JP7696552B2 - Optimal design method, induction heating device, and induction heating method - Google Patents

Description

This disclosure relates to an optimum design method, an induction heating device, and an induction heating method.

A known method for fusing thermoplastic composite materials is induction heating, in which an alternating current is passed through a coil placed near the composite material to apply a magnetic field to the composite material (see, for example, Patent Document 1).

JP 2021-104666 A

When a composite material is heated by induction heating, the induced current (eddy current) generated inside the composite material may concentrate at the edge of the composite material, causing the temperature of the edge of the composite material to become higher than the surrounding area. The quality of thermal fusion depends on temperature conditions, etc. Therefore, in order to maintain a constant quality of the composite material, it is desirable to make the temperature of the composite material uniform throughout the entire area when induction heating. One possible method of making the temperature uniform throughout the entire area of the composite material is to place multiple coils near the composite material and utilize the electromagnetic interference that occurs when an alternating current is passed through the multiple coils. However, because there are many design variables for coils, it is difficult to design a coil that will perform induction heating properly.

The purpose of this disclosure is to provide an optimal design method, induction heating device, and induction heating method that can appropriately heat an object to be heated.

The optimal design method disclosed herein includes the steps of arranging a plurality of coils in the vicinity of an object to be heated;
The method includes a step of passing an alternating current through the multiple coils to apply a magnetic field to the object to be heated, thereby heating the object to be heated, and a step of predicting optimal values of parameters related to the multiple coils based on the heating result of the object to be heated.

The induction heating device disclosed herein comprises a control device that predicts and sets parameters of multiple coils that are placed near an object to be heated using the optimal design method disclosed herein, multiple coils that are placed near the object to be heated, and a temperature measuring device that measures the temperature of the object to be heated. The control device sets the parameters of the multiple coils, passes an alternating current through the multiple coils to heat the object to be heated, and determines whether the temperature of the object to be heated is appropriate based on the measurement results of the temperature of the object to be heated measured by the temperature measuring device.

The induction heating device disclosed herein comprises a control device that performs heating control according to the conditions set by the optimal design method disclosed herein, a number of coils arranged in the vicinity of the object to be heated, and a temperature measuring device that measures the temperature of the object to be heated. The control device sets the parameters of the coils according to the conditions set by the optimal design method depending on the object to be heated, passes an alternating current through the coils to heat the object to be heated, and determines whether the temperature of the object to be heated is appropriate based on the measurement result of the temperature of the object to be heated measured by the temperature measuring device.

The induction heating method disclosed herein includes the steps of: setting parameters for multiple coils placed near the object to be heated using a predictive model according to the object to be heated; passing an alternating current through the multiple coils to heat the object to be heated; measuring the temperature of the object to be heated; and determining whether the temperature of the object to be heated is appropriate based on the measured temperature of the object to be heated.

The induction heating method disclosed herein includes the steps of setting parameters for multiple coils placed near the object to be heated according to conditions set using a predictive model depending on the object to be heated, passing an alternating current through the multiple coils to heat the object to be heated, measuring the temperature of the object to be heated, and determining whether the temperature of the object to be heated is appropriate based on the measured temperature of the object to be heated.

According to the present disclosure, the object to be heated can be heated appropriately.

FIG. 1 is a diagram showing an example of an analytical model of a composite material structure according to the present embodiment. FIG. 2 is a diagram showing an example of an analytical model of the composite material structure according to this embodiment. FIG. 3 is a block diagram showing an example of the configuration of an analysis device according to this embodiment. FIG. 4 is a flowchart showing the optimum design method according to this embodiment. FIG. 5 is a diagram for explaining the basic arrangement of coils according to this embodiment. FIG. 6 is a diagram for explaining the basic arrangement of coils according to this embodiment. FIG. 7 is a schematic top view showing a first arrangement pattern of coils according to this embodiment. FIG. 8 is a schematic cross-sectional view showing a first arrangement pattern of coils according to this embodiment. FIG. 9 is a schematic top view showing a second coil arrangement pattern according to the present embodiment. FIG. 10 is a schematic cross-sectional view showing a second coil arrangement pattern according to the present embodiment. FIG. 11 is a schematic top view showing a third coil arrangement pattern according to the present embodiment. FIG. 12 is a schematic cross-sectional view showing a third arrangement pattern of coils according to this embodiment. FIG. 13 is a schematic top view showing a fourth coil arrangement pattern according to this embodiment. FIG. 14 is a schematic cross-sectional view showing a fourth coil arrangement pattern according to the present embodiment. FIG. 15 is a schematic top view showing a fifth coil arrangement pattern according to this embodiment. FIG. 16 is a schematic cross-sectional view showing a fifth arrangement pattern of coils according to this embodiment. FIG. 17 is a schematic top view showing a sixth coil arrangement pattern according to the present embodiment. FIG. 18 is a schematic cross-sectional view showing a sixth arrangement pattern of coils according to the present embodiment. FIG. 19 is a schematic top view showing a seventh coil arrangement pattern according to this embodiment. FIG. 20 is a schematic cross-sectional view showing a seventh arrangement pattern of coils according to this embodiment. FIG. 21 is a schematic top view showing an eighth coil arrangement pattern according to this embodiment. FIG. 22 is a schematic cross-sectional view showing an eighth arrangement pattern of coils according to this embodiment. FIG. 23 is a schematic top view showing a ninth coil arrangement pattern according to this embodiment. FIG. 24 is a schematic cross-sectional view showing a ninth arrangement pattern of coils according to this embodiment. FIG. 25 is a schematic top view showing a tenth arrangement pattern of coils according to this embodiment. FIG. 26 is a schematic cross-sectional view showing a tenth arrangement pattern of coils according to this embodiment. FIG. 27 is a schematic top view showing a modification of the tenth arrangement pattern of coils according to this embodiment. FIG. 28 is a schematic top view showing an eleventh arrangement pattern of coils according to this embodiment. FIG. 29 is a schematic cross-sectional view showing an eleventh arrangement pattern of coils according to this embodiment. FIG. 30 is a diagram showing an example of the configuration of an induction heating device according to this embodiment. FIG. 31 is a diagram showing the configuration of a control device according to this embodiment. FIG. 32 is a flowchart showing the first fusion method according to the present embodiment. FIG. 33 is a flowchart showing the second fusion method according to the present embodiment.

Below, an embodiment of the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to this embodiment. Furthermore, the components in the following embodiment include those that are easily replaceable by a person skilled in the art, or those that are substantially the same. Furthermore, the components described below can be combined as appropriate, and when there are multiple embodiments, the respective embodiments can also be combined.

[Embodiment]
The optimum design method according to the present embodiment uses machine learning techniques to determine design variables (parameters) for multiple coils used to fuse composite materials by induction heating.

An example of an analytical model of a composite material structure according to this embodiment will be described with reference to Figures 1 and 2. Figures 1 and 2 are diagrams showing an example of an analytical model of a composite material structure according to this embodiment.

