JPH11353035A - Device and method for analyzing characteristics of heating medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable accurate heat conduction analysis by shortening time for generating a large and complicated model such as a metal die. SOLUTION: A heating medium 16 for the electric operation of an electric heater or the like and temperature detecting bodies 17 and 18 are provided in a temperature control block 11 such as a metal block and, based on the temperature information of the temperature detecting body 17, approximate modeling is performed to the temperature control block 11 while using the result tested by a temperature control testing device 1 for performing temperature control such as PID control and a finite element method or the like. Then, the optimum approximate model and optimum parameter of the heating medium 16 are found so as to match that approximate model with the analytic data of a heat conduction analyzer 2 for analyzing a temperature change or temperature distribution.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an apparatus and method for analyzing characteristics of a heating medium, and more particularly to a technique for analyzing heat conduction of a mold for controlling the temperature by an electric heater or the like or a temperature controlled object other than the mold.

[0002]

2. Description of the Related Art In a mold or the like that requires temperature control,
In order to study the arrangement of a heating medium or a cooling medium, heat conduction analysis by a finite element method or the like is widely performed today. In the molding field, as the required precision of molded products increases, high-precision temperature control is required. Therefore, high-precision analysis accuracy is also required in heat conduction analysis during design or when examining temperature control conditions. Is required. The analysis accuracy of the analysis software has been dramatically improved to meet such demands.

Here, in order to perform a highly accurate analysis,
It is indispensable to identify important points in terms of heat conduction characteristics and create an accurate approximate model. If this is not done, a large deviation from the actual temperature distribution will occur even if the number of elements is increased and software with high analysis accuracy is used. Therefore, basically, a portion considered to be important in terms of heat conduction characteristics is to be subjected to analysis by creating an approximate model while increasing the number of element divisions, particularly in accordance with the drawing specifications.

[0004]

However, in practice, there is often a discrepancy between the analysis results and the experimental results, and as high analysis accuracy is demanded, the difference between levels which was not previously considered a problem is reduced. Is becoming a problem. And
Such a shift tends to be a problem particularly when there is a heating medium in the vicinity of the temperature control target portion where analysis accuracy is required. This is because a large difference in temperature near the heating medium causes a slight difference between the model and the actual one to be effective.

[0005] However, even if an attempt is made to improve the approximation model to correct such a deviation, for example, since a mold has many parts, it is difficult to specify a place to be corrected. Due to the large number, the time required for correction and re-analysis is enormous, and the improvement is often abandoned. Further, in the analysis at the time of design, it cannot be determined whether the analysis result itself is accurate.

SUMMARY OF THE INVENTION The present invention has been made in view of such a background, and has a heating medium capable of shortening the time required to create a large and complicated model of a mold or the like and performing an accurate heat conduction analysis. It is an object to provide a characteristic analysis device and a characteristic analysis method.

[0007]

According to one aspect of the present invention, there is provided a temperature control block having at least one heating medium for power operation and at least one temperature detector, A temperature control experimental device having a program controller for performing temperature control by on / off, proportional, proportional integral, or proportional integral derivative control of the amount of output power to the heating medium based on the temperature information of the temperature control block; and the temperature control block. Means for creating an approximate model corresponding to the above, means for creating a subroutine for analysis for simulating the operation and control operations of the program controller, means for creating a parameter setting file describing parameters in the approximate model, the approximate model and the analysis It has a subroutine and an operation means for performing heat conduction analysis in time series from the parameter setting file. A thermal conduction analysis apparatus and is characterized with the experimental data of the temperature control experimental device, and a data comparison apparatus for studying the integrity of the analysis data of the thermal conduction analysis device, further comprising: a.

[0008] In order to achieve the above object, a second aspect is provided.
According to the invention described in claim 1, in the invention described in claim 1, the temperature control experimental device has a temperature measurement device and at least two or more temperature detectors for measurement, and detects a temperature change of a temperature control target during temperature control. It is characterized by being able to measure and record measurement data. To achieve the above objectives,
According to a third aspect of the present invention, in the first or second aspect of the present invention, the heat conduction analysis in the heat conduction analyzing apparatus is based on a finite element method.

According to another aspect of the present invention, the above object is achieved.
The invention described in any one of claims 1 to 3 is characterized in that the heating medium is an electric heater.

