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Material microstructure image-based method for automatic mesoscale crack statistics

A technology of microstructure and statistical methods, which is applied in the direction of analyzing materials, using wave/particle radiation for material analysis, calculation, etc., and can solve problems affecting the accuracy of quantitative statistics of cracks, etc.

Inactive Publication Date: 2009-12-16
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the constraints of the program itself, only the general trend of cracks in typical areas can be counted, which affects the accuracy of quantitative statistics of cracks

Method used

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  • Material microstructure image-based method for automatic mesoscale crack statistics
  • Material microstructure image-based method for automatic mesoscale crack statistics
  • Material microstructure image-based method for automatic mesoscale crack statistics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Read in the microstructure pictures of zirconia coating with a magnification of 500, a resolution of 150×150, and a node unit length scale value of 5 = 0.2 μm through programs such as MATLAB, such as Figure 4 shown. Firstly, the image is gray-scale processed to obtain a gray-scale matrix and imported into the finite element software to generate a finite element model with 22,500 finite element grid cells. And set the material number of the initial crack as 2 and the material number of the matrix as 1 through programs such as ANSYS APDL. in The color represents the base material of the coating, Colors represent cracks in the coating. Such as Figure 5 shown.

[0033] According to the generated finite element grid, the initial crack number crackno=1 is preset, and the cycle starts from unit number 1 to the last unit number 22500 to search for crack units. When the unit with material number 2 is reached, it is considered to have reached the crack unit. At the first...

Embodiment 2

[0036] Read in the microstructure pictures of zirconia coating with a magnification of 500 and a resolution of 200×200 node unit length scale value δ=0.2 μm through programs such as MATLAB, such as Figure 6 shown. The image was grayscale processed to obtain a grayscale matrix and imported into the finite element software to generate a finite element model with 40,000 finite element mesh units. And set the material number of the initial crack as 2 and the material number of the matrix as 1 through programs such as ANSYS APDL. in The color represents the base material of the coating, Colors represent cracks in the coating. Such as Figure 7 shown.

[0037] According to the generated finite element grid, the initial crack number crackno=1 is preset, and the cycle starts from unit number 1 to the last unit number 40000 to search for crack units. When the unit with material number 2 is reached, it is considered to have reached the crack unit. At the first cracked element ...

Embodiment 3

[0040] Read in the microstructure pictures of zirconia coating with a magnification of 1000 and a resolution of 200×180 node unit length scale value δ=0.1 μm through programs such as MATLAB, such as Figure 8 shown. The image is grayscale processed to obtain a grayscale matrix and imported into the finite element software to generate a finite element model with 36,000 finite element grid cells. And set the material number of the initial crack as 2 and the material number of the matrix as 1 through programs such as ANSYS APDL. in The color represents the base material of the coating, Colors represent cracks in the coating. Such as Figure 9 shown.

[0041] According to the generated finite element grid, the initial crack number crackno=1 is preset, and the cycle starts from unit number 1 to the last unit number 36000 to search for crack units. When the unit with material number 2 is reached, it is considered to have reached the crack unit. At the first cracked element ...

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Abstract

The invention discloses a material microstructure image-based method for automatic mesoscale crack statistics, which belongs to the field of mesoscale materials science and can simply and accurately perform quantitative crack statistics. The method comprises the following steps: firstly, subjecting a material microstructure image to gray-level matrix treatment, establishing a finite element grid unit corresponding to the pixel points of the material microstructure image and searching all crack units according to the generated finite element grid unit; secondly, recognizing all crack strips in the finite element grid unit according to the result of the research and coding cracks; and finally, performing the length and angle statistics of each crack and outputting data information on crack strips to a result file. The method of the invention can acquire shape and distribution information including crack number, crack length and crack angle on the cracks in an actual material microstructure image and can be directly used in mesoscale material performance finite-element simulation for further study of the relationship between the crack length, crack orientation and the like and basic physical and mechanical properties.

Description

technical field [0001] The invention belongs to the field of mesoscopic material science and relates to an automatic statistical method for cracks based on material microstructure images. Background technique [0002] Quantitative information of mesoscopic cracks is useful for quantitative analysis of mechanical behavior and service of brittle materials such as concrete, rock, coatings, and other metals, non-metals, and composite materials that are widely used in impact loads, fatigue loads, and thermal loads. Lifespan etc. play a crucial role. For example, studies at home and abroad have shown that the crack growth on the surface of rocks during loading and deformation, including the number and direction of crack growth at a certain moment, largely reflects the internal damage of the sample. As another example, foreign studies on thermal barrier coatings have found that parameters such as elastic modulus and thermal conductivity of thermal barrier coatings have a cubic pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00G06K9/00G01B21/20G01B21/02G01B21/22G01N23/00
Inventor 范群波王富耻华丹马壮王全胜沈伟
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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