Product information determination method, manufacturing method, system, and product information determination device

Abstract

This invention provides a method and apparatus capable of deriving required material properties based on the shape of a component and determining manufacturing conditions for raw materials that satisfy those material properties. The product information determination method includes: a property acquisition step (S300), acquiring the material properties required to process the raw materials of the component into the component based on input information including the shape data of the component; and a product information determination step (S400), determining product information including the composition and manufacturing conditions for manufacturing the raw materials that satisfy the material properties.

Description

Technical Field

[0001] This disclosure relates to a product information determination method, manufacturing method, system, and device. Background Technology

[0002] When manufacturing components from metal materials such as steel, a study is conducted between the product manufacturer ordering the component and the material manufacturer (raw material manufacturer) to determine the required material properties for the component in order to optimize the raw materials used in the component. This study considers not only the material properties required for the performance of the finished component, but also the material properties required for processing the raw materials into the component.

[0003] For example, when an automaker contracts with a steel manufacturer to produce thin steel sheets for components that make up a car, the automaker can provide the steel manufacturer with the strength required for the component when it is installed in the car. However, when stamping the thin steel sheet, it is difficult to properly specify the required material properties such as elongation and extension flange. The simplest method is to specify products from the steel manufacturer's catalog that meet all the properties deemed necessary. However, if a limited list of products is selected to simultaneously meet multiple material properties such as strength, elongation, extension flange, and corrosion resistance required for the new component, any one material property becomes excessive, resulting in an overemphasis on quality.

[0004] Furthermore, there has been an increase in the use of complex-shaped, difficult-to-form parts, or in the application of higher-strength raw materials compared to the past, leading to instances where steel manufacturers' catalog products are insufficient to meet these demands. In reality, based on the approximate part shape provided by the automaker, steel manufacturers' technicians rely on experience to determine the mechanical properties required for forming and revise catalog products to minimize quality overruns. Regarding formability, there are also techniques that utilize computer simulations to determine whether forming is feasible (e.g., Patent Document 1). However, in all cases, the process involves repeated trial and error in the development of raw materials by the steel manufacturer, as well as repeated trial and error in forming simulations and actual stamping by the automaker, ultimately resulting in the completion of the new part.

[0005] Patent Document 1: Japanese Patent No. 6314626

[0006] However, it is difficult to optimize the balance of multiple necessary properties, including not only the material properties required for the component but also those required for processing. Designing compositions based on experience, or experimenting with variations of each component to determine the appropriate composition, and then extracting these properties under manufacturing conditions, is a practice aimed at balancing other properties while focusing on one. Furthermore, in the prior art, the focus is mostly on the formability of the component, with raw materials selected from steel manufacturers' catalogs, raising concerns about various problems. For example, in the prior art, there is a concern that there will be excess quality in forming the component except for the parts with the highest material properties required. Similarly, excess quality arises because other material properties are simultaneously improved to meet one material property. Additionally, in the prior art, material properties required for the component other than formability (e.g., yield strength) are sometimes not considered. Specifically, for example, in the case of automotive components, sometimes insufficient yield strength is found in parts of the component after the car is completed. In such cases, it is necessary to change the raw materials or install reinforcements in that part.

[0007] In other words, in order to simultaneously satisfy both component characteristics and material formability, the following practical situations arise: providing materials with excessive quality, or having to add additional reinforcing components when component characteristics are insufficient, and repeatedly engaging in excessive trial and error to eliminate even a slight excess of quality. Moreover, there is a concern that the time required to complete the component will be prolonged due to repeated trial and error.

[0008] As mentioned above, there is room for improvement in the method for selecting raw materials that meet the material properties. Furthermore, a technique is desired that can also effectively determine the manufacturing conditions, etc., of raw materials that meet these material properties. Summary of the Invention

[0009] The purpose of this disclosure, made in view of such circumstances, is to provide a product information determination method, manufacturing method, system, and product information determination apparatus that can derive the required material properties based on the shape of the component and determine product information such as the manufacturing conditions of the raw materials that satisfy the material properties.

[0010] One embodiment of the product information determination method disclosed herein comprises:

[0011] The characteristic acquisition step, based on input information including the shape data of the component, acquires the material properties required to process the raw materials of the aforementioned component into the aforementioned component; and

[0012] The product information determination step determines product information including the composition and manufacturing conditions used to manufacture raw materials that satisfy the material properties obtained in the above-mentioned property acquisition step.

