JP2010158685A - Method for verifying precision of solidification defect prediction analysis - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a method for verifying the precision of solidification defect prediction analysis, in which the temperature distribution of a die is easily reproduced to enable solidification defect prediction analysis with high precision in a short time, and further, the precision of the solidification defect prediction analysis is verified. <P>SOLUTION: Dies 11, 11 are heated, and thereafter, the dies 11, 11 are left and heat-dissipated so as to uniformize the temperature of the dies 11, 11, and then, the casting of a crude material for verifying is performed, and while the temperature is set to the above uniformized one, solidification defect prediction analysis is performed. Thus, the need of considering the temperature distribution of the dies 11, 11 is eliminated upon solidification defect prediction analysis, and the temperature distribution of the dies in actual casting and the temperature distribution of the dies in solidification analysis can be perfectly matched, and therefore solidification defect prediction analysis with high precision is made possible in a short time, and further, the precision of the solidification defect prediction analysis can be verified. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a method for verifying the accuracy of solidification defect prediction analysis, and more particularly to a technology for verifying the accuracy of solidification defect prediction analysis by CAE (Computer Aided Engineering).

  2. Description of the Related Art Conventionally, a technique for performing solidification analysis of a casting by CAE based on temperature data at the time of solidification and predicting the occurrence of solidification defects is known (for example, Patent Document 1).

Japanese Patent Laid-Open No. 7-80596

  In the solidification defect prediction analysis according to the prior art, the influence of the mold temperature distribution cannot be excluded, so it is necessary to simulate the actual mold temperature distribution and perform the solidification defect prediction analysis based on the temperature distribution. is there. However, such an analysis takes time, and it is difficult to perfectly match the temperature distribution of the mold in actual casting with the temperature distribution of the mold obtained by the solidification analysis of CAE. For this reason, as described above, there is a difference between the actually measured temperature distribution and the temperature distribution of the CAE solidification analysis, and it has not been possible to obtain a desired prediction accuracy in the solidification analysis. Further, since the difference between the measured temperature distribution and the temperature distribution of the solidification analysis of CAE affects the accuracy of the solidification defect prediction analysis, the accuracy of the solidification defect prediction analysis itself could not be verified.

  Therefore, in the present invention, in view of the above situation, it is possible to easily reproduce the solid temperature distribution in a short time by easily reproducing the temperature distribution of the mold, and further to verify the accuracy of the solidification defect prediction analysis. An accuracy verification method for solidification defect prediction analysis that can be performed is provided.

  The problem to be solved by the present invention is as described above. Next, means for solving the problem will be described.

  That is, in Claim 1, the temperature measuring tool is installed at a plurality of locations, and the verification coarse material is cast by a mold whose periphery is covered with a heat insulating material, and the temperature of the entire mold at the time of casting by the temperature measuring tool. An accuracy verification method for solidification defect prediction analysis, wherein data is measured and the accuracy of solidification defect prediction analysis of the verification rough material is verified using temperature data of the entire mold at the time of casting measured by the temperature measuring tool And heating the mold to raise the temperature of the mold to a predetermined temperature or higher, and after the temperature raising process, allowing the mold to stand for temperature equalization after the temperature raising process. The temperature measurement step and the temperature data measured by the temperature measuring instrument when the mold is temperature-equalized are recorded, and the verification is performed in the state where the mold is temperature-equalized by the temperature-equalization process. Casting of rough material for casting A measurement process for measuring a solidification defect result generated in the verification coarse material in the casting process, a model generation process for generating a verification mold model based on the mold, and a model generation process Using the verification model, the solidification defect prediction is performed by setting the temperature of the mold to the temperature of the temperature data recorded in the recording step, and performing solidification defect prediction analysis by casting the verification rough material. Comparing the analysis step with the solidification defect result measured in the measurement step and the solidification defect result predicted in the solidification defect prediction analysis step, and verifying the accuracy of the solidification defect prediction analysis, It is to be prepared.

