WO2019189455A1

WO2019189455A1 - Manufacturing method, information processing device, relational expression calculation device, and manufacturing system

Info

Publication number: WO2019189455A1
Application number: PCT/JP2019/013350
Authority: WO
Inventors: 佑樹山本; 真史梅谷
Original assignee: 株式会社Uacj
Priority date: 2018-03-28
Filing date: 2019-03-27
Publication date: 2019-10-03
Also published as: JP2019173096A; JP7118690B2

Abstract

In order to calculate an annealing temperature for obtaining an aluminum sheet having a desired mechanical property, without resorting to preliminary testing and the like, an aluminum sheet manufacturing method includes: a step (S102) in which the impurity concentration of an aluminum sheet material or intermediate product is measured; a step (S118 or S120) in which an annealing temperature enabling a mechanical property value of the aluminum sheet to satisfy a prescribed mechanical property value range is calculated on the basis of the impurity concentration; and a step (S122) in which annealing is carried out at the annealing temperature.

Description

Manufacturing method, information processing apparatus, relational expression calculating apparatus, and manufacturing system

The present invention relates to a manufacturing method for manufacturing an aluminum plate.

In the metal plate manufacturing process, it is necessary to manufacture a final product that satisfies the range of mechanical property values (characteristic values that can be measured by mechanical tests) specified by the orderer. Therefore, a technique for calculating a mechanical characteristic value from various conditions at the time of manufacture has been developed. For example, Patent Literature 1 is a method for predicting quality characteristic values of steel materials, using a quality database that stores past production conditions of steel materials and quality characteristic values obtained under the conditions, and mechanical characteristics. Techniques for predicting values are disclosed.

Japanese Patent Publication “JP 2007-257621 A”

By the way, the manufacturing process of the aluminum plate material includes an annealing process. It has been found that the mechanical property value of the aluminum plate varies depending on the annealing temperature during the annealing.

However, in the production of an aluminum plate material, even when annealing is performed at the same temperature, the mechanical property value of the finally produced aluminum plate material varies depending on the production lot. There are various causes of the variation, but it is unclear what factor affects the mechanical property value.

In addition, it is difficult to reproduce the scale and process details of the manufacturing process (for example, heating and cooling processes) in the laboratory test. It was difficult to calculate.

Therefore, in the conventional manufacturing method, for example, when the annealing process is performed as the final process, a preliminary test is performed on the intermediate product immediately before the annealing, and then the operator experiences in consideration of the result of the preliminary test. The annealing temperature was determined by the law.

An object of one embodiment of the present invention is to calculate an annealing temperature for obtaining an aluminum plate having desired mechanical characteristics.

In order to solve the above-described problem, a manufacturing method according to one aspect of the present invention is a method for manufacturing an aluminum plate material, which is included in the material or intermediate product of the aluminum plate material. A concentration measuring step for measuring the concentration of impurities that are not the main components of the product and that are not intentionally added to the material or the intermediate product, and based on the concentration of the impurities, the machine for the aluminum plate A temperature calculating step for calculating an annealing temperature for the characteristic value to satisfy a predetermined mechanical characteristic value range; and an annealing step for executing the annealing at the annealing temperature.

In order to solve the above-described problem, an information processing apparatus according to one embodiment of the present invention is not a main component of a material or an intermediate product in manufacturing an aluminum plate material, and is intentionally included in the material or the intermediate product. An impurity concentration acquisition unit that acquires information indicating the concentration of impurities that are not added, and an annealing temperature for satisfying a predetermined mechanical property value range of the mechanical property value of the aluminum plate based on the impurity concentration And a temperature calculation unit for calculating.

In order to solve the above-described problem, the relational expression calculating apparatus according to one aspect of the present invention is configured so that, for each of a plurality of annealing temperatures, the concentration of impurities when performing annealing of an intermediate product in the manufacture of an aluminum plate material Based on the actual data, the actual data acquisition unit for acquiring actual data in which the processing conditions in at least one process until the intermediate product is manufactured and the mechanical property value of the annealed aluminum sheet material are associated with each other. A relational expression calculating unit that calculates a relational expression between the concentration of the impurity, the processing condition, the mechanical property value, and the annealing temperature, and the impurity is contained in a material of the aluminum plate or an intermediate product It is a component that is not a main component of the material or the intermediate product and is not intentionally added to the material or the intermediate product.

According to one aspect of the present invention, the annealing temperature for obtaining an aluminum sheet having desired mechanical properties can be calculated without relying on a preliminary test or the like.

It is a figure which shows the flow of a process in the manufacturing system which concerns on Embodiment 1 of this invention. It is a figure which shows the manufacture flow of a H2n aluminum plate material. It is a figure which shows the principal part structure of the manufacturing system which concerns on Embodiment 1. FIG. It is a figure which shows an example of the data structure of manufacturing condition information. It is a figure which shows the principal part structure of the manufacturing system which concerns on Embodiment 2 of this invention. It is a figure which shows an example of the data structure of track record data. It is a figure which shows the flow of a process in the manufacturing system which concerns on Embodiment 2 of this invention. It is a figure which shows distribution of the impurity concentration of a test material in Example 1. FIG. It is a figure which shows the comparison result of the mechanical characteristic value in Example 2. FIG.

The present invention relates to a manufacturing method, a manufacturing system, and various apparatuses that can be used when manufacturing an aluminum plate. Although the kind of aluminum plate material to manufacture is not specifically limited, For example, a H2n aluminum plate material is mentioned.

First, the characteristics of the aluminum plate manufacturing flow will be described. FIG. 2 is a diagram showing a manufacturing flow of the H2n aluminum plate. The H2n aluminum plate is manufactured by casting the material and then performing soaking, hot rolling (hot rolling), cold rolling (cold rolling), and annealing in this order.

It should be noted that the manufacturing flow of the aluminum plate differs depending on the type of the plate. The present invention can be applied to a manufacturing system that employs a manufacturing flow in which annealing is performed in at least one of the intermediate steps.

