Material organization predict device, product fabrication method, and material organization predict method

Abstract

A material organization predict device (1) comprises: a temperature calculation unit (103) which, on the basis of a temperature condition for applying a temperature change to a material, calculates temperatures at a plurality of calculation points within a region which is to be calculated of a material; a nucleation iteration calculation unit (104) which, on the basis of the temperatures at the plurality of calculation points, calculates nucleation iterations within the region to be calculated; a nucleation unit (105) which, on the basis of the nucleation iterations, determines from the plurality of calculation points a precipitation phase generation point which generates a precipitation phase nucleus; a grain growth calculation unit (106) which, with respect to the precipitation phase generation point, calculate grain growth in the precipitation phase; and, on the basis of the calculated grain growth of the precipitation phase, predicts the organization of the material.

Description

technical field [0001] The present invention relates to a material structure prediction device, a product manufacturing method, and a material structure prediction method capable of predicting the structure of a material that undergoes phase transition due to temperature change. Background technique [0002] In recent years, from the viewpoint of environmental problems and energy saving, it is desired to improve the quality of materials used for industrial products. Material properties of known materials represented by tensile strength, yield stress, or elongation are closely related to microscopic-level material organization. Therefore, by manipulating the conditions after high-temperature processing or the subsequent cooling conditions, the temperature change curve, which is an index of the temperature change applied to the material, is changed to improve the material properties of the product. [0003] In addition, if the material is ground after cooling and then observe...

AI Technical Summary

Problems solved by technology

However, for the former (nucleation), although the actual location and timing of nucleation depends on the parent phase structure and temperature changes, in the existing multiphase field method, it still stays at the initial value at the beginning of the manual setting calculation. Extremely simple considerations such as core configuration

In Patent Document 2, although nucleation due to strain energy caused by dislocations in a single crystal is considered, in polycrystalline metals represented by steel, nucleation occurs easily near the grain boundaries of the parent phase structure as is well known. crystal nuclei, etc., so there are limitations when applying the method of Patent Document 2 to the nucleation of polycrystalline metals

[0008] Therefore, in the existing multiphase field method, for the grain size and shape differences and deviations in the material structure, although the qualitative change trend of grain formation can be grasped, the nucleation behavior is not fully considered, so Quantitative prediction accuracy is not enough

Therefore, it is difficult to apply this analysis method to applications that require quantitative evaluation, such as predicting the material after cooling.

[0009] Therefore, in order to apply to quantitative evaluation of materials, etc., it is difficult to use the existing multiphase field method to predict the material structure that will cause phase transformation due to temperature changes

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