Manufacturing method, manufacturing apparatus, manufacturing system, and storage medium
Patent Information
- Application Number
- CN202210214519.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2021-08-26
- Filing Date
- 2022-03-07
- Publication Date
- 2026-09-01
- Estimated Expiration
- 2042-03-07
AI Technical Summary
[0006]发明所要解决的问题:
Smart Images

Figure CN115935580B_ABST
Abstract
Description
Technical Field
[0001] The embodiments of the present invention relate to manufacturing methods, manufacturing apparatus, manufacturing systems, and storage media. Background Technology
[0002] In production, heat treatment processes that utilize thermal activation may be performed. The heat treatment conditions in these processes are preferably more efficient.
[0003] Existing technical documents:
[0004] Patent documents:
[0005] Patent Document 1: Japanese Patent Application Publication No. 2017-167663 Summary of the Invention
[0006] The problem that the invention aims to solve:
[0007] The problem to be solved by the present invention is to provide a method, apparatus, system and storage medium for creating more efficient heat treatment conditions.
[0008] The means used to solve the problem:
[0009] In the manufacturing method described in the embodiment, a master curve representing the relationship between the reaction progress and the heat treatment conditions is generated using the thermal analysis results of the component. In this manufacturing method, first data related to the first heat treatment conditions is generated using a first heat treatment condition representing the relationship between time and temperature and the master curve. In this manufacturing method, a second heat treatment condition representing the relationship between time and temperature is calculated using the master curve and the target conditions for heat treatment. Attached Figure Description
[0010] Figure 1 This is a flowchart illustrating the manufacturing method involved in the implementation.
[0011] Figure 2 These are charts illustrating the results of thermal analysis.
[0012] Figure 3 This is a chart illustrating the main curve.
[0013] Figure 4 (a) is a diagram illustrating heat treatment conditions. Figure 4 (b) is an example Figure 4 (a) A graph showing the reaction behavior under heat treatment conditions.
[0014] Figure 5 (a) is a diagram illustrating the response behavior created using the target condition and the constraint condition. Figure 5 (b) is an example of... Figure 5 (a) is a graph showing the reaction behavior and the corresponding heat treatment conditions.
[0015] Figure 6 This is a schematic diagram illustrating the manufacturing system involved in the implementation method.
[0016] Figure 7 This is a schematic diagram illustrating the user interface in the manufacturing apparatus according to the embodiment.
[0017] Figure 8 This is a schematic diagram illustrating the user interface in the manufacturing apparatus according to the embodiment.
[0018] Figure 9 This is a schematic diagram showing the hardware structure.
[0019] Explanation of reference numerals in the attached figures:
[0020] 1: Manufacturing apparatus; 2: Analytical apparatus; 3: Storage device; 4: Input device; 5: Output device; 10: Manufacturing system; 90: Computer; 101: First heat treatment conditions; 102: First reaction behavior; 103: Second heat treatment conditions; 104: Second reaction behavior; 105 and 106: Fractions; 110: Delineated area; 111: Pointer; M1: Manufacturing method Detailed Implementation
[0021] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In this specification and the accompanying drawings, elements that are the same as those already described are labeled with the same reference numerals, and detailed descriptions are omitted where appropriate.
[0022] Figure 1 This is a flowchart illustrating the manufacturing method involved in the implementation.
[0023] The manufacturing method described in the implementation method is used to create heat treatment conditions. For example... Figure 1 As shown, the manufacturing method M1 according to the embodiment includes steps S1 to S7. First, a thermal analysis is performed on the heat-treated object (step S1). The characteristics of the object relative to temperature changes are recorded during the thermal analysis. For example, as characteristics, the rate of change of thermogravimetric mass, the rate of thermal shrinkage, the modulus of elasticity, or the change in heat flow are recorded. The rate of change of thermogravimetric mass can be measured by a thermogravimetric measuring device. The rate of thermal shrinkage can be measured by a thermal shrinkage measuring device or a thermomechanical analysis device. The modulus of elasticity can be measured by a dynamic thermomechanical analysis device. The change in heat flow can be measured by a differential scanning calorimeter. The thermal analysis is performed on two or more different temperature profiles.
[0024] Temperature profiles represent temperature changes relative to time. For example, multiple temperature profiles with different heating rates can be used in thermal analysis. Similarly, multiple temperature profiles with different cooling rates can also be used.
