Method for rapidly measuring and finely classifying full-form crystal grains of steel material

A technology of fine classification and grain, which is applied in the direction of measuring device, particle size analysis, particle and sedimentation analysis, etc. It can solve the problems of low accuracy of measurement results, inability to classify particle size, and not to mention the classification of grain shape.

Inactive Publication Date: 2014-07-23
JIANGSU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The main disadvantage of the above two methods is that only the grain size can be measured and only the average particle size can be obtained, which means that the particle size cannot be classified, let alone the characterization and classification of the grain shape, and the particle size classification The work needs to be realized by additional manual mode at a later stage
In addition, neither of these two methods can solve the common problems of missing grain boun...

Method used

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  • Method for rapidly measuring and finely classifying full-form crystal grains of steel material
  • Method for rapidly measuring and finely classifying full-form crystal grains of steel material
  • Method for rapidly measuring and finely classifying full-form crystal grains of steel material

Examples

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Embodiment 1

[0058] Use the image acquisition system to obtain the original image of the steel and metal phase weaving. The hardware of the image acquisition system is as follows: figure 2 Shown: including steel sample 1, professional microscope 2, camera (CCD) 3, computer 4, printer 5, computer 4 is inserted with an image acquisition card, the specific steps of image acquisition are to use the microscope to adjust the image to a suitable focal length, and then When the image is clearest, it will be captured and stored in the image acquisition card (original image), and then subsequent graphics processing can be performed.

[0059] The original image of this embodiment is as image 3 shown. right first image 3 The original image of the target image is denoised by conventional morphological reconstruction filtering. In order to further process the original image into a clear image with a lot of useful information, it is necessary to use the combination of conventional top-hat-bottom-ha...

Embodiment 2

[0127] In view of the fact that ultra-fine grain steel is a new type of steel that has been widely used in recent years, its main feature is that its metallographic structure is mostly extremely fine grains, and its grain size is usually about 5 microns. The original metallographic image of grain steel is as Figure 18 shown. Depend on Figure 18 It can be seen that the grains are fine, the average grain size is about 1 / 4 of that of Example 1, and there are many strip-shaped, thick needle-shaped, sharp needle-shaped grains, which can only be relied on in the previous microstructure analysis. Professionals perform measurement classification in a manual mode with low precision. Now use the present invention to measure and classify its crystal grains. First, the improved local adaptive threshold segmentation method is used for binary segmentation, and the effect is as follows: Figure 19 shown; and then use the new modified watershed segmentation algorithm based on limit corr...

Embodiment 3

[0134] Take the original image of conventional steel with a grain size of about 20 microns, which is widely used in the machinery industry, such as Figure 26 shown. Depend on Figure 26 Visible, its crystal grain is very thick, and average particle size is about 5 times of embodiment 2. Now use the present invention to measure and classify its crystal grains. First, the improved local adaptive threshold segmentation method is used for binary segmentation, and the effect is as follows: Figure 27 shown; and then use the new modified watershed segmentation algorithm based on limit corrosion to Figure 27 Boundary restoration of the binary image; the improved seed filling algorithm is used to fill the intragranular pores, and the processing effect is as follows Figure 28 As shown; set the scale and calibrate the area of ​​each grain, measure and calculate the grain morphological characteristic parameters such as grain area, perimeter, aspect ratio, grain size, circularity, ...

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Abstract

The invention discloses a method for rapidly measuring and finely classifying full-form crystal grains of a steel material. The method comprises the following steps: performing the operations of filtering, denoising, gray level correcting and binary segmentation treatment on an original image in sequence, and reducing a target crystal grain binary image; setting a scale for the reduced image, performing area calibration on target crystal grains respectively, and respectively extracting form characteristic parameters of each target crystal grain, wherein the form characteristic parameters include the area, the circumference, the grain size, the length-width ratio, the circularity degree, the form coefficient and the transgranular polar angle; distinguishing equiaxial crystal grains from non-equiaxial crystal grains according to a primary threshold of the circularity degree and a primary threshold of the form coefficient; distinguishing circular-like and polygon crystal grains from the equiaxial crystal grains according to a secondary threshold of the circularity degree and a secondary threshold of the form coefficient; and identifying strip-like and strip crystal grains and thick needle and small needle shaped crystal grains from the non-equiaxial crystal grains according to the length-width ratio and primary and secondary thresholds of the transgranular polar angle. The method is high in measurement precision, and the efficient and precise method is provided for rapid and fine microanalysis on the full-form crystal grains of the steel material.

Description

technical field [0001] The invention relates to the field of metallographic analysis of full-form grains in the microstructure of iron and steel materials, in particular to a rapid measurement and fine classification method for full-form grains of steel materials. Background technique [0002] With the rapid development of iron and steel material technology, the research and development of various steel materials has gradually been established on the basis of the quantitative relationship between composition, structure and performance, which means that for steel materials, the microstructure can be controlled through preparation and various subsequent processes to obtain the desired performance. Quantitative metallographic analysis is an important method to study the relationship between the composition, structure, process and performance of metal materials. Through quantitative analysis of the metallographic structure of various steel materials, a quantitative relationship ...

Claims

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Application Information

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IPC IPC(8): G01N15/02
Inventor 李新城马正建朱伟兴陈轶邵科男江涛庄志平
Owner JIANGSU UNIV
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