Analysis model M includes flat plate 10, dry cloth 11, stringer 12, coil 14a, coil 14b, coil 14c, and coil 14d. Analysis model M is a model that mimics a composite material structure in which an alternating current is passed from coil 14a to coil 14d to inductively heat flat plate 10 and stringer 12, and flat plate 10 and stringer 12 are thermally fused together.

The flat plate 10 is a model of a thermoplastic carbon fiber composite (CFRTP: Carbon Fiber Reinforced Thermo Plastics). The flat plate 10 is a type of first carbon fiber composite. The stringer 12 is a model of a thermoplastic carbon fiber composite with an L-shaped cross section. The stringer 12 is heat fused to the upper surface of the flat plate 10. The stringer 12 is a type of second carbon fiber composite. In this embodiment, one of the objects to be heated is described as a flat plate 10, but the present disclosure is not limited to this. In this embodiment, the flat plate 10 may be, for example, a curved plate processed into a curved shape. In this embodiment, the stringer 12 is described as a carbon fiber composite formed into an L-shape, but the present disclosure is not limited to this. The stringer 12 may be formed, for example, into a T-shape, an I-shape, a hat shape, or an omega shape.

The dry cloth 11 is a model of a carbon dry cloth located between the flat plate 10 and the stringer 12. The dry cloth 11 is a heating element. The dry cloth 11 is thinner than the flat plate 10 and the stringer 12. The dry cloth 11 is wider than the fusion surface between the flat plate 10 and the stringer 12. By making the dry cloth 11 wider than the fusion surface between the flat plate 10 and the stringer 12, it is possible to prevent the current flowing through the flat plate 10 from concentrating at the ends.

Coils 14a to 14d are models of coils arranged below the flat plate 10. Coils 14a to 14d are arranged near the flat plate 10. Coils 14a to 14d are sometimes collectively referred to as coils 14. An alternating current having a predetermined frequency and phase flows through coils 14a to 14d. By passing an alternating current through coils 14a to 14d, a magnetic field is generated around coils 14a to 14d. The magnetic field generated around coils 14a to 14d generates an induced current (eddy current) inside the flat plate 10, dry cloth 11, and stringer 12. The flat plate 10, dry cloth 11, and stringer 12 each generate heat due to Joule heating as the induced current flows inside. The flat plate 10, dry cloth 11, and stringer 12 each melt due to heat generation. Here, coils 14a to 14d generate heat and melt at least the dry cloth 11. This allows the flat plate 10 and the stringer 12 to be fused together.

In this embodiment, the analysis model M uses machine learning to appropriately heat the flat plate 10 to predict optimal values of design variables of the coil 14, including the shape, number, and arrangement of the coil 14 to be arranged to appropriately heat the flat plate 10, and the phase and frequency of the AC current flowing through the coil. Specifically, in this embodiment, when fusing the flat plate 10 and the stringer 12, optimal values of design variables of the coil 14 that can minimize the standard deviation of the temperature in the entire area and the AC current flowing through the coil 14 are predicted. In this embodiment, the coil 14 is described as a solenoid coil, but the present disclosure is not limited to this. The coil 14 may be, for example, a single pancake coil or a double coil arranged above and below the fusion portion. In addition, in this embodiment, the flat plate 10 is described as being heated with the position of the coil 14 fixed, but the present disclosure is not limited to this. In this disclosure, the flat plate 10 may be heated while moving the coil 14, for example.

An example of the configuration of an analysis device according to this embodiment will be described with reference to FIG. 3. FIG. 3 is a block diagram showing an example of the configuration of an analysis device according to this embodiment.

As shown in FIG. 3, the analysis device 100 includes an input unit 102, an output unit 104, a control unit 106, and a storage unit 108. The analysis device 100 is a computing device such as a personal computer. The analysis device 100 may be configured as a single device, or may be configured as multiple devices that combine computing devices and server devices, etc.

The input unit 102 is composed of input devices such as a mouse, a keyboard, and a touch panel.

The output unit 104 is composed of output devices such as a monitor and a speaker.

The control unit 106 controls each part of the analysis device 100. The control unit 106 has, for example, an information processing device such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), and a storage device such as a RAM (Random Access Memory) or a ROM (Read Only Memory). The control unit 106 executes a program that controls the operation of the analysis device 100 according to the present invention. The control unit 106 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 106 may be realized by a combination of hardware and software.

The memory unit 108 stores information such as the contents of calculations performed by the control unit 106 and programs. The memory unit 108 includes at least one of a RAM, a main memory such as a ROM, and an external memory such as a hard disk drive (HDD). The memory unit 108 stores a prediction model 108a.

The prediction model 108a is an AI (Artificial Intelligence) model. The prediction model 108a is a model for identifying design variables of a coil placed near the flat plate 10 in order to appropriately heat a heated object such as the flat plate 10. The prediction model 108a is a learned AI model constructed by learning the temperature distribution of the heated object when the heated object is heated and the design variables of the coil as one data set, and learning the multiple data sets as teacher data. The control unit 106 inputs the temperature distribution of the heated object, the shape, number, and arrangement of the coils, the phase and frequency of the AC current flowing through the coil, and the like, of the heated object when the heated object is heated with the coil, into the prediction model 108a. As a result, the control unit 106 identifies the shape, number, and arrangement of the coils placed near the heated object, the phase and frequency of the AC current flowing through the coil, and the like. The prediction model 108a may be any model as an AI model. For example, the prediction model 108a may be a CNN (Conventional Neural Network) model. Note that the prediction model 108a may be a trained AI model constructed by learning from a plurality of data sets as training data, with the magnetic field distribution of the heated object when a magnetic field is applied to the heated object by the coil 14 and the design variables of the coil as one data set.

(Optimal design method)
The optimum design method according to this embodiment will be described with reference to Fig. 4. Fig. 4 is a flowchart showing the optimum design method according to this embodiment.

The control unit 106 performs initial settings (step S10). Specifically, the control unit 106 places multiple coils 14 relative to the object to be heated. More specifically, the control unit 106 sets the design variables of the multiple coils 14 to their initial states.

The basic arrangement of the coils according to this embodiment will be explained using Figures 5 and 6. Figures 5 and 6 are diagrams for explaining the basic arrangement of the coils according to this embodiment.

As shown in FIG. 5, the control unit 106 arranges four coils, coil 14a, coil 14b, coil 14c, and coil 14d. Coil 14a and coil 14b are aligned along the X-axis direction. The center of coil 14a and the center of coil 14b coincide with the origin O in the X-axis direction. Coil 14c and coil 14d are aligned along the Y-axis direction. The center of coil 14c and the center of coil 14d coincide with the origin O in the Y-axis direction. The distance between coil 14a and coil 14b is L1. The distance between coil 14c and coil 14d is L2. Coils 14a to 14d are each circular. Coils 14a to 14d are each assumed to have the same shape. The outer diameters of coils 14a to 14d are each assumed to be Di. It is assumed that alternating currents of the same phase flow through coils 14a and 14b. Assume that alternating currents of the same phase flow through coils 14c and 14d. The phase difference between the alternating currents flowing through coils 14a and 14c is p.

