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Numerical modeling method for magnesium alloy dendritic structure

A dendrite structure and numerical simulation technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problem that the growth kinetic model of the close-packed hexagonal dendrite tip is unclear and cannot accurately predict magnesium alloy dendrites. Crystal growth and other problems, to achieve the effect of long equipment use

Inactive Publication Date: 2014-09-03
HARBIN UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to solve the current problem that the growth of magnesium alloy dendrites cannot be accurately predicted and the kinetic model of dendrite tip growth in close-packed hexagonal crystal system is unclear, and a method for numerical simulation of magnesium alloy dendrite structure is proposed

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  • Numerical modeling method for magnesium alloy dendritic structure
  • Numerical modeling method for magnesium alloy dendritic structure
  • Numerical modeling method for magnesium alloy dendritic structure

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specific Embodiment approach 1

[0025] Specific Embodiment 1: A method for numerical simulation of a magnesium alloy dendrite structure in this embodiment is specifically carried out in accordance with the following steps:

[0026] Step 1. Subdividing the magnesium alloy dendrite growth calculation domain into a micro-scale grid, wherein the micro-scale grid adopts a hexagonal grid with a side length of L;

[0027] Step 2. The hexagonal grid distribution adopts the odd-numbered row and even-numbered row dislocation distribution mode as follows: figure 2 , the first grid in the even-numbered row is a half grid (the right half grid of the hexagonal grid), and the last grid is a half grid (the left half grid of the hexagonal grid);

[0028] Step 3, assign each hexagonal grid or hexagonal semi-grid to the neighbor object, and determine the calculation area for simulating the magnesium alloy dendrite structure model;

[0029] Step 4. Determine the number of equiaxed crystal nuclei in the hexagonal grid, the pos...

specific Embodiment approach 2

[0036]Embodiment 2: The difference between this embodiment and Embodiment 1 is that in step 1, the magnesium alloy dendrite growth calculation domain is divided into micro-scale grids:

[0037] (1) A hexagonal grid with a side length of L is adopted, and a main diagonal of the hexagonal grid coincides with the Y axis in the X-Y Cartesian coordinate system;

[0038] (2) The angles between the other two main diagonals and the X axis are 30° and -30°; the number of hexagonal grids in the X axis direction is an integer n>100, and the hexagonal grids in the Y axis direction The number of grids is an integer m>100, and m is an even number; among them, the two main diagonals place the hexagon with two sides parallel to the Y axis, and one main diagonal is: located in the first limit One vertex of the hexagon, the connection line between the third vertex in the clockwise direction with the vertex; the other main diagonal is: a vertex of the hexagon located in the fourth term, and the ...

specific Embodiment approach 3

[0041] Specific embodiment three: this embodiment is different from specific embodiment one or two: in step 3, each hexagonal grid or hexagonal half grid is given to the neighbor object as:

[0042] (1) In the calculation area of ​​the simulated magnesium alloy dendrite structure model, determine the mark as j o = 1,k o There are 6 adjacent hexagonal grids around the hexagonal grid with =1, and their marks are: N 1-left (j=n,k=k o ), N 2-right (j=j o +1,k=k o ), N 3-upleft (j=j o , k=m), N 4-upright (j=j o +1, k=m), N 5-downleft (j=j o ,k=k o +1) and N 6-downright (j=j o +1,k=k o +1);

[0043] (2), in the calculation area of ​​the simulated magnesium alloy dendrite structure model, determine the mark as j o = n,k o There are 6 adjacent hexagonal grids around the hexagonal grid with =1, and their marks are: N 1-left (j=j o -1,k=k o ), N 2-right (j=1,k=k o ), N 3-upleft (j=j o , k=m), N 4-upright (j=1, k=m), N 5-downleft (j=j o ,k=k o +1) and N 6-dow...

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Abstract

The invention relates to a numerical modeling method for a magnesium alloy dendritic structure, which aims at solving the problems that the dendritic growth of magnesium alloy cannot be accurately predicted at present and a kinetic model of close-packed hexagonal crystal system dendritic crystal growth is unclear. The method comprises the following steps: firstly, splitting a magnesium alloy dendritic mesh; secondly, distributing odd lines and even lines in a dislocating manner; thirdly, determining the computational domain of a model; fourthly, determining the number of hexagonal mesh crystalline form cores, the positions of the cores, the degree of super-cooling delta T and the solid fraction of meshes; fifthly, obtaining the growth rate Vtip of magnesium alloy dendritic arms; and sixthly, establishing a function shown in the specification. The method is applied to the field of numerical modeling of magnesium alloy dendritic structures.

Description

technical field [0001] The invention relates to a method for numerical simulation of magnesium alloy dendrite structure. Background technique [0002] As a metal structural material, magnesium alloy has advantages that other alloys cannot match. It has low density, high specific strength and specific stiffness, good vibration damping and heat dissipation. The advantages of these material properties make magnesium-based alloys widely used in the automotive, shipbuilding and aerospace industries. [0003] Due to the low melting point of magnesium-based alloy metal materials, the industry usually uses casting technology to complete the forming process, and the formation characteristics of the alloy grain structure during the casting process is a key factor for evaluating the quality of castings. Using the trial and error method to explore the characteristics between the evolution of the solidification structure and the parameters of the casting process consumes a lot of manpow...

Claims

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Application Information

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IPC IPC(8): B22D27/04G06F19/00
Inventor 刘东戎杨智鹏罗佳鹏马宝霞王丽萍郭二军
Owner HARBIN UNIV OF SCI & TECH
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