the actual performance database 6 shown in FIG.
Although it is the actual information that is valid in Japan based on the IS standard, the conditions of various steel types manufactured in Japan may differ from JIS in the standards, measurement conditions, measurement methods, and numerical criteria in foreign countries. This is because (mechanical test characteristics measured based on JIS standard) may not satisfy the required quality in some countries. That is,
In order to share the actual performance database 6 that is accepted in Japan for all destination countries, the mechanical test characteristic items of the input data 1 are corrected by adding the test value to the rule 3 and then the primary steel grade is selected. It is passed to the process 2.

FIG. 5 shows the contents of the mechanical test characteristic items passed to the primary steel grade selection process 2 corrected by the test value addition rule 3. That is, in the input data shown in FIG. 3, the destination country is CT1 in the items of general items, and therefore, based on this, the test value addition rule 3 (see FIG. 4) uses the machine Add 1 kg / mm ² to both the lower limit of tensile strength (52.0) and the lower limit of yield point (35.5) of the test items,
The values corrected to 53.0 and 36.5 are output to the primary steel grade selection process 2, respectively. In the corrected information (FIG. 5), the class is changed to “interim examination”.
This is a clear input of the type of information after modification.
s is a process for distinguishing it from the “thick plate order details”).

In the primary steel type selection processing 2, the actual data is
With reference to the table 6, all of the information on the actual results that completely satisfies the product dimensions of the input data 1 and the mechanical test characteristics (conditions of FIG. 5) that have passed the test value addition rule 3 are candidates. Extract.

Information on three steel types 7ES2, 7ES3 and 7ES5 among the data groups existing on the actual data base 6 is shown in FIGS. 6, 7 and 8 and is obtained by the primary steel type selection process 2. The extracted performance information is shown in FIG. Referring to FIGS. 6, 7 and 8, each performance information on the performance database 6 includes a range of mechanical test characteristics for each plate thickness section registered in the table format (upper limit of yield point). And lower limit, upper and lower limits of tensile strength, etc.), tapping grade, information on heat treatment, information on composition range (upper and lower limits of phosphorus, upper and lower limits of sulfur, upper and lower limits of niobium, etc.), and others Manufacturing conditions (upper and lower limits of heating temperature, upper and lower limits of finishing rolling temperature, upper and lower limits of water cooling start temperature, etc.) are included.

Therefore, in the primary steel type selection process 2, the range of mechanical test characteristics (upper and lower limits of yield point, upper and lower limits of tensile strength, etc.) based on the product size of the input data 1 for each performance information. Are checked to see if they satisfy the range of the mechanical test characteristics of the corrected input data (FIG. 5), and the satisfying performance information is extracted as a candidate. For example, in the input condition shown in FIG. 3, the plate thickness is 12.5 mm, and the actual information (7ES2) in FIG. 6 has a yield point of 35.0 to 49.0 Kgf / mm ² and tensile strength of 53.0 to 61.0 Kgf / m.
m ² , the yield information is 41.0 to 51.0 Kgf in the actual information (7ES3) of Fig. 7.
/ mm ² , tensile strength is 57.0 to 62.0 Kgf / mm ² , performance information in Fig. 8
(7ES5) yield point is 38.0-48.0 Kgf / mm ² , tensile strength is 5
Since it is 5.0 to 60.0 Kgf / mm ² , the input conditions shown in Fig. 5 (yield point is 36.5 Kgf / mm ² or more, tensile strength is 53.0 to 62.0 Kg
7ES3 and 7ES5 satisfy f / mm ² )
And, 7ES2 is not satisfied. Therefore, as a result of the primary steel type selection processing 2, as shown in FIG.
The performance information of S3 is selected, and the performance information of 7ES5 is selected as the candidate 2.