For example, the manufacturing flow employed by the manufacturing system according to the present invention may be a manufacturing flow in which annealing (final annealing) is performed only once as a final process as shown in FIG. For example, the manufacturing flow which the manufacturing system which concerns on this invention employ | adopts may be a manufacturing flow which performs annealing more than once in the middle process (intermediate annealing), and also performs final annealing. Further, for example, the manufacturing flow employed by the manufacturing system according to the present invention may be a manufacturing flow in which the final annealing is not performed and the intermediate annealing is performed one or more times in the intermediate process.

機械 It is known that the mechanical properties of the final product, aluminum plate, change depending on the annealing temperature. As will be described in detail later, there are various factors other than the annealing temperature that can change the mechanical characteristic value.

The inventors of the present invention have found various factors that can change the mechanical property value of an aluminum plate. The inventors have found a method for calculating the annealing temperature in consideration of the influence of the factor on the mechanical characteristic value. Hereinafter, an embodiment of the present invention will be described.

Embodiment 1
≪Main part configuration of manufacturing system≫
Hereinafter, a first embodiment (Embodiment 1) of the present invention will be described with reference to FIGS. FIG. 3 is a diagram showing a main configuration of the manufacturing system 100 according to the present embodiment. The production system 100 includes equipment 3 (equipment 3A to 3D), a production condition database (DB) 2, an information processing apparatus 1, and an annealing equipment 4 as shown in the figure.

(Equipment 3A-3E)
The facilities 3A to 3E execute each step of the production flow of the aluminum plate material shown in FIG. The casting facility 3A is a facility for casting an aluminum plate material (hereinafter simply referred to as a material). The soaking facility 3B is a facility for performing a soaking process on the intermediate product. The hot rolling facility 3C is a facility for subjecting the intermediate product to a hot rolling process. The cold rolling facility 3D is a facility for performing a cold rolling process on the intermediate product. Each of the facilities 3A to 3D measures various parameters when processing is performed in its own facility as processing conditions, and transmits numerical values of the processing conditions to the manufacturing condition DB 2.

The processing conditions are not particularly limited as long as they are numerical values. For example, the casting equipment 3A may measure the casting temperature and the casting time as processing conditions and transmit them to the manufacturing condition DB 2. In the present embodiment, the “machining condition” is not a parameter value set from another control device or the like for the equipment 3A to 3D, but an actual measurement of the parameters when the equipment 3A to 3D is actually operated. Value.

(Measurement of impurity concentration)
In the manufacturing system 100 according to the present embodiment, the concentration of impurities contained in the material of the aluminum plate material (impurity concentration) is measured at any timing until the material becomes the final product. For example, the impurity concentration may be measured at the material stage, the stage where the casting process of the casting facility 3A is completed, or the stage where the cold rolling process of the cold rolling facility 3D is completed.

In this embodiment, the “impurity” is not included in the material of the aluminum plate material or the intermediate product, is not a main component of the material or the intermediate product, and is intentionally included in the material or the intermediate product. Means ingredients not added.

For example, when producing an H2n aluminum plate, Si, Mg, Zn, Cu, Cr, etc. may be contained as impurities in the aluminum plate material or intermediate product. In the manufacturing system 100, the content per unit amount of each of these elements in the material or the intermediate product is measured. In class identification described later, the total content of these elements per unit amount is used.

In addition, when manufacturing the board | plate material of an alloy of aluminum and another metal, metals other than aluminum may be added intentionally. In such a case, a metal (for example, Mg) intentionally added to obtain an alloy is not included in the impurities.

The case where the impurity concentration is measured at the stage when the casting process of the casting equipment 3A is completed will be specifically described. When the casting process is completed in the casting facility 3A, the material is molded into an aluminum ingot. The ingot is transported to a test site separate from the production line, and the impurity concentration is measured at the test site. The measuring method is not particularly limited. The measured impurity concentration value is input to the PC 5 by a person such as a tester or automatically from the equipment used for the measurement. The PC 5 transmits the input impurity concentration value to the manufacturing condition DB 2.

Note that the measurement of the impurity concentration and the transmission of the measured impurity concentration to the manufacturing condition DB 2 may be automated. For example, an apparatus for automatically measuring the impurity concentration (impurity concentration measuring apparatus) may be disposed at any position before or after the facilities 3A to 3D of the production line of the production system 100, and the impurity concentration may be measured by the apparatus. Good. Then, the impurity concentration measuring apparatus may transmit the measured impurity concentration to the manufacturing condition DB2. Thereby, when measuring the impurity concentration of an intermediate product, it is not necessary to remove the intermediate product from the production line and perform an impurity concentration measurement test. Therefore, the manufacturing speed of the aluminum plate material in the manufacturing system 100 can be increased.

(Manufacturing condition DB2)
The manufacturing condition DB 2 creates and stores manufacturing condition information. The manufacturing condition DB 2 sequentially receives the processing condition values from the facilities 3A to 3D. Further, the manufacturing condition DB 2 receives the value of the impurity concentration from the PC 5. When the manufacturing condition DB 2 receives all the values of the impurity concentration and the processing condition values to be collected for a certain manufacturing lot, the manufacturing lot identifier (for example, lot number) includes the impurity concentration value and various processing conditions. Manufacturing condition information 21 in which values are associated is generated. The manufacturing condition DB 2 stores the generated manufacturing condition information 21.

FIG. 4 is a diagram showing an example of the data structure of the manufacturing condition information 21. As shown in FIG. In the figure, an example of the manufacturing condition information 21 is shown when the equipments 3A to 3D each acquire two types of processing condition values. As shown in the drawing, the manufacturing condition information 21 includes a “lot number” column, an “impurity concentration” column, and a plurality of “processing condition” columns (columns of processing conditions A to H). The manufacturing condition information 21 is data in which information in other columns is associated with information in the “lot number” column. Although specific numerical values are not described in the illustrated example, the measured values of the machining conditions are stored in the columns of the machining conditions A to H of each record.

The lot number that is the identifier of the production lot is stored in the “lot number” column. In the “impurity concentration” column, the value of the impurity concentration of the material or intermediate product corresponding to the lot number in the “lot number” column is stored. The “processing condition” column stores the value of the processing condition corresponding to the lot number in the “lot number” column in each of the facilities 3A to 3D.