[0013] Furthermore, one embodiment of the plate manufacturing method disclosed herein is configured as follows:

[0014] The board for manufacturing the above-mentioned component is based on the product information determined by the above-described product information determination method.

[0015] Furthermore, the system configuration for manufacturing the plate according to one embodiment of this disclosure is as follows:

[0016] The board is manufactured using the methods described above.

[0017] Furthermore, one embodiment of the product information determination device disclosed herein is configured as follows:

[0018] Equipped with a control unit,

[0019] Based on input information including the shape data of the component, the control unit obtains the material properties required to process the raw material of the component into the component, and determines product information including the composition and manufacturing conditions for manufacturing the raw material that meets the material properties.

[0020] According to one embodiment of the product information determination method, manufacturing method, system, and product information determination apparatus of this disclosure, it is possible to determine the required material properties of raw materials based on the shape of the component, and to efficiently determine the conditions for manufacturing the board. Attached Figure Description

[0021] Figure 1 This is a diagram illustrating a simplified structure of a system according to one embodiment of the present disclosure.

[0022] Figure 2 This is a block diagram of a product information determining device according to one embodiment of the present disclosure.

[0023] Figure 3 This is a flowchart illustrating a method for determining product information according to one embodiment of the present disclosure.

[0024] Figure 4 This is a flowchart illustrating an example of the processing steps in the feature acquisition process.

[0025] Figure 5 It is a simplified diagram representing the rate of change.

[0026] Figure 6 This is a diagram illustrating a summary of the processing of an embodiment of the present disclosure. Detailed Implementation

[0027] Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings.

[0028] In each figure, the same or equivalent parts are labeled with the same reference numerals. In the description of this embodiment, descriptions of the same or equivalent parts are appropriately omitted or simplified.

[0029] Figure 1 This is a schematic diagram illustrating the overall structure of a system 100 including a product information determination apparatus 10 according to an embodiment of this disclosure. Hereinafter, an example of a steel plate being the design object will be described in this embodiment, but the design object is not limited to steel plates. The steel plate can be a hot-rolled steel plate, a cold-rolled steel plate, or a galvanized steel plate. For example, the design object can also be other metal plates, such as aluminum alloys, titanium plates, magnesium plates, etc. Furthermore, the design object can also be something other than a metal plate, such as a sheet-shaped object made of carbon fiber reinforced plastic, carbon fiber braiding, etc. Additionally, the case where the system 100 is used by a material manufacturer (here, a steel manufacturer) that has received an order from a product manufacturer (e.g., an automobile manufacturer) will be described. As a summary, in this disclosure, the material manufacturer obtains, for example, accurate shape data (e.g., three-dimensional data of the component) of the component from the product manufacturer. One focus of this disclosure is that component information is concentrated in the product manufacturer using the component, and material information is concentrated in the material manufacturer that designs and manufactures the raw materials for the component. That is, using component shape data that was previously only available to product manufacturers is one of the features of this disclosure. In this disclosure, by unfolding a component of a specified shape into a sheet material, i.e., by performing reverse calculations on the deformation process of the raw material, the component characteristics, such as the processing characteristics required for the raw material and the strength required in the state of the raw material, are accurately obtained. Accurate acquisition of this characteristic information can suppress issues such as excessive quality, increased costs, excessive trial-and-error errors, and shorten the development and design period.

[0030] like Figure 1As shown, the system 100 of this embodiment includes a converter 1, a continuous casting machine 2, a heating furnace 3, an oxide scale crusher 4, a roughing mill 5, a finishing mill 6, an accelerated cooling device 7, a coiling device 8, a product steel strip 9, and a product information determination device 10. In the steel plate manufacturing process, iron ore, limestone, and coke are first charged into a blast furnace to generate molten pig iron. The pig iron tapped from the blast furnace is then subjected to compositional adjustments, such as carbon content, in the converter 1, and final compositional adjustments are made through secondary refining. In the continuous casting machine 2, the refined steel is cast to produce an intermediate material called a slab. The slab is then heated using a heating process in the heating furnace 3, and through a hot rolling process using the roughing mill 5 and the finishing mill 6, a cooling process using the accelerated cooling device 7, and a coiling device 8, product steel strip 9 is generated. Furthermore, the manufacturing process may appropriately include pickling, cold rolling, annealing, and plating processes after the cooling process. In summary, the system 100 of this embodiment manufactures steel plates based on product information determined by the product information determining device 10. Here, the product information includes the composition and manufacturing conditions used to manufacture the steel plates as raw materials.