Under the condition of the input data shown in FIG. 3, since the actual result information satisfying the condition exists on the actual result database 6, the candidates could be immediately extracted as described above. In many cases, special conditions that have not been manufactured in the past appear as the input data 1. For those that do not have manufacturing results, the performance information that satisfies the input conditions of the mechanical test characteristics is displayed on the performance database 6. May not exist at all. In such a case, a new steel type is designed by the material prediction model 7 (executed by WS2) shown in FIG. In this material prediction model 7, new manufacturing conditions are set, and the material (such as mechanical test characteristics) is predicted by simulation. If the material under the new manufacturing conditions does not satisfy the conditions of the input data 1, the contents of the manufacturing conditions are updated in process 8, the process of the material prediction model 7 is executed again, and the conditions of the input data 1 are set. The process is repeated until satisfied.
Therefore, if the setting of the first manufacturing condition given to the material prediction model 7 is inappropriate, the number of repetitions of the material prediction model 7 until the manufacturing condition (steel type) satisfying the condition of the input data 1 is found. Will increase.

Therefore, in this embodiment, the actual performance information satisfying the input condition of the mechanical test characteristic is the actual performance database 6.
If none of the above exists, the manufacturing condition relating to the performance information that is closest to the input condition from the performance information existing on the performance database 6 is given to the material prediction model 7 as an initial value. In this example, a confidence level table 9 is provided in order to quantify the similarity between the new steel grade corresponding to the input condition and each actual steel grade.

The contents of the certainty factor table 9 are shown in FIG.
With reference to FIG. 13, the certainty factor table is composed of three YP tables, TS tables, and YR tables. Note that FIG. 13 is an example of a table, and in reality, confidence table is provided for other mechanical test characteristics. The YP table holds the certainty factor (similarity) regarding YP (yield point), the TS table holds the certainty factor regarding TS (tensile strength), and the YR table holds the certainty factor regarding YR (yield ratio). .. The certainty factor is determined according to the difference between the performance information of each parameter and the input condition. For example, the YP lower limit value difference of the YP table is the yield point lower limit value of the actual result information-the yield point lower limit value of the input condition. For example, in the case of the 7ES2 actual result information shown in FIG. 6 and the input condition shown in FIG. If so, the yield point lower limit value of the actual performance information is 35.0, and the yield point lower limit value of the input condition is 36.5, so the YP lower limit value difference is -1.5, and 0.9 from the YP table is YP. Required as a certainty factor. For the TS table and the YR table, the certainty factor can be obtained in the same manner as the YP table. The final certainty factor of each record information is obtained as YP certainty factor × TS certainty factor × YR certainty factor. Then, the performance information with the highest certainty is selected. For example, the certainty factors of the actual steel type A, the actual steel type B and the actual steel type C are 0.61, 0.56 and 0.
If it is 90, since the certainty factor of the actual steel type C is the largest, the manufacturing condition of the actual steel type C is selected and given to the material prediction model 7 as the initial condition in the process 10 of FIG. In this way, by setting the manufacturing conditions of the actual steel grades with very similar conditions to the initial values and starting the material prediction, the number of times of the material prediction processing required until a new steel grade that satisfies the input conditions is found is very small. Therefore, the time required for quality design is shortened.

On the other hand, referring to FIG. 2, the information of the component value range (contract specification chemical component: FIG. 3) of the input data 1 is as follows:
After being corrected through the component range limiting rule 4, it is passed to the secondary steel type selection process 5. The contents of a part of the component range limiting rule 4 are shown in FIG. Referring to FIG. 10, one rule defines a limited rule in the case where the usage of the items of general items of the input data 1 is "anti-lame", and the other rule.
In one rule, the general items of input data 1
It defines a limited rule when there is a COD requirement. For example, in the case of the input data shown in FIG. 3, since the usage code of general items is "anti-glare", it corresponds to the former limited rule. Therefore, the sulfur max of the input data is 0.040%, which is corrected to 0.008%. Also, since the input data of FIG. 3 has a joint COD requirement as a general matter, it also corresponds to the latter limited rule. Therefore, although there is no regulation concerning niobium (Nb) in the input data, Nbmax is 0.02.
Limited to%. FIG. 11 shows information on the component value range corrected in this way. Information on the corrected component value range is input to the secondary steel type selection processing 5.