[0010] In order to achieve the above object, the present invention is directed to claim 5.
The described invention has a heating medium for power operation such as an electric heater and a temperature detector in a temperature control block such as a metal block, and performs temperature control such as PID control based on temperature information of the temperature detector. Perform temperature control experiments including each process of temperature rise, heat retention, and cooling with the temperature control experiment equipment to be performed, measure the temperature change at multiple positions, and approximate the measured data and the temperature control block using the finite element method etc. Modeling, and by repeating the correction and analysis of the approximate model and parameters of the experimental apparatus until the analysis data of the heat transfer analysis apparatus for analyzing the temperature change or temperature distribution from the approximate model is consistent, whereby the heating medium It is characterized in that an optimal approximate model and parameters are obtained.

According to another aspect of the present invention, there is provided an electronic apparatus comprising:
According to a fifth aspect of the present invention, in the fifth aspect of the invention, in the modification of the approximate model and the parameters of the temperature control experiment apparatus, the heating range and the calorific value in the approximate model of the heating medium unit are corrected. It is.

According to another aspect of the present invention, there is provided a semiconductor device comprising:
According to the invention described above, in a heat conduction analysis of a mold including at least one heating medium for electric power operation, the heating medium or a heating medium similar to the heating medium is optimized by the analysis method according to claim 5 or 6 in advance. The method is characterized in that an approximate model and an optimal parameter are obtained, and a heat transfer analysis is performed from an approximate model, a parameter setting file and an analysis subroutine using the optimal approximate model and the optimal parameter at least in part.

As described above, according to the present invention, a heating medium for power operation such as an electric heater and a temperature detector are provided in a temperature control block such as a metal block, and a PID based on the temperature information of the temperature detector is provided. The experimental results obtained by the temperature control experiment device that performs temperature control such as control, and the analysis data of the heat conduction analysis device that converts the temperature control block into an approximate model using the finite element method and analyzes the temperature change or temperature distribution from the approximate model Thus, the optimum approximation model and the optimum parameters of the heating medium are determined so as to match the above. This makes it possible to create large and complex models such as molds,
Since the optimum approximate model and parameters can be used for the heating medium as they are, the model creation time can be reduced, and as a result, accurate heat conduction analysis can be performed. In addition, according to the present invention, a model having a small number of elements can be created by using an optimum model having a minimum necessary number of elements in advance in the case of a model such as a mold, thereby shortening the analysis time. You can do it.

[0014]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram of a heating medium characteristic analyzer showing an embodiment of the present invention, and FIG. 2 is a block diagram of a temperature control experiment device. As shown in FIG. 1, the heating medium characteristic analysis device includes a temperature control experiment device 1, a heat conduction analysis device 2, and a data comparison device (personal computer) 3 for examining the consistency between the experimental data and the analysis data. You.

First, the temperature control experiment apparatus 1 includes a metal block (hereinafter, referred to as a temperature control block) 11 for performing temperature control using a heating medium operated by electric power, a program controller 12, a temperature measurement device 13, It has a storage device 14 and a temperature control rule setting unit 15. In addition,
Although the data storage device 14 is shown in the temperature control experiment device 1 in FIG. 1, it may be provided in the personal computer 3 as shown in FIG.

In the temperature control block 11, a heating medium 16, a control temperature detector 17 and a measurement temperature detector 18 are provided, and the temperature information from the control temperature detector 17 and the control rule setting are set. Based on the temperature setting set by the unit 15, the program controller 12 controls the output power of the heating medium 16 by a proportional-integral-differential operation or the like, so that the temperature of the temperature control block 11 is controlled. Also, during this temperature control, the temperature information obtained by the measurement temperature detector 18 is stored in the data storage device 14 through the temperature measurement device 13.

Next, the heat conduction analyzer 2 will be described.
This is the approximate model 2 corresponding to the temperature control block 11.
1. A parameter setting file 22 describing parameters for analysis such as physical property values, and an analysis subroutine 23 for simulating operation and control operations of the program controller 12 at the time of analysis. , Parameter setting means 25, subroutine creation means 26) and data storage device 27,
Further, there are an arithmetic means 28 and an analysis data storage device 29 for performing a heat conduction analysis in a time series from these data. The calculation means 28 is controlled by the analysis program 30.

In the present invention, using such a device, a temperature control experiment including the steps of heating, keeping, and cooling, which will be described later, is performed by the temperature control While measuring and recording the temperature change, a heat conduction analysis is performed while correcting the above-described approximation model and parameters so that the actual measurement value and the analysis value can be matched. And a parameter setting and analysis subroutine.