[0025] Figure 2 These are charts illustrating the results of thermal analysis.
[0026] exist Figure 2 In the graph, the horizontal axis represents time t, and the vertical axis represents the rate of weight change w. Values in arbitrary units are marked on both axes. The graph shows the thermal analysis results when the component was heated under three different heating conditions with varying heating rates. Figure 2 In the examples, the rate of weight change with respect to time differs for each heating condition. Furthermore, the higher the heating rate, the greater the rate of weight change with respect to time.
[0027] The master curve is generated using the thermal analysis results (step S2). The master curve is a function representing the relationship between the reaction progress and the heat treatment conditions. In one embodiment, the master curve is expressed by the following Equation 1. In Equation 1, x is the reaction progress. t is time. T is temperature. Q is activation energy. R is the gas constant. Θ(t, T) is a function with time t and temperature T as variables. Θ(t, T) is a quantification of the heat treatment conditions, accumulated from the start of heat treatment to any time t and temperature T.
[0028] Formula 1:
[0029]
[0030] In Equation 1, m and n are variables set according to the phenomena produced during heating. Examples of phenomena that may occur during heating include chemical reactions, atomic diffusion, sintering, and drying. Chemical reactions include combination and decomposition. Atomic diffusion includes carburizing, ion implantation, and sintering of components joined at temperatures below their melting point. As another example, atomic diffusion is the diffusion of atoms from the solid surface to the interior during the formation of alloys or compounds. Examples of processes that produce diffusion from the solid surface to the interior include thermal oxidation and sulfidation. Drying includes volatilization and sublimation. When creating a master curve for chemical reactions or drying, m and n are set to "0". When creating a master curve for diffusion on the solid surface during atomic diffusion, m is set to "0" and n is set to "-1 / 2". When creating a master curve for sintering, m is set to "-1" and n is set to "0".
[0031] The master curve can be constructed using well-known master sintering curve theory. In general, first, thermal analysis results are obtained under various heating conditions, and the characteristic changes are plotted against Θ(t, T). Figure 2In the example shown, the characteristic is the rate of change of weight. For plots with different temperature curves, the Q value that minimizes the distance between each plot is calculated. This yields a single curve representing the relationship between Θ(t, T) and the characteristic. This curve is the master curve.
[0032] Figure 3 This is a chart illustrating the main curve.
[0033] exist Figure 3 In the graph, the horizontal axis represents logΘ(t, T), and the vertical axis represents the rate of change of weight w. Values in arbitrary units are labeled on both axes. The graph shows a portion of the analytical results under three heating conditions with different heating rates, as well as the overall average of the analytical results. Figure 3 It can be seen that the characteristic changes under different heating conditions converge into a single curve.
[0034] Applying the master curve to the existing heat treatment conditions (first heat treatment conditions), the reaction progress under the first heat treatment conditions is calculated (step S3). As described above, the master curve represents the relationship between the reaction progress and the heat treatment conditions. The change of temperature T relative to time t is defined in the heat treatment conditions. By using the master curve, the heat treatment conditions can be converted into a reaction progress. The reaction progress represents the extent of the reaction relative to time and temperature. Furthermore, the reaction behavior representing the change of reaction progress relative to time is obtained from the converted reaction progress.
[0035] Figure 4 (a) is a diagram illustrating heat treatment conditions. Figure 4 (b) is an example Figure 4 (a) A graph showing the reaction behavior under heat treatment conditions.
[0036] exist Figure 4 In (a), the horizontal axis represents time t, and the vertical axis represents temperature T. Figure 4 In (b), the horizontal axis represents time t, and the vertical axis represents the reaction rate v. The reaction rate v can be calculated from the reaction progress and represents the change in the reaction progress relative to time. Values in arbitrary units are marked on the horizontal and vertical axes.
[0037] Through Figure 4 The master curve is applied under the heat treatment conditions shown in (a) to obtain... Figure 4 (b) shows the reaction behavior (first reaction behavior). Figure 4 In the example shown in (b), two peaks in the reaction rate v occur, indicating the occurrence of two reactions. In cases where multiple reactions occur, master curves are plotted for each reaction, and multiple master curves are used to convert the heat treatment conditions into reaction behavior.