As shown in FIG. 6, the coil 14 is disposed below the flat plate 10. The distance between the flat plate 10 and the coil 14 is zi. The number of turns of the coil 14 is n.

In this embodiment, the design variables are distance L1, distance L2, outer diameter Di, phase difference p of the AC current, distance zi, and number of turns n. Note that the design variables are not limited to these, and other physical quantities may be used as design variables.

In the initial state, for example, the distance L1 is 2 mm, the distance L2 is 8 mm, the outer diameter Di is 18 mm, the phase difference p of the AC current is 180°, the distance zi is 2 mm, and the number of turns n of the coil is 9 turns. Other values may be used as the initial state.

The control unit 106 analyzes the temperature distribution of the object to be heated (step S12). Specifically, the control unit 106 analyzes the temperature distribution over the entire area of the flat plate 10 when the fusion points reach an appropriate temperature when the flat plate 10 is induction heated by passing a predetermined AC current from coil 14a to coil 14d. More specifically, the control unit 106 analyzes the temperature distribution over the entire area of the flat plate 10 using a method of electromagnetic field-heat transfer coupled analysis. Note that the control unit 106 may only analyze the magnetic field distribution over the entire area of the flat plate 10. In other words, the control unit 106 may only analyze the magnetic field distribution over the entire area of the flat plate 10 to calculate the optimal conditions for the heating method. Then, the process proceeds to step S14.

The control unit 106 calculates the temperature variation over the entire area of the heated object (step S14). Specifically, the control unit 106 calculates the standard deviation of the temperature over the entire area of the flat plate 10 based on the analysis results of step S12. Then, the process proceeds to step S16.

The control unit 106 adds the calculation results of the temperature variation over the entire area of the heated object as learning data (step S16). Specifically, the control unit 106 adds learning data that associates the design variables of the multiple coils 14 with the standard deviation of the temperature over the entire area of the flat plate 10 to the prediction model 108a. Then, the process proceeds to step S18.

The control unit 106 executes an optimization process (step S18). Based on the analysis results of step S16, the control unit 106 executes a multi-objective optimization process using the prediction model 108a to minimize the standard deviation of the temperature over the entire area of the flat plate 10 and the AC current flowing through the coil 14. Specifically, the control unit 106 changes the design variables from the initial values set in step S10, and analyzes the temperature distribution of the heated object for various combinations of the design variables. Specifically, the control unit 106 executes a multi-objective optimization process to calculate a Pareto solution set of the design variables for minimizing the standard deviation of the temperature over the entire area of the flat plate 10 and the AC current flowing through the coil 14. Then, the control unit 106 compares the analysis results of the temperature distribution of the heated object for various combinations of the design variables. Based on the comparison results, the control unit 106 identifies design variables for minimizing the standard deviation of the temperature over the entire area of the flat plate 10 and the AC current flowing through the coil 14. As a result, for example, the control unit 106 calculates a Pareto solution in which the distance L1 is 2 mm, the distance L2 is 26 mm, the outer diameter Di is 26 mm, the phase difference p of the AC current is 80°, the distance zi is 2 mm, and the number of coil turns n is 17 turns. Then, the process proceeds to step S20.

The control unit 106 updates the design variables (step S20). The control unit 106 updates the design variables that were set to initial values in step S10 to the design variables calculated in step S18. Specifically, the control unit 106 changes the design variables according to the Pareto solution selected by the user from the Pareto solution set calculated in step S18. The control unit 106 may have a function of automatically selecting the optimal one from the Pareto solution set. Then, the process proceeds to step S22.

The control unit 106 determines whether or not to end the process (step S22). The control unit 106 determines to end the process when the desired design variable values are obtained, when an operation to end the process is received, and the like. When it is determined to end the process (step S22; Yes), the process of FIG. 4 is ended. When it is not determined to end the process (step S22; No), the process proceeds to step S12. That is, in this embodiment, when the desired design variable values are not obtained, and when it is not determined that an operation to end the process is received, the process of steps S12 to S20 is repeatedly executed.

The optimum design method may include, for example, a process for setting the time required for the temperature of the flat plate 10 to reach an appropriate temperature. This allows the time required for fusing the flat plate 10 and the stringer 12 to be appropriately set.

The optimum design method may include, for example, a process for setting the heating locations. For example, the optimum design method may include a process for setting the locations on the flat plate 10 that are to be heated and the locations that are not to be heated. For example, the optimum design method may include a process for setting the heating of the entire flat plate 10 or the heating of only specific locations. This allows the flat plate 10 to be heated appropriately.

The optimum design method may include a process of setting the phase and frequency of the AC current flowing from coil 14a to coil 14d. For example, the phases of the AC current flowing from coil 14a to coil 14d may be set to different phases. For example, the frequencies of the AC current flowing from coil 14a to coil 14d may be set to different frequencies.

In this embodiment, the multi-objective optimization process and the process of identifying design variables for minimizing the standard deviation of the temperature over the entire area of the flat plate 10 and the AC current flowing through the coil 14 have been described, but the present disclosure is not limited thereto. For example, the multi-objective process may identify design variables for minimizing the time required to reach a desired temperature.

In this embodiment, the multi-objective optimization process and the process of identifying design variables for minimizing two parameters, the standard deviation of temperature over the entire area of the flat plate 10 and the AC current flowing through the coil 14, have been described, but the present disclosure is not limited thereto. For example, in this embodiment, design variables for minimizing three or more parameters may be identified.

[Coil arrangement pattern]
In this embodiment, the arrangement pattern of the coils 14 is determined by executing the process of Fig. 4. An example of calculating the arrangement pattern of the coils 14 will be described below.

(First arrangement pattern)
The first arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 7 and Fig. 8. Fig. 7 is a schematic top view showing the first arrangement pattern of the coils according to this embodiment. Fig. 8 is a schematic cross-sectional view showing the first arrangement pattern of the coils according to this embodiment. The first arrangement pattern is the basic arrangement pattern of this embodiment.

As shown in FIG. 7, in the first arrangement pattern, four coils, coil 14a, coil 14b, coil 14c, and coil 14d, are arranged. Coils 14a to 14d have the same circular shape. The upper and lower surfaces of coils 14a, 14b, 14c, and 14d are arranged parallel to flat plate 10. Coils 14a to 14d are arranged in a diamond shape in the XY plane. Coils 14a and 14b are aligned along the X-axis direction. The centers of coils 14a and 14b are located on the same X-axis in the XY plane. Coils 14c and 14d are aligned along the Y-axis direction. The centers of coils 14c and 14d are located on the same Y-axis in the XY plane. The distance between coil 14a and coil 14c, the distance between coil 14c and coil 14b, the distance between coil 14b and coil 14d, and the distance between coil 14d and coil 14a are the same.

Figure 8 shows a cross-sectional view taken along line A-A in Figure 7. As shown in Figure 8, coils 14a and 14b are disposed on the lower part of flat plate 10. Coils 14a and 14b are disposed at the same position in the Z-axis direction. Although not shown in Figure 8, coils 14c and 14d are disposed in the same manner as coils 14a and 14b.

