Material structure prediction apparatus, product manufacturing method and material structure prediction method

Patent metadata

Field	Value
Publication number	US-9767227-B2
Application number	US-201514634248-A
Country	US
Kind code	B2
Filing date	Feb 27, 2015
Priority date	Aug 31, 2012
Publication date	Sep 19, 2017
Grant date	Sep 19, 2017

Abstract

The material structure prediction apparatus includes a temperature calculator calculating temperatures at calculation points, based on a temperature condition, a nucleation count calculator calculating a nucleation count in the calculation target region, a precipitated phase generation point determining module determining, from the calculation points, a precipitated phase generation point, a grain growth calculator calculating a grain growth of the precipitated phase at the precipitated phase generation point, and a material structure prediction module predicting the structure of the material, based on the grain growth of the precipitated phase.

First claim

What is claimed is:

1. A material structure prediction apparatus predicting a structure of a material that exhibits phase transformation from a mother phase to a precipitated phase in accordance with a temperature variation, the material structure prediction apparatus comprising:
a temperature calculator configured to calculate temperatures at calculation points in a calculation target region of the material, based on a temperature condition for applying the temperature variation to the material;
a nucleation count calculator configured to calculate a nucleation count in the calculation target region, based on the temperatures at the calculation points calculated by the temperature calculator;
a precipitated phase generation point determining module configured to determine, from the calculation points, a precipitated phase generation point where a nucleus of the precipitated phase is generated, based on the nucleation count calculated by the nucleation count calculator;
a grain growth calculator configured to calculate a grain growth of the precipitated phase at the precipitated phase generation point determined by the precipitated phase generation point determining module; and
a material structure prediction module configured to predict the structure of the material, based on the grain growth of the precipitated phase calculated by the grain growth calculator.

2. The material structure prediction apparatus of claim 1 , further comprising:
a shape characteristic value calculator configured to calculate a shape characteristic value of crystal grain in the precipitated phase, based on the grain growth of the precipitated phase calculated by the grain growth calculator;
a statistic calculator configured to calculate a statistic of shape characteristic values, based on the shape characteristic value calculated by the shape characteristic value calculator; and
a material quality prediction module configured to predict a quality of the material, based on the statistic calculated by the statistic calculator.

3. The material structure prediction apparatus of claim 2 , further comprising:
an actual statistic acquisition module configured to acquire an actual statistic as a statistic of shape characteristic values actually acquired;
a nucleation count calculation correction module configured to correct a calculation formula used to calculate the nucleation count by the nucleation count calculator, based on the statistic calculated by the statistic calculator, and the actual statistic acquired by the actual statistic acquisition module.

4. The material structure prediction apparatus of claim 1 , further comprising a material quality evaluation module configured to evaluate a quality of the material, based on the structure of the material predicted by the material structure prediction module.

5. The material structure prediction apparatus of claim 1 , wherein the nucleation count calculator is configured to calculate the nucleation count, based on a free energy difference between the mother phase and the precipitated phase and a diffusion coefficient of the mother phase.

6. The material structure prediction apparatus of claim 1 , further comprising a nucleation order determination module configured to determine an order of nucleation of the precipitated phase from the mother phase at the calculation points,
wherein the precipitated phase generation point determining module is configured to determine the precipitated phase generation point, using the order of nucleation of the precipitated phase determined by the nucleation order determination module.

7. The material structure prediction apparatus of claim 1 , wherein the temperature calculator is configured to calculate the temperatures at the calculation points, based on an actual value of the temperature condition already applied to the material.

8. A method of manufacturing a product from a material that exhibits phase transformation from a mother phase to a precipitated phase in accordance with a temperature variation, the manufacturing method comprising:
controlling a temperature to apply the temperature variation to the material;
calculating temperatures at calculation points in a calculation target region of the material, based on a temperature condition for controlling the temperature;
calculating a nucleation count in the calculation target region, based on the calculated temperatures at the calculation points;
determining, from the calculation points, a precipitated phase generation point where a nucleus of the precipitated phase is generated, based on the calculated nucleation count;
calculating a grain growth of the precipitated phase at the determined precipitated phase generation point;
predicting a structure of the material, based on the calculated grain growth of the precipitated phase;
calculating shape characteristic value of crystal grain in the precipitated phase, based on the predicted structure of the material;
calculating a statistic of shape characteristic values, based on the calculated shape characteristic value; and
manufacturing the product, based on the calculated statistic.

9. The method of claim 8 , further comprising calculating a value of transformation-generation heat generated due to the phase transformation of the precipitated phase, based on the calculated grain growth of the precipitated phase,
wherein the controlling the temperature includes using the calculated transformation-generation heat value.

10. The method of claim 8 , further comprising:
predicting a quality of the material, based on the calculated statistic,
wherein the manufacturing the product is based on a prediction result of the quality of the material.

11. The method of claim 8 , further comprising evaluating a quality of the material, based on the predicted structure of the material.

12. The method of claim 11 , further comprising treating the material in a downstream process, based on an evaluation result of the quality of the material.

13. The method of claim 11 , further comprising changing the temperature condition, based on an evaluation result of the quality of the material.

14. A material structure prediction method of predicting a structure of a material that exhibits phase transformation from a mother phase to a precipitated phase in accordance with a temperature variation, the material structure prediction method comprising:
calculating temperatures at calculation points in a calculation target region of the material, based on a temperature condition for applying the temperature variation to the material;
calculating a nucleation count in the calculation target region, based on the calculated temperatures at the calculation points;
determining, from the calculation points, a precipitated phase generation point where a nucleus of the precipitated phase is generated, based on the calculated nucleation count;
calculating a grain growth of the precipitated phase at the determined precipitated phase generation point; and
predicting a structure of the material, based on the calculated grain growth of the precipitated phase.

15. The material structure prediction method of claim 14 , further comprising:
calculating a shape characteristic value of crystal grain in the precipitated phase, based on the calculated grain growth of the precipitated phase;
calculating a statistic of shape characteristic values, based on the calculated shape characteristic value; and
predicting a quality of the material, based on the calculated statistic.

16. The material structure prediction method of claim 15 , further comprising:
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Assignees

• Toshiba Mitsubishi-Electric Ind Systems Corp

Inventors

• Sano Mitsuhiko
• Ohara Kazuhiro

Classifications

• C21D11/005

  for cooling · CPC title

• C21D11/00

  Process control or regulation for heat treatments · CPC title

• B21B37/00 Primary

  Control devices or methods specially adapted for metal-rolling mills or the work produced thereby (methods or devices for measuring specially adapted for metal-rolling mills B21B38/00) · CPC title

• G06F30/20 Primary

  Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title

• C21D2211/004

  Dispersions; Precipitations · CPC title