[0038] Obtain first data from the reaction behavior (step S4). For example, the first data is a score representing an evaluation of the first reaction behavior. The score S can be calculated using the following equations 2 and 3. In equations 2 and 3, n is the number of reactions that occur under the heat treatment conditions. i This is the fraction for the i-th reaction. t i This refers to the processing time for the i-th reaction. t ideal This refers to the processing time under ideal conditions for the i-th reaction. A i It is the area of the i-th reaction in the graph. That is, A i It is the integral value of the reaction rate v relative to time t for the i-th reaction. i It is the maximum value of the reaction rate v for the i-th reaction.
[0039] Formula 2:
[0040]
[0041] Formula 3:
[0042]
[0043] For example, the more effectively the reaction occurs, the higher the score. Users can use the score to determine the extent to which the reaction occurred effectively under the first heat treatment conditions. Alternatively, t can be calculated based on the behavior of the first reaction. i V i A i Equivalent values are used as primary data. These values can be utilized when the user sets the constraints or target conditions described later. Alternatively, the primary data can also be the reaction behavior itself obtained from existing heat treatment conditions. From the reaction behavior, the progress of the reaction at each time point can be confirmed, and the extent to which the reaction proceeds effectively at each time point can be determined. As primary data, scores can also be obtained from t... i V i and A i Select one or more data points, and the reaction behavior.
[0044] Set the target conditions for the heat treatment (step S5). The target conditions represent the objectives for the generated reaction behavior. Based on the target conditions, parameters that are minimized, maximized, or close to the desired value are determined. As target conditions, conditions related to the reaction process, time-related conditions, etc., are set. For example, as target conditions related to the reaction process, equalization of reaction rates, separation of two or more reactions, etc., are set. Regarding equalization, a baseline reaction rate is set. The reaction rates are equalized to minimize the difference between the reaction rates relative to the baseline. As time-related conditions, minimizing the processing time, etc., is set. Two or more target conditions can also be set.
[0045] Further constraints can be set for the heat treatment. These constraints represent limitations on the reaction behavior, and the parameters that must be satisfied are determined based on these constraints. Constraints can be set for conditions related to the reaction, temperature, time, etc. For example, as a constraint related to the reaction, an upper limit on the reaction rate can be set. As a temperature-related constraint, a maximum temperature and heating rate can be set. As a time-related constraint, an upper limit on the processing time can be set. Two or more constraints can also be set.
[0046] When setting target conditions or constraints, users can also refer to the initial data obtained from the first reaction behavior. For example, the initial data includes the maximum reaction speed. Users use the maximum reaction speed as a reference to set a baseline value for equalizing reaction speeds.
[0047] Using the pre-set target conditions, create a reaction behavior (second reaction behavior) that conforms to those target conditions (step S6). If constraints are set, create a second reaction behavior that satisfies those constraints. Furthermore, if a reaction behavior that satisfies the constraints cannot be created, input another target condition or another constraint. By applying the master curve to the second reaction behavior, convert the second reaction behavior into the corresponding heat treatment conditions (second heat treatment conditions) (step S7).
[0048] Figure 5 (a) is a diagram illustrating the response behavior created using the target condition and the constraint condition. Figure 5 (b) is an example of... Figure 5 (a) is a graph showing the reaction behavior and the corresponding heat treatment conditions.
[0049] Figure 5 (a) is an example of a reaction behavior that has been created. Figure 5 (b) is in Figure 5 (a) shows an example of heat treatment conditions obtained by applying the master curve to the reaction behavior. Figure 5 In (a), the horizontal axis represents time t, and the vertical axis represents the reaction rate v. Figure 5 In (b), the horizontal axis represents time t, and the vertical axis represents temperature T. Values in arbitrary units are marked on both the horizontal and vertical axes. Furthermore, in... Figure 5 In (a), the dashed line indicates Figure 4 The reaction behavior is shown in (b). Figure 5 In (b), the dashed line indicates... Figure 4 (a) shows the heat treatment conditions.
[0050] from Figure 5(b) It can be seen that, under the newly prepared second heat treatment conditions, the overall treatment time is shortened by time t1 compared to the existing first heat treatment conditions. Furthermore, from... Figure 5 (a) It can be seen that under the second heat treatment condition, the maximum reaction rate decreases by a value v1 compared to the first heat treatment condition. The reduction in treatment time indicates improved reaction efficiency, which is related to increased productivity. The decrease in the maximum reaction rate is related to a reduction in the load on the product or a reduction in the load on auxiliary equipment that treats the waste gas generated during heat treatment.
