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Inoculated alloy grain structure numerical value prediction method

A technology of numerical prediction and grain size, which is applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as low calculation efficiency of three-dimensional macroscopic field, inability to accurately predict grain structure, etc., and achieve accurate grain structure Morphological distribution, huge market application potential, and the effect of improving computational efficiency

Inactive Publication Date: 2017-07-14
HARBIN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the shortcomings of the low calculation efficiency of the three-dimensional macroscopic field and the inability to accurately predict the grain structure in the numerical prediction of the inoculated alloy grain structure in the prior art, and propose a numerical prediction method for the inoculated alloy grain structure, include:

Method used

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  • Inoculated alloy grain structure numerical value prediction method
  • Inoculated alloy grain structure numerical value prediction method
  • Inoculated alloy grain structure numerical value prediction method

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specific Embodiment approach 1

[0021] Embodiment 1: The numerical prediction method of inoculated alloy grain structure in this embodiment includes the following steps:

[0022] Step 1: Carry out macro-scale meshing of the casting system, and divide the casting system into (i,j,k) chan Several grids of , i, j, k represent the coordinate components along the X axis, Y axis, and Z axis, respectively, where the X axis, Y axis, and Z axis are arbitrary coordinate axes that are orthogonal to each other; chan represents the type of the grid. The selection of the X axis, the Y axis and the Z axis can be determined according to the actual situation. figure 2 It shows the physical picture of the casting cavity, and it is a top view. The method of selecting the three axes can be: vertically downward along the image direction is the positive direction of the X-axis, horizontally to the right along the image direction is the positive direction of the Y-axis, and along the direction of the image paper Outside is the p...

specific Embodiment approach 2

[0052] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is:

[0053] The minimum values ​​of the casting system in the X-axis, Y-axis, and Z-axis directions are respectively X min , Y min ,Z min , the maximum values ​​in the directions of X-axis, Y-axis and Z-axis are respectively X max , Y max ,Z max , Step 1 is specifically:

[0054] Step 11: Select the cross-section S1, the first auxiliary plane S2, the second auxiliary plane S3 and the coordinate axes of the grain structure to be simulated; the selection method is:

[0055] If the selection is perpendicular to the Z axis and the position is Z s1 plane, then the meshing steps adopted by the section S1 in the X-axis direction and the Y-axis direction are Δx 1 and Δy 1 ;Taking S1 as the reference plane, the section parallel to the S1 section and along the positive direction of the Z axis, and the distance from the S1 section is δ meters is S2, paral...

specific Embodiment approach 3

[0066] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is:

[0067] In step one and two, δ=0.006m.

[0068] If the selection is perpendicular to the Z axis and the position is Z s1 plane, then Δx 1 =Δy 1 , Δz 1 =0.002m, Δx 2 =3Δx 1 , Δy 2 =3Δy 1 ,Δz 2 =3Δz 1 .

[0069] If the selection is perpendicular to the X axis and the position is X s1 plane, then Δy 1 =Δz 1 , Δx 1 =0.002m, Δz 2 =3Δz 1 , Δy 2 =3Δy 1 ,Δx 2 =3Δx 1 .

[0070] If the selection is perpendicular to the Y axis and the position is Y s1 plane, then Δz 1 =Δx 1 , Δy 1 =0.002m, Δz 2 =3Δz 1 , Δx 2 =3Δx 1 ,, Δy 2 =3Δy 1 .

[0071] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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Abstract

The invention relates to an inoculated alloy grain structure numerical value prediction method, belongs to a grain structure simulation prediction method and aims to overcome the defects that in the prior art, calculation efficiency of a three-dimensional macroscopic field in inoculated alloy grain structure numerical value prediction is not high, and the grain structure cannot be accurately predicted. The inoculated alloy grain structure numerical value prediction method provided by the invention includes the steps that macroscale grid division is performed on a casting system; for all non-casting grids, an energy conservation equation is calculated, and temperature field distribution is obtained; for all casting grids, an energy conservation equation and an ingredient conservation equation are calculated; for the casting grids, a momentum conservation equation is calculated; a cellular automaton method is adopted for grain structure simulation, and the grain structure distribution in a casting at the current moment is obtained; the above steps are repeated till the solid fraction corresponding to all the casting grids is 1; and the grain structure distribution in the casting is output finally. The inoculated alloy grain structure numerical value prediction method is suitable for simulation and numerical value prediction of the inoculated alloy grain structure.

Description

technical field [0001] The invention relates to a numerical prediction method for inoculated alloy grain structure, which belongs to the simulation prediction method of grain structure. Background technique [0002] Grain structure is an important index to evaluate the performance of cast products. The performance of cast products will vary significantly according to the difference in grain structure. The parameters that characterize the grain structure, such as grain size, grain shape, and grain distribution uniformity, have a strong influence on the mechanical and physical properties of cast products. Columnar grains are called columnar grains, which are characterized by small grain boundary area and consistent orientation. The performance of casting products with a large number of columnar crystal structures has obvious directionality. The performance along the columnar crystal growth direction is good and the performance perpendicular to the columnar crystal growth dir...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B22D27/04G06F17/50
CPCB22D27/04G06F30/20
Inventor 刘东戎任莹朱泓宇郭二军马宝霞
Owner HARBIN UNIV OF SCI & TECH
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