In other words, one record of the production condition information 21 is information indicating the concentration of impurities contained in a material of a certain production lot or an intermediate product derived from the material. The manufacturing condition information 21 is information indicating processing conditions in at least one process until an intermediate product that is an object of annealing of a certain manufacturing lot is manufactured.

Note that it is not necessary to measure and transmit the processing conditions in all the facilities 3A to 3D of the manufacturing system 100. For example, equipment that performs a process in which the machining conditions hardly change may not perform measurement and transmission of the machining conditions. In the manufacturing system 100, at least one of the equipments 3A to 3D may be measured and a numerical value of at least one processing condition may be measured and transmitted to the manufacturing condition DB2. In addition, unlike the example shown in the figure, when the manufacturing system according to the present invention performs intermediate annealing, at least one facility among the facilities that perform the process prior to the intermediate annealing measures one or more types of processing conditions. To the manufacturing condition DB.

Here, “production lot” indicates an ingot (or a group of ingots) cast by one casting process by the casting equipment 3A. The method for obtaining the production lot by the production condition DB 2 is not particularly limited. For example, when the casting process is completed, the operator may input the lot number into the PC 5 or the like, and the PC 5 may transmit the lot number to the manufacturing condition DB 2 in association with the impurity concentration. Alternatively, the casting equipment 3A may automatically assign a lot number when its casting process is completed, and transmit the lot number to the manufacturing condition DB 2 in association with the processing conditions.

Further, the method for associating the production lot, the value of the impurity concentration, and the values of various processing conditions is not particularly limited. For example, the manufacturing condition DB 2 may associate the value of the processing condition received within a predetermined time after acquiring the manufacturing lot identifier from the PC 5 with the identifier. Further, for example, the manufacturing condition DB 2 may associate the value of the impurity concentration and the processing condition received within a predetermined time after acquiring the manufacturing lot identifier from the equipment 3A with the identifier.

For example, the identifier of the production lot input by the operator to the PC 5 may be transmitted to the facilities 3A to 3D. In this case, the equipment 3A to 3D transmits the received processing lot identifier to the manufacturing condition DB 2 in a state where the measured processing condition values are associated with each other. In this case, the manufacturing condition DB 2 does not need to receive the manufacturing lot identifier in advance.

For example, the identifier of the production lot numbered by the facility 3A may be transmitted to the PC 5 and the facilities 3B to 3D. In this case, the PC 5 transmits the received manufacturing lot identifier to the manufacturing condition DB 2 in a state where the impurity concentration value is associated with the identifier. The facilities 3B to 3D transmit to the manufacturing condition DB 2 in a state where the measured processing condition values are associated with the received manufacturing lot identifiers. Also in this case, the manufacturing condition DB 2 does not need to receive the manufacturing lot identifier in advance.

(Information processing apparatus 1)
The information processing apparatus 1 is an apparatus that calculates an annealing temperature. The information processing apparatus 1 includes an input unit 11, a display unit 12, an information acquisition unit (impurity concentration acquisition unit) 13, a control unit 10, and a storage unit 14. The information processing apparatus 1 is realized by an electronic device such as a PC, a tablet PC, or a smartphone.

The input unit 11 accepts a user input operation and sends the input content to the control unit 10. For example, the input unit 11 receives an operation for designating a user's production lot and an operation for inputting a mechanical characteristic value. The display unit 12 displays the annealing temperature calculated by the calculation unit (temperature calculation unit) 101 described later. The input unit 11 and the display unit 12 may be a touch panel formed integrally. Moreover, the display part 12 is not an essential structure. Further, when it is not necessary to specify a production lot and input a mechanical characteristic value (for example, when a production lot and a target mechanical characteristic value are determined in advance), the input unit 11 may not be provided.

The information acquisition unit 13 acquires information indicated by the record of the manufacturing condition information 21 corresponding to the manufacturing lot designated by the control unit 10 from the manufacturing condition DB 2. The information acquisition unit 13 sends the acquired information to the control unit 10.

The control unit 10 calculates the annealing temperature based on the impurity concentration value, the processing condition value, and the desired mechanical property value of a specific production lot. Moreover, the control part 10 controls the annealing equipment 4 so that annealing may be performed with the calculated annealing temperature. More specifically, the control unit 10 includes a class specifying unit 102 and a calculation unit 101.

The class identification unit 102 identifies which class the impurity concentration value of a certain production lot belongs to according to the instruction of the calculation unit 101 (class identification). The class specifying unit 102 notifies the calculating unit 101 of the specified class classification.

Here, “class” refers to the range of possible values of the impurity concentration of the aluminum plate material or intermediate product. The range of values that the impurity concentration can take may be determined from data (actual data, which will be described later) indicating manufacturing results when an aluminum plate is manufactured.

It should be noted that there is no particular limitation as to which range and how many impurity concentration values are divided, but it is desirable that this is also determined based on actual data. In the present embodiment, the total value of the contents (mass percent) per unit amount of each element of Si, Mg, Zn, Cu, and Cr is used as the impurity concentration. In this embodiment, the class specifying unit 102 sets the impurity concentration threshold value to 0.06, and if the impurity concentration value is larger than the threshold value, the class specifying unit 102 specifies the impurity concentration class as class A and is equal to or lower than the threshold value. In this case, the class of impurity concentration is specified as class B.

The calculation unit 101 calculates the annealing temperature in a certain production lot. The calculating unit 101 calculates the annealing temperature by substituting the input mechanical characteristic value, impurity concentration, and processing conditions into the relational expression corresponding to the class specified by the class specifying unit 102. Here, the relational expression is an expression showing a correlation among the impurity concentration, the processing condition, the mechanical characteristic value, and the annealing temperature. Therefore, for example, the annealing temperature can be obtained by substituting the impurity concentration, the processing condition, and the mechanical characteristic value into the relational expression.

Specifically, the calculation unit 101 acquires the input content when an operation for inputting the production lot and the mechanical characteristic value is performed in the input unit 11, and from the input content, the manufacturing lot for which the annealing temperature is to be calculated. And the target value of the mechanical characteristics of the aluminum plate material manufactured in the manufacturing lot.