  As effects of the present invention, the following effects can be obtained.

  According to the present invention, by easily reproducing the temperature distribution of the mold, solidification defect prediction analysis with high accuracy can be performed in a short time, and further, the accuracy of the solidification defect prediction analysis can be verified.

The schematic diagram which shows the type | mold which concerns on this invention. The flowchart figure of the accuracy verification method of the solidification defect prediction analysis which concerns on this invention. The figure which showed the change of the temperature distribution in the type | mold which concerns on this invention.

Next, embodiments of the invention will be described.
It should be noted that the technical scope of the present invention is not limited to the following examples, but broadly covers the entire scope of the technical idea that the present invention truly intends, as will be apparent from the matters described in the present specification and drawings. It extends.

As shown in FIG. 1, the method for verifying the accuracy of solidification defect prediction analysis according to the present invention is a thermoelectric device that is a temperature measuring tool at a plurality of locations of molds 11 and 11 that are covered with heat insulating materials 12 and 12 so that heat does not escape. The pair obtained by casting a verification coarse material into the mold 11 and measuring the temperature distribution of the mold by the thermocouple 14 performed at the time of casting. 11 is performed using the entire temperature data.
More specifically, the molds 11 and 11 whose surroundings are covered with the heat insulating materials 12 and 12 are disposed in the molding machines 13 and 13 configured to be relatively close to and away from each other. For the molds 11 and 11, for example, a mold made of iron or the like is used, and for the heat insulating materials 12 or 12, for example, a material made of synthetic resin or the like is used, but the configuration is limited. Is not to be done. In addition, a plurality of thermocouples 14, 14,... Are disposed inside the molds 11, 11 as a whole, and are configured to be able to detect the temperature distribution of the molds 11, 11. . A cavity C is formed between the molds 11 and 11 thus configured when the molding machines 13 and 13 come close to each other, and a rough material such as molten aluminum is cast into the cavity C by die casting. At that time, the temperature distribution data of the molds 11 and 11 are detected by the thermocouples 14 and 14.

Next, a method for verifying the accuracy of solidification defect prediction analysis will be specifically described with reference to FIGS.
The method for verifying the accuracy of solidification defect prediction analysis according to the present invention includes a temperature raising step of heating the molds 11 and 11 to raise the temperature of the molds 11 and 11 to a predetermined temperature or higher, and after the temperature raising process. And soaking the molds 11 and 11 so that the molds 11 and 11 are soaked, and a temperature of the thermocouples 14 and 14 when the molds 11 and 11 are soaked. Recording the temperature data obtained by the measurement, a casting process for casting the verification coarse material in a state where the molds 11 and 11 are temperature-uniformed by the temperature-uniforming process, and the casting The solidification defect result generated in the verification coarse material in the process is actually measured, the verification mold model is generated based on the molds 11 and 11, and the model generation process is generated in the model generation process. Using the mold model for verification, the temperature of the molds 11 and 11 is Is set to the temperature of the temperature data recorded in the recording step, and a solidification defect prediction analysis process is performed by casting a verification coarse material, and a solidification defect result measured in the measurement step and the solidification defect result A verification step of comparing the solidification defect result predicted in the defect prediction analysis step and verifying the accuracy of the solidification defect prediction analysis.

Each step will be described in detail below.
First, the molds 11 and 11 are heated to increase the temperature of the molds 11 and 11 (temperature raising step / step S1). Specifically, the temperature of the molds 11 and 11 is measured by observing the monitoring temperature, which is a measurement temperature by the thermocouples 14, 14. Is raised.
A change in the temperature distribution of the molds 11 and 11 in the temperature raising step is indicated by a section P1 shown in FIG. Graphs D1, D2, and D3 in FIG. 3 show changes in temperature data detected by the thermocouples 14 and 14 disposed in the molds 11 and 11, respectively. As shown in graphs D1, D2, and D3 in FIG. 3, the temperature of the molds 11 and 11 in the section P1 rises intermittently by the casting.
In this specification, for convenience of explanation, the graphs D1, D2, and D3 are described as three data, but in reality, as many temperature data graphs as the number of thermocouples 14, 14,. become. Further, in the molds 11 and 11, the temperature in the vicinity of the cavity C from which the coarse material is injected becomes higher than that in other portions. In the present embodiment, the result of the graph D1 is the highest and the result of the graph D3 is the lowest. In the present embodiment, the temperature of the molds 11 and 11 is raised by casting in the temperature raising step, but other temperature raising configurations such as a configuration of heating with a heater are also possible.