[0031] Figure 2 This is a block diagram illustrating a product information determining apparatus 10 according to an embodiment of the present disclosure. The product information determining apparatus 10 includes a control unit 11, a storage unit 12, a communication unit 13, an input unit 14, and an output unit 15. In summary, the product information determining apparatus 10 obtains the material properties required to process the component based on input information including shape data and component strength of the component to be manufactured. Furthermore, the product information determining apparatus 10 determines product information including the composition and manufacturing conditions of raw materials used to manufacture materials that meet the material properties, based on a real-world database 121. The real-world database 121 is a database that establishes a correspondence between actual data of product information and actual data of material properties. For example, the real-world database 121 has records containing actual data of product information and actual data of material properties. The data stored in the real-world database 121 is collected by an appropriate method. For example, the data can be collected from the entire length of the roll or a portion of the roll. Furthermore, the data can be collected offline or online. When data is collected online, the required material properties can be measured directly or indirectly. For example, mechanical properties and aggregate structure can be determined by magnetic means, hardness testing, X-rays, neutron measurements, etc., and material characteristics can be obtained based on the results.

[0032] The control unit 11 includes at least one processor, at least one dedicated circuit, or a combination thereof. The processor is a general-purpose processor such as a CPU (central processing unit), or a dedicated processor specifically designed for particular processing. The dedicated circuit is, for example, a field-programmable gate array (FPGA) or an application-specific integrated circuit (ASIC). The control unit 11 controls the various parts of the product information determining device 10 and performs processing related to the operation of the product information determining device 10.

[0033] The storage unit 12 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or a combination of at least two of them. The semiconductor memory is, for example, RAM (random access memory) or ROM (read-only memory). RAM is, for example, SRAM (static random access memory) or DRAM (dynamic random access memory). ROM is, for example, EEPROM (electrically erasable programmable read-only memory). The storage unit 12 functions as, for example, a main storage device, an auxiliary storage device, or a cache memory. The storage unit 12 stores data used for the operation of the product information determination device 10, and data obtained through the operation of the product information determination device 10. For example, the storage unit 12 stores the aforementioned actual database 121.

[0034] The communication unit 13 includes at least one communication interface. This communication interface may be, for example, a LAN interface, a WAN interface, an interface corresponding to mobile communication standards such as LTE (Long Term Evolution), 4G (4th generation), or 5G (5th generation), or an interface corresponding to short-range wireless communication such as Bluetooth (registered trademark). The communication unit 13 receives data for the operation of the product information determining device 10 and transmits data obtained through the operation of the product information determining device 10.

[0035] The input unit 14 includes at least one input interface. The input interface may be, for example, a physical key, a capacitive key, a pointing device, a touchscreen integrated with the display, or a microphone. The input unit 14 accepts data input for the operation of the product information determining device 10. The input unit 14 may also replace the input included in the product information determining device 10 and be connected to the product information determining device 10 as an external input device. As a connection method, for example, any method such as USB (Universal Serial Bus), HDMI (High-Definition Multimedia Interface), or Bluetooth (registered trademark) can be used.

[0036] The output unit 15 includes at least one output interface. The output interface may be, for example, a display or a speaker. The display may be, for example, an LCD (liquid crystal display) or an organic EL (electroluminescence) display. The output unit 15 outputs data obtained through the operation of the product information determining device 10. The output unit 15 may also replace the product information determining device 10 and be connected to it as an external output device. As a connection method, for example, any method such as USB, HDMI (registered trademark), or Bluetooth (registered trademark) can be used.

[0037] The function of the product information determining device 10 is implemented by the processor, which corresponds to the control unit 11, executing the program of this embodiment. That is, the function of the product information determining device 10 is implemented by software. The program causes the computer to execute the actions of the product information determining device 10, thereby enabling the computer to function as the product information determining device 10. In other words, the computer functions as the product information determining device 10 by executing the actions of the product information determining device 10 according to the program.