Hereinafter, a specific operation will be described based on an embodiment. (Embodiment 1) FIG. 3 is a three-dimensional perspective view of a temperature control block, FIG. 4 is a diagram showing a heater subjected to analysis, (A) shows a single type, and (B) shows a three-part type. FIG. 5 is a diagram showing a controller temperature setting pattern (A) and a temperature measurement data pattern (B).

As shown in FIG. 3, the temperature control block 11
Has a size of 60 mm × 60 mm and is made of steel, and is suspended by four cords 20 having low thermal conductivity via small rings 19 attached to the upper four corners, thereby minimizing heat conduction with the outside. In addition, a hole having a diameter of 15 mm is penetrated in the longitudinal direction, and an electric heater (heating medium 16) shown in FIG. 4A and a control thermocouple (control temperature detector 17) in the vicinity thereof are further inserted therein. The thermocouples for measurement (measurement temperature detectors 1 for measurement) were installed at five locations along the longitudinal direction of the heater.
8) is installed. Then, the temperature was set in the program controller 12 connected to the heater, a temperature control experiment was performed, and the temperature changes at the five thermocouple positions during the temperature control were measured and recorded.

Here, the temperature is set as shown in FIG.
After keeping the temperature constant at 20 ° C., the temperature is kept at 160 ° C. for 4 minutes.
The temperature was kept constant at 20 ° C., and the control method was proportional control, and the proportional band was 10 ° C. In this case, the obtained measurement data has a curve as shown in FIG. The temperature was set in a temperature range in which the heating medium was actually used. The larger the upper and lower limits of the temperature setting, the easier it is to compare the data.

FIG. 6 shows a finite element model in which the temperature control block 11 shown in FIG. The central portion of the block models a heater portion, and the model has a shape conforming to the shape of the heater as shown in FIG. 7B, and the heat generation range thereof is also shown in FIG. 7A. Initially, the shape was set in accordance with the shape of the heat generating part in.

Next, FIG. 8 shows a flowchart of the heating medium characteristic analysis method of the present invention. First, a temperature control experiment is performed in the above-described manner (S1), and while temperature data is measured and recorded, a model that approximates the temperature control block 11 is created (S1).
2). Next, an analysis subroutine for simulating a program controller operation for performing temperature control based on the temperature control setting at the time of analysis is created (S3).
A parameter setting file 22 describing parameters for analysis such as physical property values is created to prepare for analysis (S
4).

Then, an analysis program 30 based on the finite element method is executed on the data on the calculation means 28 to perform calculations in time series, and the analysis data is stored in the data storage device 2.
9 (S5). Next, the obtained analysis data is compared with the experimental data, and its consistency is confirmed in terms of temperature change and temperature distribution (S6). (However, the determination of the consistency here differs depending on the required level of the temperature control accuracy).

If the consistency cannot be obtained (S6
The process of correcting the approximation model and the analysis parameters (S7) and performing re-analysis is repeated until it is determined that consistency has been obtained. However, if it is determined that a fundamental correction is necessary, the process is repeated from the first operation, that is, the operation of creating the entire approximate model.

When the consistency is obtained (OK in S6),
At this point, the optimal approximation model and parameters of the heating medium 16 should have been obtained, but the experimental values may be wrong or the coincidence may have been obtained by accident.
Again, for an experiment at another temperature setting, analysis is performed using the same model and parameters (S8), and a verification operation is performed in a manner to determine the consistency between the analysis value and the experimental value (S9). OK), the characteristic analysis ends.

Here, the temperature control block 11,
And the physical properties of the heater tube (specific heat, thermal conductivity, density), ambient temperature, etc., are known. What is unknown is the heat transfer coefficient of the block surface. The same value can be used as long as it does not change), the maximum heating value of the heater (how much heat is generated when the supplied power is the maximum), and the heat generation distribution. Analysis has shown that this is an important part of raising.
Therefore, the main correction work is to make corrections for these three points so as to match the experimental values. Accordingly, the concrete model and parameter correction judgment and operation are as shown in FIG.

FIGS. 10A and 10B are explanatory diagrams showing changes in the analysis values in the first embodiment. FIGS. 10A and 10B show temperature change graphs, and FIGS. 10B and 11B show temperature distribution graphs.