(Second arrangement pattern)
The second arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 9 and Fig. 10. Fig. 9 is a schematic top view showing the second arrangement pattern of the coils according to this embodiment. Fig. 10 is a schematic cross-sectional view showing the second arrangement pattern of the coils according to this embodiment.

As shown in FIG. 9, in the second arrangement pattern, four coils, coil 14a, coil 14b, coil 14c, and coil 14d, are arranged. Coils 14a to 14d have the same circular shape. The upper and lower surfaces of coils 14a, 14b, 14c, and 14d are arranged parallel to flat plate 10. Coils 14a to 14d are arranged in a square shape in the XY plane. Coils 14a and 14b are aligned along the X-axis direction. The centers of coils 14a and 14b are located on the same X-axis in the XY plane. Coils 14a and 14c are aligned along the Y-axis direction. The centers of coils 14a and 14c are located coaxially in the Y-axis direction. Coils 14c and 14d are aligned along the X-axis direction. The center of coil 14c and the center of coil 14d are located in the same X-axis direction in the XY plane. Coil 14b and coil 14d are aligned along the Y-axis direction. The center of coil 14b and the center of coil 14d are located coaxially in the Y-axis direction. The distance between coil 14a and coil 14c, the distance between coil 14c and coil 14b, the distance between coil 14b and coil 14d, and the distance between coil 14d and coil 14a are the same. Note that the four coils, coil 14a to coil 14d, may be arranged in a rectangular shape in the XY plane.

Figure 10 shows a cross-sectional view taken along line B-B in Figure 9. As shown in Figure 10, coils 14a and 14b are disposed on the lower part of flat plate 10. Coils 14a and 14b are disposed at the same position in the Z-axis direction. Although not shown in Figure 10, coils 14c and 14d are disposed in the same manner as coils 14a and 14b.

(Third arrangement pattern)
The third arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 11 and Fig. 12. Fig. 11 is a schematic top view showing the third arrangement pattern of the coils according to this embodiment. Fig. 12 is a schematic cross-sectional view showing the third arrangement pattern of the coils according to this embodiment.

As shown in FIG. 11, in the third arrangement pattern, four coils, coil 14a, coil 14b, coil 14c, and coil 14d, are arranged. Coils 14a to 14d have the same circular shape. The upper and lower surfaces of coils 14a, 14b, 14c, and 14d are arranged parallel to the flat plate 10. Coils 14a to 14d are arranged in a parallelogram shape in the XY plane. Coils 14a and 14b are aligned along the X-axis direction. The centers of coils 14a and 14b are located on the same X-axis in the XY plane. Coils 14c and 14d are aligned along the X-axis direction. The centers of coils 14c and 14d are located on the same X-axis in the XY plane. The distance between coils 14a and 14b and the distance between coils 14c and 14d are the same. The distance between coil 14a and coil 14c is the same as the distance between coil 14b and coil 14d. The line connecting the center of coil 14a and the center of coil 14c is parallel to the line connecting the center of coil 14b and the center of coil 14d.

Figure 12 shows a cross-sectional view taken along line C-C in Figure 11. As shown in Figure 12, coils 14a and 14b are disposed on the lower part of flat plate 10. Coils 14a and 14b are disposed at the same position in the Z-axis direction. Although not shown in Figure 12, coils 14c and 14d are disposed in the same manner as coils 14a and 14b.

(Fourth arrangement pattern)
The fourth arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 13 and Fig. 14. Fig. 13 is a schematic top view showing the fourth arrangement pattern of the coils according to this embodiment. Fig. 14 is a schematic cross-sectional view showing the fourth arrangement pattern of the coils according to this embodiment.

As shown in FIG. 13, in the fourth arrangement pattern, four coils, coil 14a, coil 14b, coil 14c, and coil 14d, are arranged. Coils 14a to 14d have the same circular shape. The upper and lower surfaces of coils 14a, 14b, 14c, and 14d are arranged parallel to the flat plate 10. Coils 14a to 14d are arranged in a trapezoidal shape on the XY plane. Coils 14a and 14b are aligned along the X-axis direction. The centers of coils 14a and 14b are located on the same X-axis on the XY plane. Coils 14c and 14d are aligned along the X-axis direction. The centers of coils 14c and 14d are located on the same X-axis on the XY plane. The distance between coils 14a and 14b is longer than the distance between coils 14c and 14d.

Figure 14 shows a cross-sectional view taken along line D-D in Figure 13. As shown in Figure 14, coils 14a and 14b are disposed on the lower part of flat plate 10. Coils 14a and 14b are disposed at the same position in the Z-axis direction. Although not shown in Figure 14, coils 14c and 14d are disposed in the same manner as coils 14a and 14b.

(Fifth arrangement pattern)
The fifth arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 15 and Fig. 16. Fig. 15 is a schematic top view showing the fifth arrangement pattern of the coils according to this embodiment. Fig. 16 is a schematic cross-sectional view showing the fifth arrangement pattern of the coils according to this embodiment.

As shown in FIG. 15, in the fifth arrangement pattern, three coils, coil 14a, coil 14b, and coil 14c, are arranged. Coils 14a to 14c have the same circular shape. Coils 14a, 14b, and 14c are arranged with the upper and lower surfaces parallel to the flat plate 10. Coils 14a to 14c are arranged in a triangular shape in the XY plane. Coils 14a and 14b are aligned along the X-axis direction. The center of coil 14a and the center of coil 14b are located on the same X-axis in the XY plane. The distance between coil 14a and coil 14b, the distance between coil 14a and coil 14c, and the distance between coil 14b and coil 14c are the same. That is, in the example shown in FIG. 15, coils 14a to 14c are arranged in an equilateral triangle shape. Coils 14a to 14c may also be arranged in an isosceles triangle shape.

Figure 16 shows a cross-sectional view taken along line E-E in Figure 15. As shown in Figure 16, coil 14a and coil 14b are disposed on the lower part of flat plate 10. Coil 14a and coil 14b are disposed at the same position in the Z-axis direction. Although not shown in Figure 16, coil 14c is disposed in the same manner as coil 14a and coil 14b.

(Sixth arrangement pattern)
The sixth arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 17 and Fig. 18. Fig. 17 is a schematic top view showing the sixth arrangement pattern of the coils according to this embodiment. Fig. 18 is a schematic cross-sectional view showing the sixth arrangement pattern of the coils according to this embodiment.

As shown in FIG. 17, in the sixth arrangement pattern, five coils are arranged: coil 14a, coil 14b, coil 14c, coil 14d, and coil 14e. The upper and lower surfaces of coil 14a, coil 14b, coil 14c, coil 14d, and coil 14e are arranged parallel to flat plate 10. Coils 14a to 14d have the same circular shape. Coil 14e has a smaller circular shape than coils 14a to 14d. Coils 14a to 14d are arranged in the XY plane in the same manner as in the second arrangement pattern. Coil 14e is arranged at the center of coils 14a to 14d in the XY plane.