[0038] In this embodiment, the program can be pre-recorded on a computer-readable recording medium. Computer-readable recording media include non-transitory computer-readable media, such as magnetic recording devices, optical discs, optical-magnetic recording media, or semiconductor memory. For example, the program can be distributed by selling, transferring, or lending portable recording media such as DVDs (digital versatile discs) or CD-ROMs (compact disc read-only memory) containing the program. Furthermore, the program can also be distributed by pre-storing it in the server's memory and sending the program from the server to other computers. The program can also be provided as a program product.

[0039] In this embodiment, the computer temporarily stores, for example, a program recorded on a portable recording medium or a program sent from a server, in the main storage device. The computer then reads the program stored in the main storage device using its processor and executes processing according to the read program. Alternatively, the computer can directly read the program from the portable recording medium and execute processing according to the program. The computer can also execute processing according to the received program sequentially each time it receives a program from the server. Alternatively, processing can be performed through a so-called ASP (Application Service Provider) type service, which functions solely by executing instructions and obtaining results, without sending the program from the server to the computer. The program contains information for computer processing and is program-based information. For example, data that, while not direct instructions to the computer, has the nature of specifying computer processing is equivalent to "program-based data."

[0040] Some or all of the functions of the product information determining device 10 can also be implemented by a dedicated circuit equivalent to the control unit 11. That is, some or all of the functions of the product information determining device 10 can also be implemented by hardware.

[0041] Next, the information processing performed by the product information determination device 10 according to one embodiment of the present disclosure will be described. Figure 3 This is a flowchart illustrating a method for determining product information according to one embodiment of the present disclosure.

[0042] First, information such as the shape data of the component is obtained from the product manufacturer (such as an automobile manufacturer) that requires the component (step S100). Specifically, the material manufacturer obtains accurate three-dimensional data from the product manufacturer, for example. The method for obtaining the three-dimensional data can be any method. For example, the product manufacturer can provide encrypted three-dimensional data to the material manufacturer. In this case, the product information determining device 10 has the function of decoding the encrypted three-dimensional data and deleting it immediately after the three-dimensional data is processed in step S200. By doing so, the three-dimensional data can be securely protected and concealed if it is unpublished data.

[0043] Next, the control unit 11 of the product information determination device 10 acquires input information including the shape data of the component (step S200). The control unit 11 acquires, for example, input information accepted based on an input operation from the input unit 14. The shape data of the component is, for example, three-dimensional data input received by the input unit 14. The three-dimensional data can be information designed using a CAD system, or data obtained by measuring the three-dimensional shape of a small model or a large physical model. The shape data can also be two-dimensional data. Furthermore, in this case, the shape data may also include plate thickness data. Additionally, it may also include component strength data (e.g., the yield strength of a component undergoing plastic deformation), which is, for example, strength data input received by the input unit 14.

[0044] Next, based on the acquired input information, the control unit 11 performs reverse calculations on the deformation process from the raw material to the shape of the component, thereby obtaining the material properties required to process the component (step S300). The material properties required to process the component include the mechanical properties of the sheet metal required to manufacture the component by stamping, specifically including properties related to plastic deformation. Properties related to plastic deformation include at least one of tensile strength, elongation, Lankford value, flexural properties, expansion ratio representing the extension flange, and ultimate bending radius. Furthermore, properties related to plastic deformation are not limited to these. In obtaining these material properties, linear models, regression models, neural networks, etc., can also be generated. In this case, the control unit 11 obtains the material properties required to process the component by inputting the input information into the model. Alternatively, if sufficient data relating to the input information and the material properties is available, the control unit 11 can also obtain the material properties corresponding to the input information through data retrieval processing. Furthermore, the material properties required to process the component may also include yield strength.

