Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for accurately reconstructing dissimilar material microcosmic finite element grid model on basis of CT (computed tomography) images

A technology of heterogeneous materials and CT images, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of limited grid quality, easy loss of small information, low precision of finite element analysis, etc., to improve The effect of precision

Active Publication Date: 2012-11-07
XI AN JIAOTONG UNIV
View PDF2 Cites 43 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the model established by the existing geometric reconstruction method needs to be further divided into meshes, and the meshes based on complex surfaces or solids are mostly triangular or tetrahedral elements, the accuracy of finite element analysis is not high; in addition, the microstructure of heterogeneous materials The complexity limits the quality of the mesh, and relatively fine information in the material microstructure is easily lost during the meshing process

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for accurately reconstructing dissimilar material microcosmic finite element grid model on basis of CT (computed tomography) images
  • Method for accurately reconstructing dissimilar material microcosmic finite element grid model on basis of CT (computed tomography) images
  • Method for accurately reconstructing dissimilar material microcosmic finite element grid model on basis of CT (computed tomography) images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0070] The present invention first collects sequential tomographic images of heterogeneous materials through industrial CT, and digitizes the collected images; then thresholds the images through gray histograms and cumulative distribution functions, and uses contrast-limited adaptive histogram Value filtering and pixel point interpolation improve the accuracy of the image reflecting the real microstructure of the material; then, on the basis of establishing the finite element grid topology model, the unit material properties of the model are determined through the mapping relationship between the topology model and the tomographic image, and the image Clipping and pixel binning reduce the size of the elements in the finite element mesh model. The specific implementation process of the whole finite element mesh model reconstruction is as follows: figure 1 As shown, the specific technical problems are described in detail below according to the process.

[0071] 1. Sequence imag...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method for accurately reconstructing a microcosmic finite element grid model of a dissimilar material on the basis of CT (computed tomography) images. According to the method, sequence CT images are acquired through industrial CT, and micro-structural information in the CT images is mapped onto the reconstructed finite element grid model on basis of digitization and threshold segmentation, so that any detailed structural information in the dissimilar material can be represented in the reconstructed model. The method improves the reconstruction accuracy by means of contrast-limited adaptive histogram equalization, median filtering and pixel interpolation, and improves the reconstruction efficiency through image cut and pixel combination. With the method, rectangular (two-dimensional) and cuboid (three-dimensional) unit grid models with higher finite element analysis accuracy are directly reconstructed, error accumulation during reconstruction, grid partition and other links of the existing geometric reconstruction method is avoided, and reconstruction accuracy and efficiency are improved. The method can be widely applied to fields such as performance prediction and optimization design of dissimilar materials.

Description

technical field [0001] The invention belongs to the technical field of finite element grid model reconstruction, and relates to a method for reconstructing a finite element grid model of a heterogeneous material, in particular to a method for accurately reconstructing a microscopic finite element grid model of a heterogeneous material based on a CT image. Background technique [0002] Heterogeneous materials composed of multiple components (such as composite materials, porous materials, etc.) are one of the most common materials in natural and synthetic materials, and the macroscopic properties of these materials (such as stiffness, strength, and toughness) are mainly determined by determined by its microstructure. Therefore, a thorough study of the effect of the microstructure of heterogeneous materials on their macroscopic properties is of great significance for the design and development of new high-performance heterogeneous materials. The finite element method is one of...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F17/50
Inventor 黄明李跃明
Owner XI AN JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products