Coil 14e may be arranged at a position other than the center of coils 14a to 14d in the XY plane. Coils 14a to 14e may each have a different shape. In addition, in the sixth arrangement pattern, five coils 14, coils 14a to 14e, are arranged, but six or more coils 14 may be arranged.

Figure 18 shows a cross-sectional view taken along line F-F in Figure 17. As shown in Figure 18, coils 14a, 14b, and 14e are disposed on the lower part of flat plate 10. Coils 14a, 14b, and 14e are disposed at the same position in the Z-axis direction. Although not shown in Figure 18, coils 14c and 14d are disposed in the same manner as coils 14a, 14b, and 14e.

(7th arrangement pattern)
The seventh arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 19 and Fig. 20. Fig. 19 is a schematic top view showing the seventh arrangement pattern of the coils according to this embodiment. Fig. 20 is a schematic cross-sectional view showing the seventh arrangement pattern of the coils according to this embodiment.

As shown in FIG. 19, in the seventh arrangement pattern, four coils are arranged: coil 14Aa, coil 14Ab, coil 14Ac, and coil 14Ad. Coils 14Aa to 14Ad have the same rectangular shape. The top and bottom surfaces of coils 14Aa, coil 14Ab, coil 14Ac, and coil 14Ad are arranged parallel to flat plate 10. Coils 14Aa to 14Ad are arranged in the same manner as in the second pattern.

Coils 14Aa to 14Ad may be square or rectangular. Coils 14Aa to 14Ad may be other polygonal shapes. Coils 14Aa to 14Ad may each be a different polygonal shape. At least one of coils 14Aa to 14Ad may be circular.

Figure 20 shows a cross-sectional view taken along line G-G in Figure 19. As shown in Figure 20, coils 14Aa and 14Ab are disposed on the lower part of flat plate 10. Coils 14Aa and 14Ab are disposed at the same position in the Z-axis direction. Although not shown in Figure 20, coils 14Ac and 14Ad are disposed in the same manner as coils 14Aa and 14Ab.

(8th arrangement pattern)
The eighth arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 21 and Fig. 22. Fig. 21 is a schematic top view showing the eighth arrangement pattern of the coils according to this embodiment. Fig. 22 is a schematic cross-sectional view showing the eighth arrangement pattern of the coils according to this embodiment.

As shown in FIG. 21, in the eighth arrangement pattern, four coils are arranged: coil 14a, coil 14b, coil 14c, and coil 14d. The upper and lower surfaces of coil 14a, coil 14b, and coil 14c are arranged parallel to flat plate 10. Coils 14a to 14d have the same circular shape. Coils 14a to 14d are arranged in the XY plane in the same manner as in the first pattern.

Figure 22 shows a cross-sectional view taken along line H-H in Figure 21. As shown in Figure 22, coil 14a is disposed on the bottom of flat plate 10. Coil 14b is disposed on the top of flat plate 10. That is, in the eighth arrangement pattern, coil 14 is disposed on the top and bottom of flat plate 10. The distance between flat plate 10 and coil 14a and the distance between flat plate 10 and coil 14b may be the same or different. Although not shown in Figure 22, coil 14c may be disposed on the top of flat plate 10 or on the bottom of flat plate 10. Coil 14d may be disposed on the top of flat plate 10 or on the bottom of flat plate 10. Each of coils 14a to 14d may be disposed on the top of flat plate 10.

(9th arrangement pattern)
The ninth arrangement pattern of the coils according to this embodiment will be described with reference to Fig. 23 and Fig. 24. Fig. 23 is a schematic top view showing the ninth arrangement pattern of the coils according to this embodiment. Fig. 24 is a schematic cross-sectional view showing the ninth arrangement pattern of the coils according to this embodiment.

As shown in FIG. 23, in the ninth arrangement pattern, four coils are arranged: coil 14a, coil 14b, coil 14c, and coil 14d. Coils 14a to 14d have the same circular shape. Coils 14a to 14d are arranged in the XY plane in the same manner as in the first pattern.

Figure 24 shows a cross-sectional view taken along line I-I in Figure 23. As shown in Figure 24, coils 14a and 14b are disposed at the bottom of flat plate 10. Coils 14a and 14b are disposed at an angle with respect to flat plate 10. In the example shown in Figure 24, coils 14a and 14b are disposed at an angle with the top surface facing the center of flat plate 10 in the X-axis direction, for example. Coils 14a and 14b may be disposed so that their respective top surfaces face different directions. Although not shown in Figure 24, coils 14c and 14b may be disposed in any direction. At least one of coils 14a to 14d may be disposed with the top and bottom surfaces parallel to flat plate 10. At least one of coils 14a to 14d may be disposed at an angle on the top of flat plate 10.

(10th arrangement pattern)
A tenth arrangement pattern of coils according to this embodiment will be described with reference to Fig. 25 and Fig. 26. Fig. 25 is a schematic top view showing the tenth arrangement pattern of coils according to this embodiment. Fig. 26 is a schematic cross-sectional view showing the tenth arrangement pattern of coils according to this embodiment.

As shown in FIG. 25, in the tenth arrangement pattern, three coils, coil 14a, coil 14b, and coil 14c, are arranged. Coils 14a to 14c are arranged linearly along the Y-axis direction on the XY plane. The upper and lower surfaces of coils 14a, 14b, and 14c are arranged parallel to the flat plate 10. The distance between coils 14a and 14b is the same as the distance between coils 14a and 14c. Coils 14a, 14b, and 14c may also be arranged linearly along the X-axis direction.

Figure 26 shows a cross-sectional view taken along line J-J in Figure 25. As shown in Figure 26, coil 14a is disposed on the bottom of flat plate 10. Although not shown in Figure 26, coil 14b and coil 14 are disposed in the same manner as coil 14a. At least one of coil 14a, coil 14b, and coil 14c may also be disposed on the top of flat plate 10.

(Modification of the tenth arrangement pattern)
A modified example of the tenth arrangement pattern will be described. The tenth arrangement pattern shown in Fig. 25 and Fig. 26 has been described as having three coils arranged in a straight line, but the present disclosure is not limited to this. Fig. 27 is a top schematic view showing a modified example of the tenth arrangement pattern of the coil according to this embodiment.

As shown in FIG. 27, a modified example of the tenth arrangement pattern has two coils, coil 14a and coil 14b, arranged. Coil 14a and coil 14b are arranged in a straight line along the Y-axis direction. In other words, the number of coils arranged along the Y-axis direction can be two.

(Eleventh arrangement pattern)
An eleventh arrangement pattern of coils according to this embodiment will be described with reference to Fig. 28 and Fig. 29. Fig. 28 is a schematic top view showing the eleventh arrangement pattern of coils according to this embodiment. Fig. 29 is a schematic cross-sectional view showing the eleventh arrangement pattern of coils according to this embodiment.