[0045] When there are multiple modes of solutions for material properties corresponding to input information, the control unit 11 obtains material properties based on the evaluation value (objective function). Figure 4This is a flowchart illustrating an example of the process for acquiring the characteristics of this situation. The control unit 11 divides the shape of the component from the 3D data into a mesh (step S311). The control unit 11 performs reverse calculations on the deformation process of the raw material to determine the rate of change during raw material processing. In other words, the control unit 11 reverses time by tracing back through a multi-stage stamping process to determine the rate of change during raw material processing. The "rate of change during raw material processing" is determined, for example, by the average rate of change of the distance between the mesh points of the component's shape divided into a mesh. Figure 5 This is a conceptual diagram of the rate of change. Figure 5 The diagram shows the change in distance between a given grid point and its diagonally opposite grid point after mesh division. Here, the distance before deformation is denoted as L, and the distance after deformation is denoted as L'. The rate of change of distance between these grid points is represented by L' / L. Furthermore, the rate of change during raw material processing can also be determined, for example, by averaging the rates of change of all adjacent grid points. (Refer to...) Figure 4 The control unit 11 acquires material properties that reduce the rate of change during raw material processing, specifically minimizing the rate of change during raw material processing (step S312). In other words, the control unit 11 acquires material properties based on the rate of change during raw material processing. By doing so, the solution to the material properties can be narrowed down to one.

[0046] Here, in Figure 4 In this process, the control unit 11 uses the rate of change during raw material processing as an evaluation value, but it is not limited to this. For example, in addition to the rate of change during raw material processing, the control unit 11 can also use the area of ​​the stamped blank as an evaluation value, and incorporate the reduction of the blank area, specifically minimizing the blank area, into the conditions. In other words, the control unit 11 can also obtain material properties based on the blank area. For example, if the minimum area of ​​the blank is determined, the rate of change of the outer perimeter is also determined. Therefore, in this case, the control unit 11 can further obtain the hole expansion rate. By calculating the hole expansion rate, the control unit 11 can obtain the solution that minimizes the change in the outer perimeter length of the blank.

[0047] Refer again Figure 3The control unit 11 determines product information (step S400) based on the actual database 121, including the composition and manufacturing conditions of raw materials that meet the material properties obtained in step S200. The material properties of the raw materials are determined based on the composition of the raw materials and the manufacturing conditions. The manufacturing conditions include processing conditions and heat treatment conditions. While yield strength and manufacturing conditions are not usually one-to-one, the composition and manufacturing conditions are uniquely determined by combining them with the material properties obtained in step S200. As described above, the actual database 121 establishes a correspondence between the actual data of the product information and the actual data of the material properties. The control unit 11 can derive the optimal solution (manufacturing information) for manufacturing the component based on the actual database 121. For example, the control unit 11 can create a predictive model based on the correlation between material properties and manufacturing information based on the actual database 121. The predictive model can employ a machine learning model based on a neural network model or deep learning. The control unit 11 performs backpropagation based on this predictive model to determine the product information. Furthermore, in generating the predictive model, the control unit 11 can improve the accuracy of the solution based on the predictive model by not using earlier data. In other words, during the generation of the prediction model, the control unit 11 can also improve the accuracy of the solution based on the prediction model by using only the data from a specified period prior. In the derivation of the solution using the prediction model, the contribution rate (coefficient) of each material property can also be appropriately set.

[0048] Furthermore, based on the manufacturing information determined by the control unit 11, the system 100 controls the converter 1, continuous casting machine 2, heating furnace 3, roughing mill 5, finishing mill 6, accelerated cooling device 7, and coiling device 8 to manufacture steel plates for components (step S500). For example, the control unit 11 can also send the determined manufacturing information to the converter 1, continuous casting machine 2, heating furnace 3, roughing mill 5, finishing mill 6, and accelerated cooling device 7 via the communication unit 13. The converter 1, continuous casting machine 2, heating furnace 3, roughing mill 5, finishing mill 6, and accelerated cooling device 7 manufacture steel plates for components based on the received manufacturing information.

[0049] Thus, the product information determining apparatus 10 according to one embodiment of the present disclosure can obtain the material properties required for the raw materials of the component based on input information including the shape data of the component. Furthermore, the product information determining apparatus 10 can determine product information based on the actual database 121, including the composition and manufacturing conditions of the raw materials used to manufacture materials that satisfy the obtained material properties. In other words, the product information determining apparatus 10 according to one embodiment of the present disclosure can derive the required material properties based on the shape of the component and determine the manufacturing conditions of the raw materials that satisfy those material properties. Here, the product information determining apparatus 10 obtains the material properties required for the raw materials of the component from the input information including the shape data of the component and determines product information for satisfying those material properties. Therefore, the product information determining apparatus 10 according to one embodiment of the present disclosure can suppress products with excessive characteristics (e.g., strength, elongation, extended flange properties), suppress the overuse of raw materials, and achieve cost reduction. In addition, the product information determining apparatus 10 according to one embodiment of the present disclosure, since it obtains the required material properties from input information including the shape data of the component obtained, for example, from a manufacturer, can suppress excessive trial-and-error.