  Next, it is determined whether or not the temperature of the molds 11 and 11 has risen above a predetermined temperature (step S2). Specifically, it is determined whether or not at least one of the monitoring temperatures detected by the thermocouples 14, 14,... If it is determined in step S2 that at least one of the monitoring temperatures by the thermocouples 14, 14,... Has become equal to or higher than the predetermined temperature T1, the process proceeds to step S3. On the other hand, if it is determined that at least one of the monitoring temperatures is not equal to or higher than the predetermined temperature T1, the process proceeds to step S1, and the processes of steps S1 to S2 are repeated. In this embodiment, the process of step S1-step S2 is repeated, and it is set as the structure which raises the temperature of type | mold 11 * 11 by performing casting several shots. For this reason, the graphs D1, D2, and D3 each have a result that the temperature rises step by step for each casting operation. In the present embodiment, it is determined whether one of the monitoring temperatures is equal to or higher than the predetermined temperature T1, but the average value of the monitoring temperatures obtained by the thermocouples 14, 14,. It is also possible to adopt a configuration for determining whether or not the above has been reached.

  Next, the molds 11 and 11 are allowed to stand, and the temperatures of the molds 11 and 11 are made uniform (temperature equalization step, step S3). The change of the temperature distribution of the molds 11 and 11 in the temperature equalization process is indicated by a section P2 shown in FIG. As shown in the graphs D1, D2, and D3 in the section P2 in FIG. 3, the molds 11 and 11 in the present embodiment are covered with the heat insulating materials 12 and 12, so that heat is gradually dissipated and the temperature decreases. The molds 11 and 11 are soaked as a whole by heat conduction. That is, in order to prevent the heat insulating materials 12 and 12 from rapidly radiating heat from the molds 11 and 11, a portion having a relatively low temperature shown by the graph D3 from a portion having a relatively high temperature shown by the graph D1 during that time. Heat is transmitted to the mold 11, and the entire temperature of the molds 11 and 11 becomes substantially uniform.

Next, it is determined whether or not the molds 11 and 11 are soaked (step S4). Specifically, it is determined whether or not the monitoring temperatures detected by the thermocouples 14, 14. More specifically, for example, whether the monitoring temperatures are uniform is determined based on whether or not the difference between the monitoring temperatures detected by the thermocouples 14, 14... Falls within a predetermined range.
If it is determined in step S4 that the monitoring temperatures detected by the thermocouples 14, 14,... Have become uniform, the process proceeds to step S5. On the other hand, if it is determined that the monitoring temperature is not uniform, the process proceeds to step S3, and the processes of steps S3 to S4 are repeated.

  Next, the temperature data obtained by the thermocouples 14, 14... When the molds 11 and 11 are temperature-equalized, the analysis unit (not shown) comprising input means, display means, calculation means, storage means, etc. Is recorded in the storage means (recording step, step S5).

  Next, the verification crude material is cast in a state where the molds 11 and 11 are soaked (casting step / step S6). A change in the temperature distribution of the molds 11 and 11 in the casting process is indicated by a section P3 shown in FIG. As shown in graphs D1, D2, and D3 in FIG. 3, the temperatures of the molds 11 and 11 in the section P3 are temporarily increased by performing casting in the casting process. Due to the casting operation in the casting process, a solidification defect may occur in the verification rough material.

