Polycrystal geometric modeling method

Abstract

The invention discloses a polycrystal geometric modeling method. The polycrystal geometric modeling method comprises the steps that an MATLAB is utilized to generate a polycrystal pretexture, and a vertex coordinate value and marshalling sequence index value of each crystal face of each crystalline grain are gained; according to the obtained vertex coordinate value and the marshalling sequence index value, a geometric model of polycrystals are constructed in an ANSYS; then a grain orientation random factor method is adopted to generate each crystalline grain with random orientation, and aftera material parameter is given to each crystalline grain, mechanical model of a body-centered cubic polycrystal microstructure is obtained. The polycrystal geometric modeling method has the advantagesthat the problem that the coordination of unit attribution of every two adjacent crystalline grains is considered when unit attribution seed points are divided during modeling is solved; the implantation of a cohesion layer with the thickness is considered more conveniently, the use range of the model is expanded, and a foundation is laid for the subsequent research and optimization of BCC metal polycrystals.

Description

technical field [0001] The invention relates to the structural analysis of polycrystals, in particular to a geometric modeling method of polycrystal microstructures based on the Voronoi topology principle and using MATLAB and ANSYS mixed programming. Background technique [0002] Because the plastic deformation of polycrystalline materials is often accompanied by material strain localization and plastic damage, the multi-directional changes of internal strain and stress cause the non-uniform plastic deformation, and it is difficult to use analytical methods to study it. After the continuum slip theory was developed around 1970, a constitutive model of finite deformation crystal plasticity appeared under the finite element framework. Most of the early models for simulating plastic deformation of metals were isotropic and rate-independent models, which did not consider the large deformation of metals. In order to study the properties of metal materials in depth, it is necessar...

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Problems solved by technology

Although these modeling methods can establish the Voronoi model, the process of learning and using the inp file is slow; the entire model needs to be divided into grids first, and the unit belonging area is defined according to the distance between the grid and the seed point, and many factors need to be considered such as determining the unit The coordination between adjacent grains in the belonging area is relatively cumbersome; in addition, if the polycrystalline model changes frequently or has large differences, it is necessary to re-mesh and modify the inp file repeatedly, which increases a lot of repeatability workload, delay a lot of scientific research work

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