The calculation unit 101 instructs the information acquisition unit 13 to acquire a record of the production condition information 21 corresponding to the identified production lot identifier. When the record of the manufacturing condition information 21 is acquired from the information acquisition unit 13, the calculation unit 101 causes the class specifying unit 102 to specify the class to which the impurity concentration of the manufacturing lot indicated by the record belongs. When the class specified by the class specifying unit 102 is transmitted, the calculation unit 101 reads the relational expression 141 corresponding to the class from the storage unit 14.

And the calculation part 101 calculates annealing temperature by substituting the target value of the specified mechanical characteristic, the value of impurity concentration, and the value of processing conditions into the read relational expression. The calculation unit 101 sends the calculated annealing temperature to the display unit 12 and causes the display unit 12 to display the temperature.

The storage unit 14 stores the relational expression 141. The relational expression 141 is prepared by an amount corresponding to the class classification. The relational expression 141 is calculated in advance and stored in the storage unit 14 until the manufacturing system 100 is in operation. The calculation method of the relational expression 141 will be described in detail later.

(Annealing equipment 4)
The annealing equipment 4 is equipment for annealing the intermediate product. The annealing facility 4 receives the control instruction from the control unit 10 of the information processing apparatus 1 and performs annealing at the annealing temperature calculated by the calculation unit 101 of the control unit 10.

In the present embodiment, the information processing apparatus 1 issues a control instruction to the annealing equipment 4, but the embodiment of the present invention is not limited to this. For example, the control unit 10 of the information processing apparatus 1 may transmit the annealing temperature to the annealing equipment 4 and the annealing equipment 4 may autonomously execute annealing at the annealing temperature. Alternatively, the control unit 10 transmits the annealing temperature to a control device (not shown) that controls the annealing equipment 4, and the control device controls the annealing equipment 4 to perform annealing at the annealing temperature. Also good.

(Modification of manufacturing system)
Note that the manufacturing flow shown in FIG. 2 can be changed as appropriate according to the type of aluminum plate to be manufactured, the mechanical characteristic value to be obtained, and the like. For example, an annealing (intermediate annealing) step may be added before or after any of the soaking, hot rolling, and cold rolling steps. Moreover, as long as the aluminum plate material which has a desired mechanical characteristic is obtained, you may abbreviate | omit various processes other than at least 1 time (1 process) annealing. For example, the cold rolling process may be omitted. Therefore, the equipment 3 of the manufacturing system 100 shown in FIG. 3 may be added or omitted as appropriate according to the manufacturing flow.

≪Process flow≫
Next, a manufacturing method in which the manufacturing system 100 according to the present embodiment determines an annealing temperature for a certain manufacturing lot and performs annealing will be described with reference to FIG. FIG. 1 is a flowchart showing a process flow of the manufacturing system 100. In the following description, lot numbering and impurity concentration measurement are performed immediately after the casting process.

When operation of the production line of the production system 100 starts, the material is cast in the casting facility 3A and formed into an ingot. The casting equipment 3A may measure the processing conditions at the time of casting and send them to the manufacturing condition DB 2.

In the manufacturing system 100, the molded ingot is sequentially transported to the test site, and lot numbering and impurity concentration measurement are performed (S102, concentration measurement step). The lot number and impurity concentration are input or acquired in the PC 5. The PC 5 associates the lot number with the impurity concentration value and transmits it to the manufacturing condition DB 2.

The ingot whose impurity concentration has been measured is returned to the production line again, and undergoes the processing of the equipment 3B to 3D. The facilities 3B to 3D measure the machining conditions when executing the respective machining processes (S104). When the machining processes are completed, the machining conditions are transmitted to the manufacturing condition DB 2.

The manufacturing condition DB 2 creates a record of the manufacturing condition information 21 by associating the received lot number, the value of the impurity concentration, and the values of various processing conditions (S106). The created record is stored in the manufacturing condition DB 2.

The information processing apparatus 1 accepts input of the user's lot number and mechanical characteristic value via the input unit 11. The user inputs a desired mechanical property value (a mechanical property value of the aluminum plate material) via the input unit 11. The control unit 10 of the information processing apparatus 1 acquires the lot number and the mechanical characteristic value (S108).

The control unit 10 instructs the information acquisition unit 13 to acquire the record of the manufacturing condition information 21 corresponding to the acquired lot number. The information acquisition unit 13 acquires a record of the manufacturing condition information 21 (S110, processing condition acquisition step). The class specifying unit 102 specifies the class to which the impurity concentration described in the record belongs. For example, when the impurity concentration is larger than the threshold value (0.06 mass percent) (NO in S112), the class specifying unit 102 determines that the class of impurity concentration is class A (S114, class specifying step). On the other hand, when the impurity concentration is equal to or less than the threshold value (0.06 mass percent) (YES in S112), the class of impurity concentration is determined to be class B (S116, class specifying step).

The calculation unit 101 calculates the annealing temperature using a relational expression corresponding to the class specified by the class specifying unit 102. For example, when the impurity concentration class of the manufacturing lot that is the target of calculating the annealing temperature is class A, the calculation unit 101 calculates the annealing temperature using the first relational expression (S118, temperature calculation step). On the other hand, when the class of impurity concentration is class B, the calculation unit 101 calculates the annealing temperature using the second relational expression (S120, temperature calculation step). The control unit 10 displays the calculated annealing temperature on the display unit 12 and instructs the annealing equipment 4 to perform annealing at the temperature. The annealing equipment 4 performs annealing at the annealing temperature calculated by the calculation unit 101 according to the control from the control unit 10 (S122, annealing step).

Aluminum plate materials vary in impurity concentration depending on the production lot. This variation can occur at the material stage or at any stage of the manufacturing process. The inventors have found that the concentration of this impurity affects the mechanical property value of the aluminum sheet as the final product.

According to the above manufacturing method, the concentration of impurities contained in a material or an intermediate product when an aluminum plate material is manufactured is measured, and the concentration of impurities and desired mechanical property values (predetermined machine From the characteristic value, the annealing temperature can be calculated. Therefore, the said manufacturing method can calculate the annealing temperature for obtaining the aluminum plate which has a desired mechanical characteristic.

The processing conditions in the process up to annealing are considered to affect the mechanical property values of the aluminum sheet. According to the manufacturing method, the annealing temperature for the mechanical property value of the aluminum plate to satisfy the predetermined mechanical property value range can be calculated according to the processing conditions. Therefore, according to the manufacturing method, the annealing temperature can be calculated more accurately.