As shown in FIG. 9, the heat transfer coefficient of the surface of the temperature control block is corrected and re-analyzed so that the cooling rate of the linear portion in the temperature change graph of the obtained experimental data and analysis data is the same. (NG in S11 and S12, S1
3) (The cooling rate is substantially determined by the heat capacity and heat transfer coefficient of the block, and the heat capacity is known among them).

If the cooling rates match in this operation (S12
OK), and then, so that the heating rate of the linear portion matches,
Correct the maximum heat generation setting and re-analyze (NG at S14,
(S15, S11) (The power supply to the heater is the maximum in the linear portion, and the heating rate there is determined by the heat capacity of the block, the heat transfer coefficient, and the maximum heating value of the heater, and is unknown at this time. The only thing is this maximum heating value).

When the patterns of the temperature change graphs substantially match in the work up to this point, the heat generation distribution is then determined in the temperature distribution graph (temperature at each point) when the heat retention is stable so that the experimental value and the measured value match. Modify the heater part model, such as changing it, and repeat the re-analysis (NG, S
17, S11) (see FIG. 10). Then, once the consistency is obtained, the optimal model is completed at this point. After that, experiments and analyzes are performed to change the proportional bandwidth to 5 ° C in the temperature setting, and the consistency is verified. Was.

In this embodiment, finally, the heat transfer coefficient on the block surface is corrected, and the heater is further reduced by 8 mm in the heater end portion (lead wire side) with respect to the specification on the drawing. In addition, the analysis result and the experiment result almost match at a practically sufficient level (in this case, ± 0.5 ° C. level at all measurement points and all processes) by reducing the maximum calorific value by about 8% of the maximum supply power. The results were obtained (both conditions).

The reason why the substantial heat generation distribution differs from the heat generation distribution in the drawing specifications is as follows. In the case of the heater, it is considered that all the portions in which the lines are simply wound have the same heat generation amount in the drawing. Actually, it is considered that the difference in heat capacity of the ends of the heater tubes or the heat radiation or heat conduction at the ends of the heater causes the amount of heat generated at the ends to escape to other parts, and does not necessarily contribute to the heating of the temperature control target.

As described above, since the substantial heat generation distribution does not always match the heat generation distribution in the drawing specifications, in order to improve the analysis accuracy, the heat generation distribution (heat generation amount and heat generation range) in the approximate model of the heating medium 16 is required. Consideration is important. In order to do this, it is effective to use the characteristic analysis device of the present invention to find an optimal approximate model capable of reproducing a substantial heat generation distribution.

(Embodiment 2) The heating medium for characteristic analysis in Embodiment 2 is a three-division type electric heater shown in FIG. 4B. This was attached to the temperature control block 11 shown in FIG. 3 which is the same as the first embodiment, and the same experiment as in the first embodiment was performed. However, a control thermocouple was set in the vicinity of each of the three heating units, and each of the three heating units was connected to an individual program controller to individually perform temperature control. Thermocouples for measurement were installed at eight locations along the longitudinal direction of the heater.

The temperature setting (1) is such that the two heating parts at both ends are kept at a constant 120 ° C., then kept at 160 ° C. for 4 minutes, and kept at a constant 120 ° C. again. After maintaining the temperature at 115 ° C, 4 at 155 ° C
It was set to hold for 115 minutes at 115 ° C. again.
In the temperature setting (2), the three heating units were kept at 120 ° C., then kept at 160 ° C. for 4 minutes, and kept at 120 ° C. again. And the model was verified for the experiment of temperature setting (2).

As a result, finally, the heat transfer coefficient of the surface of the temperature control block 11 is used as it is in the first embodiment, and the maximum heat generation is reduced by about 8% with respect to the maximum supply power. In the heat generation distribution, the heating element on the lead wire side is reduced by 5 mm on the lead wire side,
For the heating element on the side opposite to the lead wire, the heating section is shortened by 2.5 mm on the end side of the heater tube, while the entire setting of the heating section is shifted by 2 mm toward the lead wire side in the longitudinal direction, so that a practically sufficient level ( Here, at all measurement points and at all processes, the results obtained were almost consistent between the analysis results and the experimental results at the level of ± 0.5 ° C.). Here, it is considered that the reason why the heater position had to be shifted was that the heater installation position was shifted by that amount in the experiment.