[0051] The advantages of the implementation method will be explained.
[0052] In production, heat treatment processes that utilize thermal activation may be performed. These processes include chemical reactions, atomic diffusion, sintering, and drying. Previously, the relationship between time and temperature in heat treatment processes was determined based on experience and repeated experimental results. In these conventional methods, it was difficult to detect waste in heat treatment conditions. Furthermore, the impact of changes in heat treatment conditions on reaction behavior was difficult to predict, making optimization of heat treatment conditions challenging.
[0053] Regarding this issue, in the implementation method, a master curve is used in the creation of heat treatment conditions. The master curve represents the relationship between the reaction progress and the heat treatment conditions. By creating a master curve, it is possible to understand how the reaction is occurring in the component to be treated. Using the created master curve and the target conditions for heat treatment, more efficient heat treatment conditions can be created. Furthermore, by applying the master curve to existing heat treatment conditions, waste associated with existing heat treatment conditions can be identified, or useful data can be obtained when creating new heat treatment conditions. According to the implementation method, data related to existing heat treatment conditions can be obtained, and more efficient heat treatment conditions can be created.
[0054] Equation 1 is used in the master curve. According to Equation 1, by setting parameters according to the phenomena, it is possible to correspond to the four phenomena of chemical reaction, atomic diffusion, sintering, and drying. Therefore, the method involved in the implementation can correspond to a wider range of thermal activation processes.
[0055] Furthermore, in the method described in the implementation, even when multiple reactions occur in the object component during heat treatment, appropriate heat treatment conditions can be created by calculating the activation energy of each reaction and generating a master curve.
[0056] Furthermore, in the above manufacturing method, the master curve is applied to the first heat treatment conditions in order to obtain an evaluation of the existing first heat treatment conditions and to obtain data that can be used in setting target conditions or constraint conditions. When evaluation or usable data is not required, the application of the master curve to the first heat treatment conditions can be omitted.
[0057] The methods involved in the implementation can be performed by a person or by a device, and at least a portion of the methods can be performed.
[0058] Figure 6 This is a schematic diagram illustrating the manufacturing system involved in the implementation method.
[0059] Manufacturing system 10 is used for creating heat treatment conditions, such as... Figure 6 As shown, it includes a manufacturing device 1, an analysis device 2, a storage device 3, an input device 4, and an output device 5.
[0060] Manufacturing apparatus 1 performs various processes related to the fabrication of heat treatment conditions. Analysis apparatus 2 performs thermal analysis related to the object component. Storage apparatus 3 appropriately stores data used in the fabrication of heat treatment conditions, as well as data obtained from the processes of manufacturing apparatus 1. Input apparatus 4 is used by the user to input data into manufacturing apparatus 1. Output apparatus 5 outputs data sent from manufacturing apparatus 1 to an external device.
[0061] First, the analysis device 2 performs thermal analysis. The analysis device 2 can also perform thermal analysis automatically according to instructions sent from the manufacturing device 1. The conditions for performing thermal analysis are preset by the user. The manufacturing device 1 obtains the thermal analysis results from the analysis device 2. For example, the manufacturing device 1 receives the thermal analysis results from the analysis device 2. Alternatively, the thermal analysis results can be stored in a storage medium, from which the manufacturing device 1 retrieves the results. The user can also transfer the thermal analysis results from the analysis device 2 to the manufacturing device 1.
[0062] The fabrication apparatus 1 uses the thermal analysis results to generate a master curve. Furthermore, the fabrication apparatus 1 accepts input of existing first heat treatment conditions. These first heat treatment conditions can be input using the input device 4 or stored in the storage device 3. The fabrication apparatus 1 uses the first heat treatment conditions and the master curve to generate first data, and outputs this first data to the output device 5.
[0063] The user inputs the target conditions or constraints using input device 4. Alternatively, the manufacturing device 1 can automatically set the target conditions or constraints according to pre-set rules and based on the first data. The manufacturing device 1 uses the master curve, target conditions, and constraints to generate the reaction behavior. The manufacturing device 1 uses the master curve to convert the reaction behavior into heat treatment conditions. The manufacturing device 1 outputs the converted heat treatment conditions to output device 5 and stores them in storage device 3.