Further, according to the manufacturing method, the impurity concentration is divided into a plurality of classes, and a relational expression is defined for each class. Thereby, for example, the annealing temperature can be calculated using an optimum relational expression that is different for each class. Therefore, according to the manufacturing method, the annealing temperature can be calculated more accurately.

In the present embodiment, the case where the annealing temperature is calculated from the relational expression has been described. However, the relational expression is an expression showing a correlation among the impurity concentration, the processing condition, the mechanical characteristic value, and the annealing temperature. Therefore, the mechanical property value can be calculated from the relational expression by determining the impurity concentration, the processing conditions, and the annealing temperature.

For example, the calculation unit 101 of the manufacturing system 100 according to the present embodiment acquires an annealing temperature (not an actual measurement value but a planned temperature at the time of annealing) from an input to the input unit 11, and the annealing temperature and the acquired impurities The concentration and processing conditions are substituted into the relational expression for each class. Thereby, the calculation part 101 can calculate a mechanical characteristic value. The calculation unit 101 may display the calculated mechanical characteristic value on the display unit 12.

[Embodiment 2]
A second embodiment (Embodiment 2) of the present invention will be described below. For convenience of explanation, members having the same functions as those described in the embodiment are given the same reference numerals, and the description thereof will not be repeated.

In the present embodiment, in the manufacturing system 100 described in the first embodiment, a system (manufacturing system 200) for calculating a relational expression stored in the storage unit 14 of the information processing apparatus 1, and a method for calculating the relational expression Will be described with reference to FIGS.

FIG. 5 is a diagram showing a main configuration of the manufacturing system 200 according to the present embodiment. The manufacturing system 200 includes facilities 3A to 3D, a PC 5, a performance DB 6, and a relational expression calculation device 7.

The facilities 3A to 3D have the same functions as those shown in FIG. The facilities 3A to 3D measure the machining conditions at the time of each machining process, and transmit the values of the measured machining conditions to the performance DB 6.

The PC 5 transmits the input or acquired impurity concentration value to the performance DB 6. The annealing equipment 4 performs annealing at a predetermined annealing temperature. After execution of annealing, annealing equipment 4 transmits the value of annealing temperature to performance DB6.

The achievement DB 6 creates and stores achievement data. The performance DB 6 sequentially receives values of the processing conditions from the facilities 3A to 3D. The performance DB 6 receives the impurity concentration value from the PC 5. In addition, the performance DB 6 receives the annealing temperature from the annealing equipment 4. When the results DB 6 receives all the values of the impurity concentration for a certain production lot, the values of the processing conditions to be collected, and the annealing temperature, the identifier of the production lot (for example, the lot number), the value of the impurity concentration, Result data 61 in which values of various processing conditions are associated with annealing temperatures is created. The record DB 6 stores the prepared record data 61.

FIG. 6 is a diagram showing an example of the data structure of the result data 61. In the figure, an example of the result data 61 when each of the equipments 3A to 3D acquires two kinds of values of the processing conditions is shown. The actual data 61 includes data when annealing is performed at a plurality of (three in the illustrated example) annealing temperatures.

As shown in the figure, the actual data 61 includes information on a “lot number” column, an “impurity concentration” column, a plurality of “processing conditions” columns (columns of processing conditions A to H), and an “annealing temperature” column. . Among these, information similar to the manufacturing condition information 21 described in the first embodiment is stored in columns other than the “annealing temperature” column. A numerical value of the annealing temperature is stored in the “annealing temperature” column. In the example of FIG. 6, specific numerical values of the annealing temperature are not described, but in the “annealing temperature” column of each record, the intermediate product corresponding to the lot number in the “lot number” column is the annealing equipment 4. The actual measured values of the annealing temperature at the time of annealing are stored.

The relational expression calculation device 7 calculates a relational expression using the result data 61. The relational expression calculation device 7 includes a record data acquisition unit 71 and a relational expression calculation unit 72.

The achievement data acquisition unit 71 acquires the achievement data 61 from the achievement DB 6. Here, unlike the information acquisition unit 13 shown in the first embodiment, the result data acquisition unit 71 acquires all data of the result data 61 instead of one record of the result data 61. In addition, when the record which is not used for the calculation of the relational expression mentioned later among the records of the performance data 61 is designated, the performance data acquisition part 71 acquires the performance data 61 other than the designated record.

In addition, the acquisition timing of the performance data 61 is not particularly limited. For example, when the production line in the production system 200 is stopped, the record data 61 may be acquired collectively. The record data acquisition unit 71 sends the acquired data to the relational expression calculation unit 72.

The relational expression calculation unit 72 calculates a relational expression based on the result data 61. The calculated relational expression may be stored in a storage unit (not shown) of the relational expression calculation apparatus 7, or is transmitted to the information processing apparatus 1 described in the first embodiment and is stored in the storage unit by the information processing apparatus 1. 14 may be stored.

(Relation formula calculation method)
FIG. 7 is a flowchart showing a flow of processing for calculating a relational expression (relational expression calculation processing). When the relational expression calculation unit 72 acquires the record data 61 (S202), each record of the record data 61 is classified according to the impurity concentration value recorded in the record (S204). This class classification may be performed in the same manner as the class specifying unit 102. Then, the relational expression calculation unit 72 calculates a relational expression for each classified class. The subsequent processing is performed for each class unless otherwise specified.

Specifically, the relational expression calculation unit 72 first performs principal component analysis of the result data using the impurity concentration and processing conditions as explanatory variables for each class (S206). Thereby, the explanatory variables are made uncorrelated (orthogonalized). Thereafter, the relational expression calculation unit 72 performs a multiple regression analysis for each record of the record data 61, using the obtained mechanical characteristics as objective variables for each annealing temperature. Thereby, the regression formula for every class and every annealing temperature can be obtained (S208).

To estimate the optimum annealing temperature for the target mechanical property value, it is necessary to determine the dependence of the regression coefficient connecting the impurity concentration and processing conditions on the mechanical property value to the annealing temperature. Therefore, the relational expression calculation unit 72 linearly interpolates the value of the annealing temperature using a plurality of regression equations for the plurality of annealing temperatures of the same class. As a result, a relational expression showing the correlation among the impurity concentration, the processing condition, the mechanical property value, and the annealing temperature is obtained for each class (S210).