FIG. 11 (A) shows the temperature distribution when the heat retention is stable in the temperature setting (1). At the beginning of the analysis, as shown in the above, temperature differences were generated at all positions, and at the same time, it was not possible to reproduce a slight left-right asymmetry of the temperature distribution.
It can be seen from the above correction that the temperature distribution can be reproduced very accurately over the entire area as shown in FIG.

Next, FIG. 11B is a graph showing the temperature distribution at the time when the temperature is kept stable among the experimental and analysis data for the temperature setting (2), which was performed as a verification of the optimal model obtained here.
Shown in It can be seen that the temperature distribution can be reproduced very well even when the conditions are changed as described above.

In the first and second embodiments, in order to ensure the accuracy of the temperature control experiment, the degree of adhesion between the heater and the temperature control block 11 is checked, and the measurement and control variations are checked by repeating the experiment several times. Checking the performance difference between the temperature detectors, checking the relative temperature measurement error between the controller 12 and the measuring device 13, stabilizing the temperature around the temperature control block, and eliminating the wind.

With the above flow, the optimal approximate model and parameters of the heating medium for heat conduction analysis can be derived. Then, by using the model obtained in the heat conduction analysis of a mold having a heating medium such as a heater, it is possible to quickly create a model with good approximation accuracy for a heating medium portion requiring caution in modeling. Thus, it is possible to perform analysis with much higher accuracy than before.

Further, even when the analysis accuracy cannot be actually verified and the model cannot be corrected, such as in the analysis at the time of design, effective analysis can be performed with confidence. Also, when examining the optimal approximation model, reproduce the substantial heat generation distribution,
By creating a model with as few elements as possible in a range that can be analyzed at a practically sufficient level, an approximate model with a small number of elements is then used for heat conduction analysis of molds and others using a heating medium that has been studied. Has the effect of shortening the analysis time. (Normally, when analysis accuracy is required, it is not possible to judge how much the number of elements can be reduced. Will increase).

When the optimal model and parameters obtained by the characteristic analyzing apparatus of the present invention are used for the heat conduction analysis of the mold, the result of the same heating medium as that used for the mold is used. Although it is ideal to estimate and use the optimal model and parameters of the heating medium actually used from the optimal models and parameters obtained for similar shapes, the present invention is effective. Methods are also included in the category.

In this embodiment, an electric heater is used as the heating medium 16. However, the heating medium 1 which can be controlled by the program controller 12 in PID control or on / off control is used.
If it is 6, the apparatus and method of the present invention are effective, and the present invention is not limited to the electric heater to be analyzed. Also,
The analysis method used here is the finite element method. However, the method is not limited to the finite element method as long as it can perform temperature analysis and reproduce the heat generation distribution of the heater. For example, a boundary element method or a difference method may be used.

In this embodiment, the temperature control block 1
Although steel was used as the material of No. 1, any material may be used. However, it is considered that it is best to use the material of the temperature control object that uses the model of the heating medium 16 obtained thereafter.
Further, in the present embodiment, the temperature control pattern is a pattern of temperature rise, heat retention, and cooling. However, the temperature control pattern is not limited to this, and may be any pattern that easily reflects the difference in parameter values. For example, a heating pattern, a heating pattern, and a cooling pattern may be individually tested.

[0046]

According to the first aspect of the present invention, it is possible to investigate the characteristics of the heating medium and to derive an optimal analysis model and parameters for the heat conduction analysis, and to utilize the same heating medium. By using the temperature control in various analyses, it is possible to perform a highly accurate analysis.

According to the second aspect of the present invention, it is possible to obtain effective experimental data required in the characteristic analysis process for confirming the consistency with the analysis result.

According to the third aspect of the present invention, it is possible to carry out a heat conduction analysis having an actually effective analysis accuracy.

According to the fourth aspect of the present invention, it is possible to derive an optimum analysis model and parameters of an electric heater widely used as a heating medium, and to derive the optimum model and parameters for temperature control using the electric heater. By using it for accurate analysis, highly accurate analysis can be performed.

According to the fifth aspect of the invention, the same effects as those of the first aspect of the invention can be obtained.

According to the sixth aspect of the present invention, it is possible to derive an optimum analysis model and parameters of a heating medium that are actually effective.