  Next, the solidification defect result generated in the verification rough material in the casting step is measured (measurement step / step S7). Specifically, X-ray imaging and CT imaging are performed on the detection rough material obtained in the casting process, and the position and size of the solidification defect are measured.

  Next, the analysis unit generates a verification mold model based on the molds 11 and 11 (model generation step / step S8).

  Next, the analysis unit uses the verification mold model generated in the model generation step to set the temperature of the temperature data recorded in the recording step, so that a solidification defect prediction analysis by casting of the verification coarse material is performed. (Solidification defect prediction analysis step / step S9). By the solidification defect prediction analysis, solidification defects generated in the verification coarse material are predicted. At this time, since the temperature data recorded in the recording step is the temperature data obtained by the thermocouples 14, 14... When the molds 11 and 11 are soaked, the temperature data is used. By performing the solidification defect prediction analysis, the temperature distribution of the molds 11 and 11 in actual casting can be completely matched with the temperature distribution of the molds 11 and 11 in the solidification analysis. Further, since the temperatures of the molds 11 and 11 are uniform, it is not necessary to consider a complicated temperature distribution in the molds 11 and 11, and the time required for solidification defect prediction analysis can be shortened.

  Next, the solidification defect result measured in the actual measurement step is compared with the solidification defect result predicted in the solidification defect prediction analysis step (verification step / step S10). Specifically, by comparing the position and size of the solidification defect measured in the measurement process with the position and size of the solidification defect predicted in the solidification defect prediction analysis process, the accuracy of the solidification defect prediction analysis is compared. Is verified. That is, if the positions and sizes of both solidification defects are similar, the accuracy of solidification defect prediction analysis is high, while if they are different, it can be determined that the accuracy is low.

As described above, in the solidification defect prediction analysis according to the present invention, after the temperatures of the molds 11 and 11 are made uniform, the verification roughing material is cast, and the solidification defect prediction analysis is performed by setting the temperature so as to be equalized. The configuration is to be performed.
As a result, the temperature distribution of the molds 11 and 11 in actual casting completely matches the temperature distribution of the molds 11 and 11 in the solidification analysis, so that the temperature distribution of the molds 11 and 11 can be easily reproduced. That is, a highly accurate solidification defect prediction analysis can be performed in a short time. Furthermore, the accuracy of the solidification defect prediction analysis can be verified by comparing the solidification defect result actually measured in the measurement process and the solidification defect result predicted in the solidification defect prediction analysis process.

11 type 12 heat insulating material 13 molding machine 14 thermocouple

Claims (1)

Casting the verification coarse material with a mold with temperature measuring tools installed in a plurality of places and covered with a heat insulating material, and measuring the temperature data of the entire mold at the time of casting with the temperature measuring tool,
Using the temperature data of the entire mold at the time of casting, measured by the temperature measurement tool, to verify the accuracy of the solidification defect prediction analysis of the verification coarse material,
A temperature raising step of heating the mold to raise the temperature of the mold to a predetermined temperature or higher;
After the temperature raising step, the temperature of the mold is allowed to stand by allowing the mold to stand, and
A recording step of recording temperature data measured by the temperature measuring tool when the mold is soaked; and
A casting step of casting the verification coarse material in a state where the mold is temperature-uniformed by the temperature-uniforming step;
An actual measurement process for actually measuring a solidification defect result generated in the verification coarse material in the casting process;
A model generation step of generating a verification type model based on the type; and
Using the verification mold model generated in the model generation step, setting the temperature of the mold to the temperature of the temperature data recorded in the recording step, solidification defect prediction analysis by casting of the verification coarse material A solidification defect prediction analysis process,
Comparing the solidification defect result measured in the measurement step and the solidification defect result predicted in the solidification defect prediction analysis step, and verifying the accuracy of the solidification defect prediction analysis, and a verification step.
A method for verifying the accuracy of solidification defect prediction analysis.

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