More specifically, for example, it is assumed that the explanatory variable x _i and the objective variable y are expressed by the following equations. In the formula, a _i is a regression coefficient, b is a constant, and subscript i is an explanatory variable type.

By defining the dependence of a _i and b on the annealing temperature for each annealing temperature region as shown in the following equation, each value in the equation when the annealing temperature is t1 to t3 is linearly interpolated. In the formula, t represents the annealing temperature. Further, t1 to t3 are the same as the temperatures t1 to t3 shown in FIG. 6, and the magnitude relationship of the values is t1 <t2 <t3.

These relationships, manufacturing conditions a _i, b _i, and a ... x _i and annealing temperature t, can be calculated mechanical specific value y. The optimum t for the desired mechanical property value is determined for each temperature when t is scanned in the temperature range from t1 to t3. absolute error with respect to a _i and b _i

The minimum t may be determined as the annealing temperature.

In the embodiment, regression equation estimation is performed by principal component regression combining principal component analysis and multiple regression analysis on the actual data at the time of manufacturing. However, the regression equation estimation method after class classification is principal component regression. It is not limited to. For example, instead of principal component analysis, an intermediate equation may be calculated using neural network regression, support vector regression, random forest regression, Bayesian regression, or the like, and a relational equation may be calculated from the intermediate equation.

[Example of software implementation]
The control blocks in each device included in the

manufacturing systems

100 and 200, such as the information processing device 1, the manufacturing condition DB 2, the PC 5, the performance DB 6, and the relational expression calculation device 7, are logic circuits formed in an integrated circuit (IC chip) or the like. It may be realized by (hardware) or may be realized by software.

In the latter case, each device includes a computer that executes instructions of a program that is software for realizing each function. The computer includes, for example, one or more processors and a computer-readable recording medium storing the program. In the computer, the processor reads the program from the recording medium and executes the program, thereby achieving the object of the present invention. As the processor, for example, a CPU (Central Processing Unit) can be used. As the recording medium, a “non-temporary tangible medium” such as a ROM (Read Only Memory), a tape, a disk, a card, a semiconductor memory, a programmable logic circuit, or the like can be used. Further, a RAM (Random Access Memory) for expanding the program may be further provided. The program may be supplied to the computer via an arbitrary transmission medium (such as a communication network or a broadcast wave) that can transmit the program. Note that one aspect of the present invention can also be realized in the form of a data signal embedded in a carrier wave, in which the program is embodied by electronic transmission.

The present invention is not limited to the above-described embodiments, and various modifications are possible within the scope shown in the claims, and embodiments obtained by appropriately combining technical means disclosed in different embodiments. Is also included in the technical scope of the present invention.

[Additional Notes]
A manufacturing method according to an aspect of the present invention is a method for manufacturing an aluminum plate material, which is not included in the material or intermediate product of the aluminum plate material and is not a main component of the material or the intermediate product, and A concentration measuring step for measuring a concentration of an impurity which is a component not intentionally added to the material or the intermediate product, and based on the concentration of the impurity, a mechanical property value of the aluminum plate is a predetermined mechanical property value A temperature calculating step for calculating an annealing temperature for satisfying the range; and an annealing step for performing annealing at the annealing temperature.

The manufacturing method may include a processing condition acquisition step of acquiring information indicating processing conditions in at least one process until the intermediate product to be annealed is manufactured. In the temperature calculation step, The annealing temperature may be calculated according to the impurity concentration and the processing conditions.

In the temperature calculation step of the manufacturing method, for each of a plurality of annealing temperatures, the concentration of the impurities and the processing conditions when the intermediate product is annealed, and the mechanical property value of the aluminum sheet after annealing, The annealing temperature may be calculated on the basis of the result data associated with.

According to the above manufacturing method, annealing is performed from the mechanical property value actually obtained when the intermediate product manufactured at a predetermined impurity concentration and a predetermined processing condition is annealed at a predetermined annealing temperature. It is possible to calculate the annealing temperature of the intermediate product.

Further, according to the above manufacturing method, the annealing temperature is calculated based on the actual data at different annealing temperatures. Therefore, for example, a change in mechanical property value when the annealing temperature changes can be predicted using linear interpolation or the like. Therefore, according to the manufacturing method, the annealing temperature can be calculated more accurately.

In the temperature calculation step of the manufacturing method, the annealing is performed based on a correlation among the impurity concentration, the processing condition, the mechanical property value, and the annealing temperature, which is determined based on the actual data. The temperature may be calculated.

Impurity concentration is measured in the concentration measurement step. Further, the processing conditions are specified from the information acquired in the processing condition acquisition step. Therefore, according to the manufacturing method described above, the annealing temperature can be specified from the correlation between the impurity concentration and processing conditions measured and specified as described above and the desired mechanical property value.

Therefore, the manufacturing method can calculate an annealing temperature for obtaining an aluminum plate having desired mechanical characteristics. In addition, since the annealing temperature is calculated from a predetermined correlation, it is not necessary to collect and analyze performance data every time in the temperature calculation step. Therefore, according to the manufacturing method, the annealing temperature can be calculated quickly.

In the manufacturing method, a plurality of classes of the concentration of the impurity may be determined in advance by dividing a range of possible values of the concentration of the impurity included in the actual data, and indicate the correlation The relational expression may be set for each of the classes, and may include a class specifying step for specifying which of the plurality of classes the impurity concentration belongs to. The annealing temperature may be calculated using the relational expression corresponding to the class specified in the class specifying step.

As described above, the impurity concentration affects the mechanical properties of the aluminum plate. According to the manufacturing method, the impurity concentration is divided into a plurality of classes, and a relational expression is defined for each class. Thereby, for example, the annealing temperature can be calculated using an optimum relational expression that is different for each class. Therefore, according to the manufacturing method, the annealing temperature can be calculated more accurately.

The correlation in the manufacturing method is obtained by performing principal component analysis using the concentration of impurities and the processing conditions included in the actual data as explanatory variables, and then superimposing mechanical property values obtained by annealing as objective variables for the explanatory variables. You may show by the relational expression calculated using the regression formula calculated by implementing regression analysis.