[0064] Figure 7 and Figure 8 This is a schematic diagram showing the user interface of the manufacturing apparatus according to the embodiment.
[0065] For example, output device 5 is a monitor. Figure 7As shown, the fabrication apparatus 1 displays a user interface (UI) 100. To improve user convenience, it is preferable that the fabrication apparatus 1 displays existing conditions, a score for the first heat treatment condition, and a new condition on the UI 100. Existing conditions are the existing first heat treatment condition and one or two selected from the first reaction behaviors corresponding to that first heat treatment condition. New conditions are the newly fabricated second reaction behavior and one or two selected from the second heat treatment conditions corresponding to that second reaction behavior. For example, the fabrication apparatus 1 displays existing conditions, a score, and a new condition on the UI 100 in response to the input of thermal analysis results, the first heat treatment condition, and the target condition.
[0066] exist Figure 7 In the example, UI 100 displays the first heat treatment condition 101, the first reaction behavior 102, the second heat treatment condition 103, the second reaction behavior 104, the score of the first heat treatment condition 105, and the score of the second heat treatment condition 106. Based on these displays, users can easily understand the level of efficiency of the first heat treatment condition and the degree to which the second heat treatment condition is more efficient relative to the first heat treatment condition.
[0067] You can also input target conditions and constraints by depicting the reaction behavior on the UI. For example, such as Figure 8 As shown, the production device 1 displays a drawing area 110 on the UI 100. The user uses the input device 4 to operate the pointer 111 to draw a reaction behavior in the drawing area 110. The production device 1 accepts the drawn reaction behavior. The production device 1 calculates target conditions and constraints from the input reaction behavior. For example, the production device 1 calculates the processing time and maximum reaction speed from the input reaction behavior, and sets target conditions and constraints based on these values.
[0068] When describing the reaction behavior, it is preferable to... Figure 7 The existing conditions are displayed as shown. Therefore, even users with little experience or knowledge can easily describe the reaction behavior by referring to the existing conditions.
[0069] When the phenomena occurring during heat treatment are known, parameters m and n in Equation 1 can be set when generating the master curve. When the phenomena are unknown, the generating apparatus 1 can automatically set parameters m and n that best suit the thermal analysis results. For example, the generating apparatus 1 substitutes the values of the three combinations mentioned above into parameters m and n respectively. The generating apparatus 1 determines the combination of values that best represents the thermal analysis results and generates the master curve using this combination of values.
[0070] Figure 9 This is a schematic diagram showing the hardware structure.
[0071] Manufacturing apparatus 1 includes, for example, Figure 9 The computer 90 shown is structurally complete. The computer 90 includes a CPU 91, ROM 92, RAM 93, storage device 94, input interface 95, output interface 96, and communication interface 97.
[0072] ROM 92 stores the program that controls the operation of computer 90. ROM 92 contains the programs necessary for computer 90 to perform the aforementioned processes. RAM 93 functions as a storage area for the programs stored in ROM 92 to be expanded.
[0073] CPU 91 includes processing circuitry. CPU 91 uses RAM 93 as its working memory and executes programs stored in at least one of ROM 92 or storage device 94. During program execution, CPU 91 controls various structures via system bus 98 to perform a wide range of processes.
[0074] Storage device 94 stores data required for the execution of a program or data obtained by the execution of a program.
[0075] The input interface (I / F) 95 connects the computer 90 and the input device 95a. The input I / F 95 is, for example, a serial bus interface such as USB. The CPU 91 can read various data from the input device 95a via the input I / F 95.
[0076] Output interface (I / F) 96 connects computer 90 and output device 96a. Output I / F 96 is, for example, a video output interface such as Digital Visual Interface (DVI) or High-Definition Multimedia Interface (HDMI). CPU 91 can send data to output device 96a via output I / F 96 and display images on output device 96a.
[0077] The communication interface (I / F) 97 connects the external server 97a to the computer 90. The communication I / F 97 is, for example, a network card such as a LAN card. The CPU 91 can read various data from the server 97a via the communication I / F 97.