As shown in FIG. 28, the eleventh arrangement pattern has one coil 14B arranged. The coil 14B has a racetrack shape. The length of the coil 14B in the Y-axis direction is longer than the length of the coil 14B in the X-axis direction. The length of the coil 14B in the X-axis direction may also be longer than the length of the coil 14B in the Y-axis direction. The design variables of the coil 14B may be the major axis, minor axis, length of the straight portion, and the arrangement angle with respect to the direction of movement.

Figure 29 shows a cross-sectional view taken along line K-K in Figure 28. As shown in Figure 29, coil B is placed under flat plate 10. Coil 14B is placed with its upper surface parallel to flat plate 10. Coil 14B may also be placed with its upper surface tilted relative to flat plate 10. Coil 14B may also be placed on top of flat plate 10.

As described above, the analysis device 100 calculates the arrangement pattern of the coil 14 relative to the object to be heated according to the object to be heated, for example, as shown in the first arrangement pattern to the eleventh arrangement pattern. By heating the object to be heated with the coil arrangement pattern calculated by the analysis device 100, the object to be heated can be appropriately heated.

Although the above describes examples of calculation of the first to eleventh arrangement patterns, the present disclosure is not limited to these. For example, in the present disclosure, the first to eleventh arrangement patterns may be appropriately combined. For example, the arrangement pattern may be different from the first to eleventh arrangement patterns.

[Induction heating device]
An example of the configuration of the induction heating device according to this embodiment will be described with reference to Fig. 30. Fig. 30 is a diagram showing an example of the configuration of the induction heating device according to this embodiment.

As shown in FIG. 30, the induction heating device 200 includes a control device 210, a temperature measuring device 220, a coil 230a, a coil 230b, a coil 230c, and a coil 240d. A power source 300 is connected to the control device 210. The control device 210 receives power from the power source 300. The power source 300 supplies power to the control device 210.

The induction heating device 200 is a device for heating the flat plate 20 using coils 230a to 230d in order to fuse the flat plate 20 and the stringer 22 together. The flat plate 20 is an actual thermoplastic carbon fiber composite material corresponding to the flat plate 10. The stringer 22 is an actual thermoplastic carbon fiber composite material corresponding to the stringer 12.

The control device 210 controls each part of the induction heating device 200. FIG. 31 is a diagram showing the configuration of the control device 210 according to this embodiment. As shown in FIG. 31, the control device 210 includes a communication unit 212, a control unit 214, and a memory unit 216.

The communication unit 212 executes communication between the control device 210 and an external device. For example, the communication unit 212 executes communication between the control device 210 and the temperature measuring device 220.

The control unit 214 controls each part of the induction heating device 200. The control unit 214 has, for example, an information processing device such as a CPU or MPU, and a storage device such as a RAM or ROM. The control unit 214 executes a program that controls the operation of the induction heating device 200 according to the present invention. The control unit 214 may be realized, for example, by an integrated circuit such as an ASIC or FPGA. The control unit 214 may be realized by a combination of hardware and software.

The storage unit 216 stores information such as the contents of calculations performed by the control unit 214 and programs. The storage unit 216 includes at least one of a RAM, a main storage device such as a ROM, and an external storage device such as a HDD. The storage unit 216 stores a prediction model 216a.

The prediction model 216a is an AI model corresponding to the prediction model 108a. In other words, the prediction model 216a is a model for identifying design variables of the coils 230a to 230d of the flat plate 20 in order to appropriately heat the flat plate 20. In other words, the control device 210 pre-stores the prediction model 216a corresponding to the prediction model 108a used in the optimal design method.

The temperature measuring device 220 measures the temperature of the flat plate 10. The temperature measuring device 220 is realized, for example, by a thermal camera. The temperature measuring device 220 may be a thermocouple. The temperature measuring device 220 may be another type of temperature measuring device.

Coils 230a to 230d are induction coils corresponding to coils 14a to 14d. The design variables of coils 230a to 230d are designed according to the design variables calculated by analysis device 100. Coils 230a to 230d are sometimes collectively referred to as coils 230.

[Fusing method]
The first fusion method according to this embodiment will be described with reference to Fig. 32. Fig. 32 is a flow chart showing the first fusion method according to this embodiment.

Based on the results of the optimization process, the control unit 214 sets the parameters of the coil 230 according to the object to be heated (step S30). Specifically, the control unit 214 uses the prediction model 216a to set the positions of the coils 230a to 230d in the X-axis direction, the Y-axis direction, and the Z-axis direction according to the flat plate 20. The outer diameters and the number of turns of the coils 230a to 230d may be set in advance according to the flat plate 20, which is the object to be heated. Then, the process proceeds to step S32.

The control unit 214 heats the object to be heated (step S32). Specifically, the control unit 214 uses the prediction model 216a to pass an alternating current from coil 230a to coil 230d in accordance with the flat plate 20, thereby generating a magnetic field around coil 230a to coil 230d, thereby heating the flat plate 20. Then, the process proceeds to step S34.

The control unit 214 acquires temperature information (step S34). Specifically, the control unit 214 controls the temperature measuring device 220 to measure the temperature of the flat plate 20 heated by coils 230a to 230d, and acquires temperature information related to the temperature measurement results from the temperature measuring device 220. Then, the process proceeds to step S36.

The control unit 214 determines whether the temperature of the flat plate 20 is appropriate (step S36). Specifically, the control unit 214 determines whether the temperature of the flat plate 20 is appropriate as a temperature for fusing the flat plate 20 and the stringer 22. If it is determined that the temperature is appropriate (step S36; Yes), the process proceeds to step S38. If it is determined that the temperature is not appropriate (step S36; No), the process proceeds to step S32.

The control unit 214 fuses the object to be heated (step S38). Specifically, the control unit 214 applies pressure to the flat plate 20 and the stringer 22 using, for example, a pressure device (not shown), to fuse the flat plate 20 and the stringer 22. Then, the process of FIG. 32 ends.

The second fusion method according to this embodiment will be described with reference to Figure 33. Figure 33 is a flowchart showing the second fusion method according to this embodiment.

The processing in step S50 is the same as the processing in step S30 shown in FIG. 32, so the explanation is omitted.

The control unit 214 heats the object to be heated while moving the coil 230 (step S52). The control unit 214 uses the prediction model 216a according to the flat plate 20 to pass an AC current from the coil 230a to the coil 230d, and heats the entire flat plate 20 while moving the coil 230a to the coil 230d. For example, the control unit 214 calculates the heat generation distribution in the vertical direction of the flat plate 20 based on the prediction model 216a. The control unit 214 heats the entire flat plate 20 while moving the coil 230a to the coil 230d, for example, so that the heat generation distribution in the vertical direction of the flat plate 20 is uniform. Then, the process proceeds to step S54.

The processing in step S54 is the same as the processing in step S34 shown in FIG. 32, so the explanation is omitted.

The control unit 214 determines whether the flat plate 20 is appropriately heated (step S56). Specifically, the control unit 214 calculates the standard deviation of the temperature over the entire area of the flat plate 20 based on the temperature information acquired in step S54, and determines that the flat plate 20 is appropriately heated if the calculated standard deviation of the temperature is equal to or less than a predetermined value. The predetermined value of the standard deviation of the temperature may be set arbitrarily depending on the design. The predetermined value of the standard deviation of the temperature may be, for example, 0°C, or may be set to 5°C or less. If it is determined that the flat plate 20 is appropriately heated (step S56; Yes), the process proceeds to step S58. If it is not determined that the flat plate 20 is appropriately heated (step S56; No), the process proceeds to step S62.

