Image based adaptive finite element mesh division method

An adaptive grid, finite element technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of inappropriate image finite element modeling methods, avoid building solid models, and save system resources. , the effect of reducing the number of nodes

Inactive Publication Date: 2016-01-20
CHINA UNIV OF MINING & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The current finite element meshing methods all need to establish a solid model first, so they are not suitable for image finite element modeling methods

Method used

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  • Image based adaptive finite element mesh division method
  • Image based adaptive finite element mesh division method
  • Image based adaptive finite element mesh division method

Examples

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Effect test

Embodiment 1

[0047] Example 1: Two-dimensional finite element modeling of cold-sprayed SiC-reinforced magnesium alloy composites.

[0048] Composite materials usually contain more than two components. This example shows the modeling of composite materials with three components in the present invention. Multi-level scale triangular meshes and quadrilateral meshes are used in the model. For single-component, coarse Larger meshes are generated automatically for regions with complex components and finer structures, while finer meshes are generated for regions with complex composition and fine structure. This example can verify the two-dimensional grid division ability of the present invention for multi-component materials.

[0049] Adopting the present invention to carry out two-dimensional finite element modeling to the magnesium alloy composite material reinforced by cold spraying SiC, comprises the following steps:

[0050] (1) Obtain a two-dimensional polished cross-sectional image that c...

Embodiment 2

[0060] Example 2: Three-dimensional finite element modeling of plasma sprayed yttria stabilized zirconia (YSZ) coating.

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Abstract

An image based adaptive finite element mesh division method belongs to a mesh division method for finite element analysis of a material structure. The method comprises: 1, distinguishing different phases or components in an image with an image analysis method; 2, reading position information of all pixels into a computer memory by utilizing a computer language program; 3, according to the fineness of a spatial structure, reducing an image resolution of a region thick and big in structure and single in component; 4, directly constructing a finite element unit by the pixels, wherein different resolutions cause different mesh densities; and 5, transiting meshes different in density by mesh mapping. According to the method, nodes and units are directly constructed by utilizing images, and solid modeling is skipped, so that system resources can be saved; moreover, a mesh structure can be optimized on the premise of ensuring calculation precision, so that the number of nodes is remarkably reduced, the calculation time is shortened, and the memory consumption is reduced; and the whole process is automatically completed, so that the method is very practical for a model with a huge amount of nodes.

Description

technical field [0001] The invention relates to a grid division method for finite element analysis of material structure, in particular to an image-based self-adaptive finite element grid division method. Background technique [0002] The performance of a material plays a decisive role in its use efficiency, so testing the performance of a material is a homework that must be done before using it. However, for the design of structural materials, it is often necessary to change the structure of the material frequently in order to obtain the desired performance, which requires a lot of testing work. Predicting the performance of materials through material structure can greatly shorten the cycle of material design, so it is widely used in composite material design and other fields. Traditional prediction methods generally use two methods: 1) theoretical calculations based on ideal assumptions and 2) empirical formulas based on experiments, or a combination of the two. For the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 乔江浩谭娜刘洪涛张德坤
Owner CHINA UNIV OF MINING & TECH
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