[0050] Furthermore, this embodiment shows an example of system 100 being used by a material manufacturer, but it is not limited to this. For example, system 100 can also be used by a product manufacturer. Or system 100 can be used jointly by a product manufacturer and a material manufacturer. In either case, it is possible to prevent the product from becoming over-specificated, to prevent the overuse of raw materials, etc., thereby reducing costs. In addition, it is possible to suppress excessive trial and error.

[0051] Here, the material properties obtained in step S200 may not include yield strength. In other words, the product information determining device 10 may not obtain yield strength in step S200. In this case, the product information determining device 10 uses component strength in addition to material properties to determine manufacturing information in step S300. In other words, in step S300, the product information determining device 10 may also process the yield strength of the raw material calculated based on the yield strength of the component to determine manufacturing information.

[0052] Here, when steel is smelted with a specified composition ratio, not all components may reach the expected values. This is because the raw materials may contain components other than the target as impurities. Therefore, the system 100 can appropriately update the manufacturing conditions during the manufacturing process in step S400. This update process can correct deviations in mechanical properties caused by the difference between the calculated optimal composition and the actual composition. Specifically, the product information determining device 10 uses the actual composition after composition adjustment as input information and determines the manufacturing conditions based on the actual database 121 as output information. For example, the system 100 can also perform this update process when the actual composition after composition adjustment changes by more than a specified threshold (e.g., more than 1%) relative to the composition determined in step S300.

[0053] Furthermore, in step S400, when manufacturing steel sheets through two or more processes, by using the actual composition of the previous process or the characteristics of intermediate products as input to obtain the processing heat treatment conditions for the next process, it is possible to manufacture steel sheets with target mechanical properties with higher precision. For example, in the case of manufacturing cold-rolled steel sheets, the annealing temperature after cold rolling can also be determined based on the composition and the actual hot rolling process.

[0054] Regarding the specific composition, steel will be used as an example for explanation below. Unless otherwise specified, "%" in the following explanation refers to "mass %". The composition of the steel is not specifically limited, but it is preferable to contain, by mass %: C 0.0005% to 1%, Si 0.005% to 3%, Mn 0.1% to 30%, P less than 0.07%, S less than 0.01%, Al less than 3%, and N less than 0.01%. Furthermore, at least one of Ti, Nb, V, Ni, Cu, Mo, Cr, Sn, and Sb may be added depending on the purpose. The purpose of adding them is to improve corrosion resistance, chemical conversion treatment properties, and weldability, etc. Composition adjustment can be performed in a converter 1 or an electric furnace. Casting can be casting into ingots or continuous casting. The slab thickness can also be appropriately selected from 300 mm to 30 mm. Regarding hot rolling, the slab can be heated, or rolling can be performed directly without cooling to room temperature after casting, with additional heating for homogenization and reheating to the preferred rolling temperature. The coiling temperature after hot rolling can be between 300°C and 800°C. The hot-rolled sheet can be pickled and finished to become a hot-rolled sheet product. Pickled sheets can also be produced as products through cold rolling, and annealing or heat treatment (heat and cool) can be performed after cold rolling. The resulting cold-rolled sheet can also be shaped through temper rolling and straightening. An annealing process can also be included after hot rolling. Annealing of hot-rolled sheets and after cold rolling can be either box annealing or continuous annealing. The steel sheet surface can be galvanized or electro-galvanized using conventional processes, or a combination of these processes can be performed. The component amounts of each component in the preferred composition described above will be explained.

[0055] •C: Less than 1%

[0056] C is an element used to control the strength of steel. If the C content exceeds 1%, cementite will precipitate coarsely at the grain boundaries, reducing formability. Therefore, the upper limit for the C content is set below 1%.

[0057] Si: less than 3%

[0058] Si is added to suppress cementite precipitation or to refine cementite. If the Si content exceeds 3%, it will cause embrittlement and reduce formability; therefore, the upper limit of Si content is set to below 3%.