[0078] Storage device 94 includes one or more selected from Hard Disk Drive (HDD) and Solid State Drive (SSD). Input device 95a includes one or more selected from mouse, keyboard, microphone (voice input), and touchpad. Output device 96a includes one or more selected from monitor and projector. A device that functions as both input device 95a and output device 96a can also be used, such as a touchpad. Storage device 94, input device 95a, and output device 96a can be used as storage device 3, input device 4, and output device 5, respectively.
[0079] The functions of the production apparatus 1 can also be achieved through the collaboration of multiple computers. The processing of the various data described above can also be recorded as a program that can be executed by a computer on a disk (floppy disk and hard disk, etc.), optical disk (CD-ROM, CD-R, CD-RW, DVD-ROM, DVD±R, DVD±RW, etc.), semiconductor memory, or other non-transitory computer-readable storage medium.
[0080] For example, information recorded on a recording medium can be read by a computer (or embedded system). The recording format (storage format) on the recording medium is arbitrary. For example, a computer reads a program from a recording medium, and the CPU executes the instructions described in the program based on that program. In a computer, programs can also be retrieved (or read) via a network.
[0081] Based on the manufacturing method, apparatus, and system described above, more efficient heat treatment conditions can be created. The same effect can be achieved by using a program on a computer to execute the manufacturing method.
[0082] The implementation method includes the following features.
[0083] (Feature 1)
[0084] One manufacturing method, wherein,
[0085] Using the thermal analysis results of the components, a master curve representing the relationship between the reaction progress and the heat treatment conditions was constructed.
[0086] Using the first heat treatment conditions representing the relationship between time and temperature and the master curve, first data related to the first heat treatment conditions are generated.
[0087] Using the master curve and the target conditions for heat treatment, calculate the second heat treatment conditions that represent the relationship between time and temperature.
[0088] (Feature 2)
[0089] In the manufacturing method described in feature 1, the second heat treatment conditions are further calculated using the constraints on the heat treatment.
[0090] (Feature 3)
[0091] In the manufacturing method described in feature 1 or 2
[0092] Using the master curve, the first heat treatment conditions are converted into a first reaction behavior representing the change in reaction progress relative to time.
[0093] Using the first data, a score representing the evaluation of the first reaction behavior is calculated.
[0094] (Feature 4)
[0095] In any of the manufacturing methods described in features 1 to 3,
[0096] The master curve includes parameters corresponding to at least one of a plurality of phenomena that may occur during heat treatment.
[0097] When one of the phenomena is selected, the value corresponding to the selected phenomenon is set as the parameter to create the second heat treatment conditions.
[0098] (Feature 5)
[0099] In any of the manufacturing methods described in features 1 to 4,
[0100] In cases where multiple reactions occur during heat treatment, the master curves are prepared for each of the multiple reactions.
[0101] The second heat treatment conditions are prepared using multiple master curves and the target conditions.
[0102] (Feature 6)
[0103] A manufacturing apparatus wherein the manufacturing method described in any one of features 1 to 5 is performed.
[0104] (Feature 7)
[0105] A manufacturing apparatus, wherein,
[0106] Corresponding to the first heat treatment condition representing the relationship between time and temperature, the master curve representing the relationship between the reaction progress and the heat treatment condition, and the input of the target condition for heat treatment, the system outputs a score related to the first heat treatment condition and outputs a second heat treatment condition representing the relationship between time and temperature.
[0107] (Feature 8)
[0108] A production system, wherein:
[0109] The manufacturing apparatus described in feature 6 or 7; and
[0110] Output device
[0111] The manufacturing apparatus causes the output device to display at least one of the following: the first heat treatment condition, the first reaction behavior obtained by converting the first heat treatment condition using the master curve, the second heat treatment condition, the second reaction behavior corresponding to the second heat treatment condition, and first data related to the first heat treatment condition.
[0112] (Feature 9)
[0113] A program that causes a computer to execute the manufacturing method described in any one of features 1 to 5.
[0114] (Feature 10)
[0115] A storage medium storing a program that causes a computer to execute the manufacturing method described in any one of features 1 to 5.
[0116] The above examples illustrate several embodiments of the present invention, but these embodiments are provided as examples and are not intended to limit the scope of the invention. These new embodiments can be implemented in a variety of other ways, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments or their variations are included within the scope or spirit of the invention, and also within the scope of the invention as described in the claims and its equivalents. Furthermore, the above embodiments can be implemented in combination with each other.
