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Modeling method of dispersed-phase reinforced composite material meso-structure

A technology for reinforced composite materials and modeling methods, which is applied in the modeling of particle-reinforced and short-fiber-reinforced composite mesostructures, and the modeling of discrete-phase reinforced composite mesostructures, which can solve the problem of insufficient reinforced phase density, etc. problem, to achieve the effect of easy control of distribution density, uniformity, and short calculation time.

Active Publication Date: 2015-09-09
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to propose a modeling method for the mesostructure of discrete phase reinforced composite materials, which can more realistically simulate the distribution of particle or short fiber reinforcement phases, and can completely solve the problem of random placement Insufficient densification of reinforced phases and other methods can also ensure the thickness of the matrix phase outside each reinforced phase

Method used

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  • Modeling method of dispersed-phase reinforced composite material meso-structure
  • Modeling method of dispersed-phase reinforced composite material meso-structure
  • Modeling method of dispersed-phase reinforced composite material meso-structure

Examples

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Effect test

Embodiment 1

[0046] like figure 1 Shown: A modeling method for the three-dimensional mesostructure of particle-reinforced composite materials, including the following steps:

[0047] (1) Draw up the shape and size of the composite material model, and determine the model boundary;

[0048] (2) formulate the volume sum of the particle-reinforced phase in each size range in the model, that is, set the volume sum of the particle-reinforced phase in the i size range as V(i);

[0049] (3) In the model space 3 and the space 2 above the model, randomly obtain several particle models 1 within the size range of i, so that the volume sum of each particle model 1 is V(i), and each particle model 1 is Leave a gap with the surrounding model;

[0050] The method for obtaining several particle models 1 within the size range of i comprises the following steps:

[0051] a. In the model space 3 and the space 2 above the model, randomly generate a point, and use this point as the center to generate a ball wi...

Embodiment 2

[0064] like Figure 4 As shown, a modeling method for the two-dimensional mesostructure of particle reinforced composites includes the following steps:

[0065] (1) Draw up the shape and size of the composite material model, and determine the model boundary;

[0066] (2) Draw up the area sum of the particle-reinforced phase in each size range in the model, that is, set the area sum of the particle-reinforced phase in the i size range as S(i);

[0067] (3) In the model space 3 and the space 2 above the model, randomly obtain several particle models 1 within the size range of i, so that the area sum of each particle model is S(i), and each particle model is consistent with the surrounding There are gaps between the models;

[0068] The method for obtaining several particle models 1 within the size range of i comprises the following steps:

[0069] a. In the model space 3 and the space 2 above the model, randomly generate a point, and use this point as the center to generate a...

Embodiment 3

[0082] A modeling method for the mesostructure of a fiber reinforced composite material, comprising the following steps:

[0083] (1) Draw up the shape and size of the composite material model, and determine the model boundary;

[0084] (2) Formulate the volume sum of the fiber-reinforced phases in each size range in the model, that is, set the volume sum of the fiber-reinforced phases whose diameter is in the i-size range and whose length is in the j-size range as V(i,j) ;

[0085] (3) In the model and the space above it, randomly obtain several fiber models within the size range of i and j, so that the volume sum of each fiber model is V(i, j), and each fiber model is consistent with the surrounding There are gaps between the models;

[0086] The method for obtaining several fiber models within the size range of i and j comprises the following steps:

[0087] a. In the model and the space above it, randomly generate a point, centering on this point, generate a cylinder wi...

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Abstract

The invention relates to a modeling method of a dispersed-phase reinforced composite material meso-structure. The modeling method comprises the following steps that the shape and the size of a model of a composite material are prepared, and the boundary of the model is determined; the sum of the volumes of particle reinforced phases in different size ranges in the model is prepared; particle models in all the size ranges are generated; the surface of each particle model is divided into finite element grids, and the prepared boundary of the model is divided into finite element grids; shell element attributes are given to the finite element grids; the mode of contact between the particle models and the mode of contact between the particle models and the boundary of the model are defined, and the descending process of particles in the space is simulated through a finite element method; the internal space of the model can be exactly filled with the particle models in all the size ranges; finite element models of the particle models and a finite element model of a substrate are obtained; modeling of the particle reinforced composite material structure is accomplished through the definition of the mode of constraint between the substrate and the particles and the material attributes of the substrate and the particles.

Description

technical field [0001] The invention belongs to the field of computational materials science, in particular to a modeling method for the mesoscopic structure of discrete phase reinforced composite materials, in particular to a modeling method for the mesoscopic structure of particle reinforced and short fiber reinforced composite materials. Background technique [0002] The performance of composite materials largely depends on the composition and structure of materials. Exploring and constructing new "structure-function" relationships is the basic task of modern composite materials science. The development of material science and computer science enables people to complete the material performance analysis and structural design by constructing a mathematical model of the spatial structure of composite materials and numerical calculations such as molecular dynamics or finite element method, thereby making up for the low efficiency of traditional experimental methods. And it i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 季忠生培瑶王世照刘韧
Owner SHANDONG UNIV
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