[0059] Mn: below 30%

[0060] Mn acts as a hardenability element, suppressing the precipitation of coarse cementite. Adding more than 5% results in a higher residual γ content, thus improving ductility. However, if the Mn content exceeds 30%, formability actually decreases; therefore, the upper limit for Mn content is set below 30%.

[0061] • P: below 0.07%

[0062] P makes steel embrittled. Therefore, the upper limit for P content is set at below 0.07%.

[0063] •S: less than 0.01%

[0064] S forms MnS, which degrades formability. Therefore, the upper limit of S content is set at 0.01%.

[0065] • A1: Below 3%

[0066] Al improves formability by fixing N to AlN. Adding large amounts of Al can also form residual γ, further improving formability. On the other hand, if the Al content exceeds 3%, embrittlement occurs due to the formation of intermetallic compounds; therefore, the upper limit for Al content is set below 3%.

[0067] • N: less than 0.01%

[0068] If nitrogen (N) is dissolved in steel, its formability decreases. Furthermore, if a large amount of N is present, it will form a large amount of nitrides such as AlN, further reducing formability. Therefore, the upper limit for N content is set at 0.01% or less.

[0069] • Ti: less than 0.5%

[0070] Ti forms carbides and nitrides, increasing the strength of steel. However, if the content exceeds 0.5%, coarse precipitates are formed, reducing formability. Therefore, the upper limit for Ti content is set at 0.5% or less.

[0071] • Nb: below 0.5%

[0072] Nitrogen (Nb) forms carbides and nitrides, increasing the strength of steel. However, if the content exceeds 0.5%, it forms coarse precipitates, reducing formability. Therefore, the upper limit for Nb content is set at 0.5% or less.

[0073] • V: Below 3%

[0074] V forms carbides and nitrides, increasing the strength of steel. However, if the content exceeds 3%, coarse precipitates are formed, reducing formability. Therefore, the upper limit for V content is set at 3% or less.

[0075] ·Mo: 1% or less

[0076] Mo can be added to increase strength and suppress cementite precipitation. However, if more than 1% is added, the formability will decrease due to coarse Mo carbides. Therefore, the upper limit of Mo content is set to below 1%.

[0077] ·Cr: below 40%

[0078] Cr can be added to improve corrosion resistance. However, if the content exceeds 40%, an embrittlement layer of the σ phase will precipitate, reducing formability. Therefore, the upper limit for Cr content is set below 40%.

[0079] Ni: 20%

[0080] Ni can also be added to improve corrosion resistance. However, if the Ni content exceeds 20%, the formability will decrease due to the formation of intermetallic compounds, so the upper limit of Ni content is set to below 20%.

[0081] (Example)

[0082] The following describes the processing of one embodiment of the present disclosure, but the present disclosure is not limited to this embodiment. Figure 6 This section outlines the processing of a system according to an embodiment of the present disclosure. Here, the system refers to the case of manufacturing components using steel sheets as raw materials. Figure 6 In addition to the structure of the system 100 described above, the system also includes a device for stamping steel plates.

[0083] First, in the characteristic calculation step S610, the system performs characteristic simulation based on component information (step S611) to determine component strength (step S612). For example, the characteristic simulation includes collision deformation simulation, which can determine component strength. The system acquires plate thickness, component strength, and shape data as input information (step S613), and determines the material properties of the steel plate based on this input information (step S614). In the next product information determination step S620, the system determines product information based on the actual database 121, including the composition and manufacturing conditions of raw materials used to manufacture materials that meet the material properties obtained in step S614. In the next steel plate manufacturing step S630, the system 100 taps and melts the molten steel, which has been adjusted in composition based on the determined product information (step S631). Next, the system 100 performs rolling and heat treatment based on the determined product information to manufacture the steel plate (step S632). In step S632, if the actual composition after composition adjustment differs from the composition determined in step S620 by more than 1%, the system uses the actual composition after composition adjustment, based on the actual database 121, to update the rolling and / or heat treatment conditions, and manufactures a steel sheet (step S632). Then, for processing by the product manufacturer using the component, the manufactured steel sheet undergoes stamping and welding processes (step S640), thus completing the component (step S650).