Claims
1. A manufacturing method, wherein, Thermal analysis is performed on components that have been heat-treated under at least two different heating conditions, thereby producing multiple thermal analysis results corresponding to the temperature changes of the components under each heating condition. Using the thermal analysis results of the components, a master curve representing the relationship between the reaction progress and the heat treatment conditions was constructed. From the user receiving input based on the target conditions, Using the first heat treatment conditions representing the relationship between time and temperature and the master curve, first data related to the first heat treatment conditions corresponding to existing treatment conditions are generated. Using the master curve and the input target conditions for heat treatment, calculate the second heat treatment conditions representing the relationship between time and temperature. As output, the first heat treatment conditions, the first reaction behavior obtained by converting the first heat treatment conditions using the master curve, the second heat treatment conditions, the second reaction behavior corresponding to the second heat treatment conditions, the scores representing the evaluation of the first reaction behavior and the evaluation of the second reaction behavior, respectively, and the first data related to the first heat treatment conditions are displayed.
2. The manufacturing method according to claim 1, wherein, The second heat treatment conditions are calculated using the constraints imposed on the heat treatment.
3. The manufacturing method according to claim 1, wherein, The first reaction behavior represents the change in the reaction progress relative to time. Using the first data, a score representing the evaluation of the first reaction behavior is calculated.
4. The manufacturing method according to claim 1, wherein, The master curve includes parameters corresponding to at least one of a plurality of phenomena that may occur during heat treatment. When one of the phenomena is selected, the value corresponding to the selected phenomenon is set as the parameter to create the second heat treatment conditions.
5. The manufacturing method according to claim 1, wherein, In cases where multiple reactions occur during heat treatment, the master curves are prepared for each of the multiple reactions. The second heat treatment conditions are prepared using multiple master curves and the target conditions.
6. The manufacturing method according to claim 1, wherein, The display interface shows a depiction area, which receives input from the user to depict the desired response behavior, and calculates the target conditions of the input from the depicted response behavior.
7. A production system, wherein, have: The apparatus performs thermal analysis on a component after heat treatment under at least two different heating conditions, thereby generating multiple thermal analysis results corresponding to the temperature changes of the component under each heating condition. Using the thermal analysis results of the component, it generates a master curve representing the relationship between the reaction progress and the heat treatment conditions. It receives input of target conditions from a user, and uses a first heat treatment condition representing the relationship between time and temperature and the master curve to generate first data related to the first heat treatment condition corresponding to the existing treatment conditions. Using the master curve and the input target conditions for heat treatment, it calculates a second heat treatment condition representing the relationship between time and temperature. and The output device, as an output, displays the first heat treatment conditions, the first reaction behavior obtained by converting the first heat treatment conditions using the master curve, the second heat treatment conditions, the second reaction behavior corresponding to the second heat treatment conditions, scores representing the evaluation of the first reaction behavior and the evaluation of the second reaction behavior, respectively, and first data related to the first heat treatment conditions.
8. A non-transitory, computer-readable storage medium, wherein, The program is stored and executed by a computer, which causes the computer to perform the following manufacturing method: Thermal analysis is performed on components that have been heat-treated under at least two different heating conditions, thereby producing multiple thermal analysis results corresponding to the temperature changes of the components under each heating condition. Using the thermal analysis results of the components, a master curve representing the relationship between the reaction progress and the heat treatment conditions was constructed. From the user receiving input based on the target conditions, Using the first heat treatment conditions representing the relationship between time and temperature and the master curve, first data related to the first heat treatment conditions corresponding to existing treatment conditions are generated. Using the master curve and the input target conditions for heat treatment, calculate the second heat treatment conditions representing the relationship between time and temperature. As output, the first heat treatment conditions, the first reaction behavior obtained by converting the first heat treatment conditions using the master curve, the second heat treatment conditions, the second reaction behavior corresponding to the second heat treatment conditions, the scores representing the evaluation of the first reaction behavior and the evaluation of the second reaction behavior, respectively, and the first data related to the first heat treatment conditions are displayed.
Citation Information
Patent Citations
Process diagnostic device, process diagnostic method, and computer program
JP2017167663A
Metal structure, method of manufacturing metal structure, spring component, chronograph coupling lever for timepiece, and timepiece
US20140269228A1