According to the above configuration, by performing the principal component analysis, the factor that the eigenvalue is equal to or less than the predetermined value among the impurity concentration and the processing condition that are the factors affecting the mechanical property value is excluded from the relational expression. Can do. Then, a relational expression is calculated on the basis of a regression equation obtained by performing multiple regression analysis using factors having little correlation as explanatory variables. Therefore, according to the manufacturing method, it is possible to calculate a relational expression that can calculate the annealing temperature more accurately.

An information processing device according to one embodiment of the present invention includes an impurity which is not a main component of a material or an intermediate product in the manufacture of an aluminum plate and is a component not intentionally added to the material or the intermediate product. An impurity concentration acquisition unit that acquires information indicating the concentration, and a temperature calculation unit that calculates an annealing temperature for the mechanical property value of the aluminum plate material to satisfy a predetermined range of the mechanical property value based on the concentration of the impurity. Prepare.

According to the above configuration, the concentration of the impurities contained in the material or intermediate product when the aluminum plate material is manufactured is measured, and the concentration of the impurities and the desired mechanical property value (predetermined mechanical property) Value), the annealing temperature can be calculated. Therefore, according to the said structure, the annealing temperature for obtaining the aluminum plate which has a desired mechanical characteristic is computable.

The relational expression calculating apparatus according to one aspect of the present invention provides a concentration of impurities and an intermediate product when the intermediate product is annealed in the production of an aluminum sheet for each of a plurality of annealing temperatures. The actual data acquisition unit for acquiring actual data in which the processing conditions in at least one step of the process and the mechanical property values of the annealed aluminum sheet material are associated, the concentration of the impurities based on the actual data, and the processing conditions A relational expression calculating unit that calculates a relational expression between the mechanical characteristic value and the annealing temperature, and the impurity is contained in the material of the aluminum plate or the intermediate product, It is a component that is not a main component of the intermediate product and is not intentionally added to the material or the intermediate product.

According to the above configuration, a relational expression capable of calculating the annealing temperature can be calculated by substituting the impurity concentration and processing conditions and the desired mechanical property value. In other words, it is possible to calculate a relational expression that can calculate an annealing temperature for obtaining an aluminum plate having desired mechanical characteristics.

The manufacturing system which concerns on 1 aspect of this invention is a manufacturing system of an aluminum plate material, Comprising: The annealing equipment which performs annealing with the annealing temperature which the said temperature calculation part of the said information processing apparatus computed. Including.

According to the manufacturing system described above, the concentration of impurities can be measured in advance, and the annealing temperature can be calculated from the concentration of impurities and the desired mechanical characteristic value (predetermined mechanical characteristic value). And annealing can be performed at the calculated annealing temperature. Therefore, according to the manufacturing system, for example, an aluminum plate having desired mechanical properties can be manufactured without performing a preliminary test.

The manufacturing system may include the relational expression calculation device. In the manufacturing system, the temperature calculation unit of the information processing apparatus uses the relational expression calculated by the relational expression calculation device to perform the annealing. The temperature may be calculated.

According to the above-described manufacturing system, the annealing temperature can be calculated by substituting the impurity concentration and processing conditions and the desired mechanical property value into the relational expression. Therefore, according to the said manufacturing system, the annealing temperature for obtaining the aluminum plate material which has a desired mechanical characteristic is computable. Moreover, since the annealing temperature is calculated using a relational expression calculated in advance, the annealing temperature can be calculated quickly.

In Embodiment 1, the impurity concentration threshold was set to 0.06 mass percent in terms of the total concentration of impurity elements. It was tested whether this impurity concentration threshold was appropriate.

As a test material, an A1200 aluminum plate produced by the general H2n production flow shown in FIG. 2 was prepared. The concentrations of impurity elements Si, Mg, Zn, Cu, and Cr in the test material were measured, and the total value of the concentrations was calculated. A histogram was created for the calculated total value.

FIG. 8 is a diagram showing the distribution of the impurity concentration of the test material. Assuming a mixed normal distribution model in FIG. 8 and applying the EM algorithm, as shown by the broken line in the figure, the impurity concentration of the test material is classified into two clusters: a distribution with a high impurity concentration and a distribution with a low impurity concentration. did it.

The low concentration cluster had an average value μ = 0.0523 and a standard deviation σ = 0.005, and the high concentration side cluster had an average value μ = 0.0692 and a standard deviation σ = 0.004. From these values, for example, it is appropriate to set a value of average value + 3σ = 0.06 as a threshold value of impurity concentration with reference to a cluster on the low concentration side, and perform classification according to whether or not the threshold value is lower than the threshold value It turns out that it is.

As shown in the figure, the peak of the frequency of the cluster on the low concentration side and the peak of the frequency of the cluster on the high concentration side are relatively separated. Therefore, the threshold value may be set to a value other than 0.06 mass percent as long as it is within the boundary range between the low concentration cluster and the high frequency cluster. For example, the threshold value may be appropriately determined within the range of 0.057 to 0.06 mass percent.

In Embodiment 1, the annealing temperature or the mechanical characteristic value is calculated using a relational expression corresponding to the class of impurity concentration. In the second embodiment, relational expressions are created separately for each class. In this way, tests were performed to verify the usefulness of classifying and creating a relational expression and calculating the annealing temperature or mechanical property value using the relational expression for each class.

The test procedure is described below. An A1200 aluminum plate was produced by the general H2n production flow shown in FIG. At that time, the impurity concentration after casting of the material of the plate material, the processing conditions until the production of the plate material, the annealing temperature, and the actual measured values of the mechanical property values (tensile strength and proof stress) obtained with the produced A1200 aluminum plate material Was recorded.

In addition, the annealing temperature of the A1200 aluminum plate material was three kinds of predetermined temperatures h1, h2, and h3. The temperatures h1, h2, and h3 are different temperatures. Further, the temperatures h1, h2, and h3 are temperatures within a range of annealing temperatures that can be generally set when manufacturing an A1200 aluminum sheet in the H2n manufacturing flow.