According to the seventh aspect of the present invention, highly accurate analysis can be performed even in heat conduction analysis at the time of design or the like where verification work cannot be performed. In addition, since the optimal model can be diverted as it is for the heating medium, the work of creating the analytical model is greatly reduced, and at the same time, the optimal model with as few elements as possible is obtained in advance, so that the heat conduction of the mold can be reduced. Since a model having a small number of elements can be created in the analysis, the analysis time can be reduced.

[Brief description of the drawings]

FIG. 1 is a block diagram of a heating medium characteristic analyzing apparatus according to an embodiment of the present invention.

FIG. 2 is a block diagram of a temperature control experiment device.

FIG. 3 is a three-dimensional perspective view of a temperature control block.

FIG. 4 is a diagram showing a heater on which an analysis is performed.

FIG. 5 is a diagram showing a controller temperature setting pattern and a temperature measurement data pattern.

FIG. 6 is a schematic diagram showing an approximate model of a temperature control block.

FIG. 7 is a diagram showing an actual shape and an approximate model of a heater section.

FIG. 8 is a flowchart of a heating medium characteristic analysis method.

FIG. 9 is a flowchart of an approximate model and parameter correction.

FIG. 10 is an explanatory diagram illustrating a change in an analysis value according to the first embodiment.

FIG. 11 is an explanatory diagram showing a correspondence between an analysis value and an experimental value in the second embodiment.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Temperature control experimental device 2 Heat conduction analyzer 3 Personal computer 11 Temperature control block 12 Program controller 13 Temperature measuring device 14 Data storage device 16 Heating medium 17 Control temperature detector 18 Measurement temperature detector 21 Approximate model 22 Parameter setting file 23 Analysis subroutine 28 Calculation means 29 Data storage device

──────────────────────────────────────────────────の Continued on the front page (51) Int.Cl. ⁶ Identification code FI // B29C 45/73 B29C 45/73

Claims (7)

[Claims] 1. A temperature control block having at least one heating medium and at least one temperature detector for power operation, and turning on / off or proportionally outputting electric power to the heating medium based on temperature information of the temperature detector. Or, a temperature control experimental device having a program controller for performing temperature control by performing proportional integral or proportional integral derivative control, a means for producing an approximate model corresponding to the temperature control block, and simulating operation and control operations of the program controller Means for creating an analysis subroutine to be performed, parameter setting file creation means for describing parameters in the approximate model, and arithmetic means for performing heat conduction analysis in a time series from the approximate model, the analysis subroutine and the parameter setting file. Heat conduction analysis device, experimental data of temperature control experiment device, heat conduction analysis Heating medium characteristic analyzing apparatus being characterized in that and a data comparison apparatus for studying the integrity of the analysis data of the location. 2. The temperature control experiment device according to claim 1, wherein the temperature control experiment device includes at least two temperature measurement devices.
A heating medium characteristic analyzing apparatus having at least one temperature detector for measurement, capable of measuring a temperature change of a temperature controlled object during temperature control, and recording measured data. 3. The heating medium characteristic analyzer according to claim 1, wherein the heat conduction analysis in the heat conduction analyzer is performed by a finite element method. 4. The heating medium characteristic analyzing apparatus according to claim 1, wherein the heating medium is an electric heater. 5. A heating medium for power operation such as an electric heater and a temperature detector are provided in a temperature control block such as a metal block, and temperature control such as PID control is performed based on temperature information of the temperature detector. Perform temperature control experiments including each process of temperature rise, heat retention, and cooling with the temperature control experiment equipment to be performed, measure the temperature change at multiple positions, and approximate the measured data and the temperature control block using the finite element method etc. By modeling and repeating the correction and analysis of the approximation model and parameters of the experimental device until the analysis data of the heat conduction analysis device for analyzing the temperature change or the temperature distribution from the approximation model matches, A method for analyzing characteristics of a heating medium, wherein an optimal approximation model and parameters are obtained. 6. The heating medium characteristic according to claim 5, wherein, in the correction of the approximate model and the parameters of the temperature control experiment apparatus, a heating range and a heating value in the approximate model of the heating medium unit are corrected. analysis method. 7. In a heat conduction analysis of a mold including at least one heating medium for power operation, said heating medium or a heating medium similar to said heating medium is optimized by the analysis method according to claim 5 or 6. A heating medium characteristic analysis method comprising: obtaining an approximate model and an optimal parameter; and performing a heat transfer analysis from an approximate model, a parameter setting file, and an analysis subroutine using the optimal approximate model and the optimal parameter at least partially.