The processing in steps S58 and S60 is the same as the processing in steps S36 and S38 shown in FIG. 32, respectively, and therefore will not be described.

If the result of the determination in step S56 is No, the control unit 214 changes the heating conditions (step S62). Specifically, the control unit 214 registers the setting conditions in step S56 and the calculation result of the standard deviation in step S56 in the prediction model 216a. The control unit 214 changes the arrangement positions of the coils 230a to 230d, the distance from the flat plate 20, the phase and frequency conditions of the AC current flowing from the coils 230a to 230d, the movement conditions of the coils 230a to 230d, and the like, based on the prediction model 216a. The phases of the AC current flowing from the coils 230a to 230d may be the same or different. The frequencies of the AC current flowing from the coils 230a to 230d may be the same or different. Then, the process proceeds to step S64.

The control unit 214 heats the flat plate 20 under the changed heating conditions (step S64). Specifically, the control unit 214 heats the flat plate 20 according to the heating conditions changed in step S62. For example, the control unit 214 heats the flat plate 20 while moving the coils 230a to 230d and changing the arrangement pattern of the coils 230a to 230d. Then, the process proceeds to step S54. That is, the control unit 214 feedback-controls the coils 230a to 230d based on the heating result of the flat plate 20.

In this embodiment, the heating device that heats the object to be heated has been described as induction heating device 200 that uses multiple coils to heat the object to be heated by induction heating, but the present disclosure is not limited to this. For example, the heating device that heats the object to be heated may be a laser heating device that irradiates a laser onto the object to be heated to heat it.

In addition, although the induction heating device 200 has been described as being equipped with the prediction model 216a, the present disclosure is not limited to this. For example, instead of the prediction model 216a, the induction heating device 200 may store information regarding the heating conditions learned according to the prediction model 216a. Even in this case, the induction heating device 200 can heat the object to be heated according to the heating conditions.

The optimum design method, induction heating device, and induction heating method described in this embodiment can be understood, for example, as follows.

The first aspect of the optimal design method includes the steps of arranging multiple coils near an object to be heated, passing an alternating current through the multiple coils to apply a magnetic field to the object to be heated, thereby heating the object to be heated, and predicting optimal values of parameters related to the multiple coils based on the heating result of the object to be heated.

According to the first aspect of the optimal design method, the predicted values of parameters including the arrangement positions of multiple coils for heating the object to be heated can be predicted based on the heating results of the object to be heated. This makes it possible to obtain parameters including the arrangement positions of multiple coils for heating the object to be heated.

In the second aspect of the optimal design method, the step of predicting optimal values of parameters related to the multiple coils includes a step of calculating the magnetic field distribution of the heated object, a step of calculating the standard deviation of the magnetic field over the entire area of the heated object based on the magnetic field distribution of the heated object, and a step of predicting optimal values of parameters related to the multiple coils using a prediction model for predicting the minimum value between the standard deviation of the magnetic field over the entire area of the heated object and the value of the AC current flowing through the coils, with the standard deviation of the magnetic field over the entire area of the heated object as input data. This makes it possible to optimize the predicted values of parameters including the positions of the multiple coils for heating the heated object, using the prediction model, which is an AI model. Therefore, it is possible to easily calculate the predicted values of parameters including the positions of the multiple coils for heating the heated object.

In the third aspect of the optimal design method, the step of predicting optimal values of parameters related to the multiple coils includes a step of calculating the temperature distribution of the heated object, a step of calculating the standard deviation of the temperature over the entire area of the heated object based on the temperature distribution of the heated object, and a step of predicting optimal values of parameters related to the multiple coils using a prediction model for predicting the minimum value between the standard deviation of the temperature over the entire area of the heated object and the value of the AC current flowing through the coils, with the standard deviation of the temperature over the entire area of the heated object as input data. This makes it possible to optimize the predicted values of parameters including the positions of the multiple coils for heating the heated object, using the prediction model, which is an AI model. Therefore, it is possible to easily calculate the predicted values of parameters including the positions of the multiple coils for heating the heated object.

In the fourth aspect of the optimal design method, the step of predicting optimal values of parameters related to multiple coils predicts multiple combinations of items included in the parameters related to the coils that can be candidates for the optimal solution. This makes it possible to easily set a desired optimal solution according to the conditions from multiple optimal solution candidates.

In the fifth aspect of the optimal design method, the parameters related to the multiple coils include at least one of information related to the shape, number of turns, arrangement position, outer diameter, relative positional relationship, distance from the object to be heated, phase of the alternating current flowing through the coils, and frequency of the alternating current flowing through the coils. This allows various parameters related to the coils to be appropriately designed.

In the sixth aspect of the optimal design method, the parameters related to the multiple coils include at least information related to the combination of the phase and frequency of the AC current flowing through the multiple coils. This makes it possible for the sixth aspect of the optimal design method to set conditions for more appropriately heating the object to be heated.

In the seventh aspect of the optimum design method, the object to be heated is a first carbon fiber composite and a second carbon fiber composite having a different shape from the first carbon fiber composite. This makes it possible to set appropriate conditions according to the shape of the object to be heated.

The induction heating device of the eighth aspect includes a control device that predicts and sets parameters of multiple coils that are placed near the object to be heated using the optimal design method described in any one of the first to seventh aspects, multiple coils that are placed near the object to be heated, and a temperature measuring device that measures the temperature of the object to be heated. The control device sets the parameters of the multiple coils, passes an AC current through the multiple coils to heat the object to be heated, and determines whether the temperature of the object to be heated is appropriate based on the measurement result of the temperature of the object to be heated measured by the temperature measuring device.

According to the eighth aspect of the induction heating device, parameters including the arrangement positions of multiple coils are optimized according to an optimum design method to heat the object to be heated. This allows the object to be heated appropriately.

In a ninth aspect of the induction heating device, the control device sets parameters for the multiple coils using a predictive model according to the object to be heated. The control device passes an alternating current through the multiple coils to heat the object to be heated, and determines whether the temperature of the object to be heated is appropriate based on the measurement results of the temperature of the object to be heated measured by the temperature measurement device. According to the induction heating device of the ninth aspect, parameters including the arrangement positions of the multiple coils are optimized using a predictive model according to an optimum design method, and the object to be heated is heated. This allows the object to be heated appropriately.

In the induction heating device of the tenth aspect, the control device heats the object to be heated while moving the multiple coils. This allows the object to be heated more appropriately.

In the induction heating device of the eleventh aspect, the control device changes the arrangement pattern of the multiple coils while moving the multiple coils in accordance with the measurement result of the temperature of the heated object measured by the temperature measurement device. This allows feedback control based on the heating result of the heated object, so that the heated object can be heated more appropriately.