Then, the comparison between the following (1) and (2) and the comparison result between (1) and (3) were calculated as standard deviation.

(1) Actual measured values of mechanical characteristics.

(2) Mechanical characteristic values calculated using the relational expressions prepared by the method shown in the second embodiment. More specifically, the mechanical property value was calculated using a relational expression corresponding to the class after performing class classification by the method shown in Embodiment 1 based on the measured value of the impurity concentration. In addition, the measured value was used for the value of the impurity concentration, the processing conditions, and the annealing temperature that are substituted into the relational expression.

(3) A mechanical characteristic value calculated using a relational expression calculated by a regression analysis that is the same method as that of the manufacturing system 200 but does not perform classification. As in (2), measured values were used for the impurity concentration, processing conditions, and annealing temperature values assigned to the relational expression.

FIG. 9 is a diagram showing a comparison result of the mechanical characteristic values (1) to (3). The “mechanical properties” column shows the type of mechanical properties. The “annealing temperature” column indicates the annealing temperature. The “class” column indicates names of classes classified according to the impurity concentration. As described above, the class classification method in the present embodiment is the same as the class classification method in the first embodiment. The “no classification” column indicates the value of the mean square error when (1) and (3) are compared. The “classified” column shows the value of the mean square error when (1) and (2) are compared.

As shown in the figure, it was found that the mean square error value when comparing (1) and (2) is smaller than the mean square error value when comparing (1) and (3). In other words, when the mechanical characteristic value is calculated using a relational expression corresponding to the class classification, there is less error from the actually measured value than when the mechanical characteristic value is calculated using the same relational expression regardless of the class. In particular, the difference in predicted performance between (2) and (3) in class B (that is, when the impurity concentration is low) was large.

As shown in FIG. 9, by performing classification and calculating the mechanical property value using the relational expression for each class, the mechanical property value can be predicted more accurately. In this embodiment, the calculation of the mechanical characteristic value is exemplified, but the relational expression is an expression showing a correlation among the impurity concentration, the processing condition, the mechanical characteristic value, and the annealing temperature. Therefore, it can be said that a more accurate value can be calculated by calculating the annealing temperature using the relational expression for each class as in the calculation of the mechanical characteristic value.

DESCRIPTION OF SYMBOLS 1 Information processing apparatus 11 Input part 12 Display part 13 Information acquisition part (impurity concentration acquisition part)
14 storage unit 141 relational expression 10 control unit 101 calculation unit (temperature calculation unit)
102 Class specific part 2 Manufacturing condition DB
21 Manufacturing Condition Information 3A-3D Equipment 4 Annealing Equipment 5 PC
6 results DB
61 Actual data 7 Relational expression calculation device 71 Actual data acquisition part 72 Relational expression calculation part

Claims

A method for producing an aluminum plate,
Concentration of impurities contained in the material of the aluminum plate or the intermediate product, not the main component of the material or the intermediate product, and a component not intentionally added to the material or the intermediate product A concentration measurement step for measuring
Based on the concentration of the impurities, a temperature calculation step of calculating an annealing temperature for satisfying a predetermined mechanical property value range of the mechanical property value of the aluminum plate, and
An annealing step for performing annealing at the annealing temperature.
Including a processing condition acquisition step of acquiring information indicating processing conditions in at least one step until the intermediate product to be annealed is manufactured;
The manufacturing method according to claim 1, wherein, in the temperature calculation step, the annealing temperature is calculated according to the concentration of the impurity and the processing condition.
In the temperature calculation step, for each of a plurality of annealing temperatures, the concentration of the impurity and the processing conditions when the annealing of the intermediate product is executed are associated with the mechanical property values of the aluminum sheet after annealing. The manufacturing method according to claim 2, wherein the annealing temperature is calculated based on performance data.
In the temperature calculating step, the annealing temperature is calculated based on a correlation among the impurity concentration, the processing condition, the mechanical property value, and the annealing temperature, which is determined based on the actual data. The manufacturing method of Claim 3 characterized by the above-mentioned.
By dividing a range of possible values of the concentration of the impurity contained in the actual data, a plurality of classes for the concentration of the impurity are determined in advance,
A relational expression indicating the correlation is set for each class,
A class specifying step for specifying which of the plurality of classes the concentration of the impurity belongs to;
The manufacturing method according to claim 4, wherein in the temperature calculating step, the annealing temperature is calculated using the relational expression corresponding to the class specified in the class specifying step.
The correlation is principal component analysis using the concentration of impurities and the processing conditions included in the actual data as explanatory variables, and then a multiple regression analysis is performed using mechanical property values obtained by annealing as objective variables for the explanatory variables. It is shown by the relational expression calculated using the regression formula calculated by doing, The manufacturing method of Claim 4 or 5 characterized by the above-mentioned.
An impurity concentration acquisition unit that acquires information indicating the concentration of impurities that are not the main component of the material or intermediate product in the manufacture of the aluminum plate and that are components not intentionally added to the material or intermediate product; ,
An information processing apparatus comprising: a temperature calculation unit that calculates an annealing temperature for the mechanical property value of the aluminum plate to satisfy a predetermined range of the mechanical property value based on the impurity concentration.
For each of a plurality of annealing temperatures, the concentration of impurities, the processing conditions in at least one step until the production of the intermediate product, and the aluminum after annealing are performed when the intermediate product is annealed in the production of the aluminum sheet. A record data acquisition unit for acquiring record data in association with the mechanical property values of the plate material;
A relational expression calculation unit that calculates a relational expression indicating a correlation between the impurity concentration, the processing condition, the mechanical characteristic value, and the annealing temperature based on the actual data;
The impurity is a component contained in the material or intermediate product of the aluminum plate, not a main component of the material or intermediate product, and a component not intentionally added to the material or intermediate product. A relational expression calculation apparatus characterized by being.
An information processing apparatus according to claim 7;
And an annealing facility that performs annealing at the annealing temperature calculated by the temperature calculation unit of the information processing apparatus.
Including the relational expression calculating apparatus according to claim 8;
The said temperature calculation part of the said information processing apparatus calculates the said annealing temperature using the said relational expression which the said relational expression calculation apparatus calculated, The manufacturing system of the aluminum plate material of Claim 9 characterized by the above-mentioned.