[0084] This disclosure has been described with reference to the accompanying drawings and embodiments. However, it should be noted that those skilled in the art can easily make various modifications and alterations based on this disclosure. Therefore, it is intended that such modifications and alterations are included within the scope of this disclosure. For example, the functions included in each structure or step can be reconfigured logically without contradiction, and multiple structures or steps can be combined into one or divided.

[0085] For example, in this disclosure, the composition is determined considering the mechanical properties in stamping, but data on the corrosion resistance and chemical conversion treatment properties of the composition combination can also be used. In other words, in the step of determining product information, in addition to material properties, product information that meets the additional properties required for the part can also be determined. By doing so, a balance of conflicting properties can also be obtained. That is, it is possible to prevent a situation where the part can be stamped but the additional properties (such as chemical conversion treatment properties) cannot be met, resulting in a defective product.

[0086] Explanation of reference numerals in the attached figures

[0087] 100…System; 1…Converter; 2…Continuous casting machine; 3…Heating furnace; 4…Scale crusher; 5…Roughing mill; 6…Finishing mill; 7…Accelerated cooling device; 8…Coiling device; 9…Product steel strip; 10…Product information determination device; 11…Control unit; 12…Storage unit; 121…Actual database; 13…Communication unit; 14…Input unit; 15…Output unit.

Claims

1. A method for determining product information, characterized in that, include: The characteristic acquisition step involves acquiring the material characteristics required to process the raw materials of the component into the component based on input information including the shape data of the component. and The product information determination step determines product information including the composition and manufacturing conditions used to manufacture raw materials that satisfy the material properties obtained in the characteristic acquisition step. The characteristic acquisition step obtains the material characteristics required for processing the component by performing a reverse calculation on the deformation process from the raw material to the shape of the component, and by performing the material characteristic acquisition calculation in a way that reduces the rate of change during the processing of the raw material. The rate of change during raw material processing is determined by the average rate of change of the distance between the grid points of the component, which are divided into a grid.

2. The product information determination method according to claim 1, characterized in that, It also includes the step of obtaining the input information from the product manufacturer.

3. The product information determination method according to claim 1 or 2, characterized in that, The product information determination step includes a product information determination step in which, based on the material properties of the raw materials obtained in the property acquisition step, product information is determined, including the composition and manufacturing conditions for manufacturing the raw materials that meet each material property.

4. The product information determination method according to claim 1 or 2, characterized in that, In the product information determination step, the product information is determined based on an actual database that stores product information including components and manufacturing conditions corresponding to material properties.

5. The product information determination method according to claim 1 or 2, characterized in that, In the characteristic acquisition step, the material characteristic acquisition calculation is performed in a manner that reduces the blank area during the processing of the raw material.

6. The product information determination method according to claim 1 or 2, characterized in that, The material properties include properties related to plastic deformation and yield strength.

7. The product information determination method according to claim 1 or 2, characterized in that, In the product information determination step, the product information is determined based on the yield strength of the raw material calculated from the component strength.

8. The product information determination method according to claim 1 or 2, characterized in that, The input information includes the plate thickness.

9. The product information determination method according to claim 1 or 2, characterized in that, In the product information determination step, the product information is determined by reverse analysis based on a prediction model formed by the correlation between material properties, composition and manufacturing conditions.

10. The product information determination method according to claim 1 or 2, characterized in that, In the product information determination step, in addition to the material properties, product information that meets the additional performance requirements of the component is also determined.

11. A method for manufacturing a plate, characterized in that, The board is manufactured based on the product information determined by the product information determination method according to claim 1 or 2.

12. The manufacturing method according to claim 11, characterized in that, The plate is a metal plate.

13. The manufacturing method according to claim 12, characterized in that, The metal plate is a steel plate.

14. A system, characterized in that, The plate is manufactured using the manufacturing method described in claim 11.

15. A product information determining device, comprising a control unit, characterized in that, Based on input information including the shape data of the component, the control unit acquires the material properties required to process the raw materials of the component into the component, and determines product information including the composition and manufacturing conditions for manufacturing the raw materials that meet the material properties. The desired material properties are obtained by performing reverse calculations on the deformation process from raw material to the shape of the component, and by performing material property acquisition calculations in a manner that reduces the rate of change during the processing of the raw material. The rate of change during raw material processing is determined by the average rate of change of the distance between the grid points of the component, which are divided into a grid.

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