In the secondary steel type selection process 5, it is necessary for the actual information of each candidate obtained as a result of the primary steel type selection process 2 (FIG. 9) or the new steel type information obtained by the material prediction model 7. Whether the composition range is satisfied is extracted, and the satisfied one is extracted as the selection result of the secondary steel type. For example, in the case of candidate 1 shown in FIG. 9, it satisfies the component value range shown in FIG. However, in contrast to “no heat treatment” in the component value range shown in FIG. 11, in the case of candidate 2 shown in FIG.
Does not satisfy the condition of FIG. The reason why the heat treatment is included in the definition of the component value range is that the heat treatment changes the component value range. Therefore, as a result of the secondary steel type selection process 5, only the information on the manufacturing conditions of the 7ES3 steel type is output as shown in FIG.

[0022]

As described above, according to the present invention, the information of the third item (the contents of general matters) in which the correction means (rule for adding test value 3, rule for limiting component range 4) is included in the order details )
At least one of the mechanical test characteristics and the component value range included in the order details is corrected based on the above. Therefore, the destination country (classification of standards, etc.) is added on the data base means (actual data base 6). It is not necessary to store a huge amount of information according to usage, presence of special request, etc., and only standard (for example, JIS standard) information needs to be stored.
The steel plate quality designing device can be easily put into practical use because the measuring means can be constituted by a memory having a relatively small capacity.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration of an entire system according to an embodiment.

FIG. 2 is a block diagram showing an outline of a process of generating information on a steel type that satisfies an order specification.

FIG. 3 is a memory map showing an example of input data (order details).

FIG. 4 is a memory map showing a part of the rule 3 for adding test values.

FIG. 5 is a memory map showing mechanical test characteristics corrected by a test value addition rule 3.

FIG. 6 is a memory map showing manufacturing results of 7ES2 steel grade.

FIG. 7 is a memory map showing manufacturing results of 7ES3 steel grade.

FIG. 8 is a memory map showing manufacturing results of 7ES5 steel grade.

FIG. 9 is a memory map showing the result of primary steel type selection 2.

FIG. 10 is a memory map showing a part of the component range limiting rule 4.

FIG. 11 is a memory map showing a component value range modified by the component range limiting rule 4.

FIG. 12 is a memory map showing the results of secondary steel type selection 5.

FIG. 13 is a memory map showing the structure of a certainty factor table 9.

[Explanation of symbols]

1: Input data 2: Primary steel type selection processing (steel type extraction means) 3: Test value addition rule (correction means) 4: Component range limited rule (correction means) 5: Secondary steel type selection processing ( Steel type extracting means) 6: Actual data base (data base means) 7: Material prediction model 9: Confidence table WS1, WS2: Workstation NW1, NW2: Network

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Inventor Mitsuo Takai 1 Kimitsu, Kimitsu City Nippon Steel Corporation Kimitsu Steel Works (72) Inventor Ryu Shun No. 1 Kimitsu, Kimitsu City New Japan Steel Co., Ltd. Company Kimitsu Works (72) Inventor Shinichi Shimomura 1 Kimitsu, Kimitsu-shi Shin Nippon Steel Co., Ltd. Kimitsu Works

Claims (1)

[Claims] 1. A database means for accumulating at least information on a mechanical test characteristic and a component value range for each of a plurality of types of steel; a mechanical test characteristic, a component value range, and a third item other than that. Means for inputting the information of the order specification including the information of the necessary conditions for the following; based on the information of the third item included in the order specification, according to a predetermined rule,
Correcting means for correcting at least one of the mechanical test characteristics and the component value range included in the order details; and the database.
A steel plate quality designing device, comprising: steel type extracting means for retrieving the steel type information on the steel means and extracting the steel type satisfying the request of the order detail information corrected by the correcting means.