The induction heating device of the twelfth aspect comprises a control device that performs heating control according to conditions set by the optimal design method described in any one of the first to fifth aspects, a plurality of coils arranged in the vicinity of the object to be heated, and a temperature measuring device that measures the temperature of the object to be heated. The control device sets parameters of the plurality of coils according to the conditions set by the optimal design method depending on the object to be heated, passes an alternating current through the plurality of coils to heat the object to be heated, and judges whether the temperature of the object to be heated is appropriate based on the measurement result of the temperature of the object to be heated measured by the temperature measuring device.

According to the induction heating device of the twelfth aspect, parameters including the arrangement positions of multiple coils are optimized according to conditions set by the optimum design method, and the object to be heated is heated. This allows the object to be heated appropriately.

The induction heating method of the thirteenth aspect includes the steps of predicting and setting parameters of multiple coils arranged near an object to be heated, passing an alternating current through the multiple coils to heat the object to be heated, measuring the temperature of the object to be heated, and determining whether the temperature of the object to be heated is appropriate based on the measured temperature of the object to be heated.

According to the induction heating method of the thirteenth aspect, parameters including the arrangement positions of multiple coils are optimized according to an optimum design method, and the object to be heated is heated. This allows the object to be appropriately heated.

According to the fourteenth aspect of the induction heating method, the method includes the steps of: setting parameters of a plurality of coils arranged near the object to be heated according to conditions set using a predictive model in accordance with the object to be heated; passing an alternating current through the plurality of coils to heat the object to be heated; measuring the temperature of the object to be heated; and determining whether the temperature of the object to be heated is appropriate based on the measurement result of the measured temperature of the object to be heated.

According to the induction heating device of the fourteenth aspect, parameters including the arrangement positions of multiple coils are optimized according to conditions set by the optimum design method, and the object to be heated is heated. This allows the object to be heated appropriately.

Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to the contents of these embodiments. The above-mentioned components include those that a person skilled in the art can easily imagine, those that are substantially the same, and those that are within the so-called equivalent range. Furthermore, the above-mentioned components can be combined as appropriate. Furthermore, various omissions, substitutions, or modifications of the components can be made without departing from the spirit of the above-mentioned embodiments.

REFERENCE SIGNS LIST 10, 20 Flat plate 12, 22 Stringer 14, 230 Coil 100 Analysis device 102 Input section 104 Output section 106, 214 Control section 108, 216 Memory section 108a, 216a Prediction model 200 Induction heating device 210 Control device 212 Communication section 220 Temperature measuring device 300 Power supply

Claims (12)

placing a plurality of coils adjacent to an object to be heated;
A step of applying an alternating current to the coils to apply a magnetic field to the object to be heated, thereby heating the object to be heated;
predicting optimal values of parameters related to the plurality of coils based on a heating result of the heated object;
Including ,
The step of predicting optimal values of parameters for a plurality of said coils comprises:
Calculating a magnetic field distribution of the object to be heated;
Calculating a standard deviation of the magnetic field in the entire area of the object to be heated based on the magnetic field distribution of the object to be heated;
A step of predicting optimal values of parameters related to the plurality of coils using a prediction model for predicting a minimum value between the standard deviation of the magnetic field in the entire area of the heated object and the value of the AC current flowing through the coils, using the standard deviation of the magnetic field in the entire area of the heated object as input data;
Optimal design methods , including : placing a plurality of coils adjacent to an object to be heated;
A step of applying an alternating current to the coils to apply a magnetic field to the object to be heated, thereby heating the object to be heated;
predicting optimal values of parameters related to the plurality of coils based on a heating result of the heated object;
Including,
The step of predicting optimal values of parameters for a plurality of said coils comprises:
Calculating a temperature distribution of the object to be heated;
Calculating a standard deviation of temperature over the entire area of the object to be heated based on a temperature distribution of the object to be heated;
A step of predicting optimal values of parameters related to the plurality of coils using a prediction model for predicting a minimum value between the standard deviation of the temperature over the entire area of the heated object and the value of the AC current flowing through the coils, using the standard deviation of the temperature over the entire area of the heated object as input data;
Optimal design methods, including: The step of predicting optimal values of the plurality of parameters related to the coil includes predicting a plurality of combinations of items included in the parameters related to the coil that may be candidates for an optimal solution.
3. The optimum design method according to claim 1 or 2 . The parameters related to the plurality of coils include at least one of information regarding a shape, a number of turns, an arrangement position, an outer diameter, a relative positional relationship, a distance from the object to be heated, a phase of an AC current flowing through the coil, and a frequency of an AC current flowing through the coil.
The optimum design method according to any one of claims 1 to 3 . The parameters related to the plurality of coils include information related to combinations of phases and frequencies of AC currents flowing through the plurality of coils.
The optimum design method according to claim 4 . The object to be heated is a first carbon fiber composite material and a second carbon fiber composite material having a different shape from the first carbon fiber composite material.
The optimum design method according to any one of claims 1 to 5 . A control device that predicts and sets parameters of a plurality of coils that are arranged in the vicinity of an object to be heated by the optimum design method according to any one of claims 1 to 6 ;
A plurality of the coils are disposed near the object to be heated;
A temperature measuring device for measuring the temperature of the object to be heated,
The control device sets parameters of the plurality of coils, passes an AC current through the plurality of coils to heat the object to be heated, and determines whether or not the temperature of the object to be heated is appropriate based on a measurement result of the temperature of the object to be heated measured by the temperature measuring device.
Induction heating device. The control device sets parameters of the plurality of coils using a prediction model according to the object to be heated, passes an AC current through the plurality of coils to heat the object to be heated, and determines whether or not the temperature of the object to be heated is appropriate based on a measurement result of the temperature of the object to be heated measured by the temperature measuring device.
8. An induction heating device according to claim 7 . The control device heats the object to be heated while moving the plurality of coils.
9. An induction heating device according to claim 7 or 8 . the control device changes an arrangement pattern of the plurality of coils while moving the plurality of coils in accordance with a measurement result of the temperature of the object to be heated measured by the temperature measuring device.
An induction heating device according to any one of claims 7 to 9 . A control device that performs heating control according to the conditions set by the optimum design method according to any one of claims 1 to 6 ;
A plurality of coils arranged in the vicinity of an object to be heated;
A temperature measuring device for measuring the temperature of the object to be heated,
The control device sets parameters of the plurality of coils according to the conditions set by the optimum design method in accordance with the object to be heated, passes an AC current through the plurality of coils to heat the object to be heated, and determines whether or not the temperature of the object to be heated is appropriate based on the measurement result of the temperature of the object to be heated measured by the temperature measuring device.
Induction heating device. A step of predicting and setting parameters of a plurality of coils arranged in the vicinity of an object to be heated by the optimum design method according to any one of claims 1 to 6 ;
A step of passing an alternating current through the coils to heat the object to be heated;
Measuring the temperature of the object to be heated;
A step of determining whether or not the temperature of the object to be heated is appropriate based on a measurement result of the measured temperature of the object to be heated;
13. An induction heating method comprising:

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