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A method and system for automatic measurement and fine classification of mixed crystallinity of steel grains

A technology of automatic measurement and fine classification, applied in particle size analysis, measurement device, particle and sedimentation analysis, etc. split effect

Inactive Publication Date: 2018-04-24
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, since the existing quantitative metallographic analysis methods are not involved in the quantitative characterization and classification of the full-form grain size and mixed crystallinity of all steel products, the composition, process, structure and performance of new steel research and development At the time of control, this work is still in the preliminary exploration stage, and can only be carried out by manual or semi-manual measurement and analysis mode, and the evaluation standard of this mode is only "whether the mixed crystal phenomenon is serious" or the grain size of the steel to be tested. extremely bad
Here, "mixed crystals" generally refers to the phenomenon that the grain size distribution of steel is seriously uneven, but the degree of unevenness cannot be quantitatively characterized.

Method used

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  • A method and system for automatic measurement and fine classification of mixed crystallinity of steel grains
  • A method and system for automatic measurement and fine classification of mixed crystallinity of steel grains
  • A method and system for automatic measurement and fine classification of mixed crystallinity of steel grains

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Embodiment 1

[0104] Use the image acquisition device to obtain the original image of the grain to be tested. The hardware of the image acquisition device is as follows: figure 2 As shown: it includes a steel sample 1, a professional metallographic microscope 2, a camera 3, a computer 4 and a printer 5, and the computer 4 is attached with an image acquisition card.

[0105] The specific steps of image acquisition are to use the professional metallographic microscope 2 to adjust the image to a suitable focal length, and use the camera 3 to take pictures and store the image in the computer 4 when the original image of the steel grain to be tested is the clearest In the acquisition card, the original image of the steel sample 1 steel grain to be measured (such as image 3 shown), followed by subsequent image preprocessing.

[0106] The image preprocessing process includes: median filter denoising, binary segmentation, grain missing boundary repair and grain hole filling.

[0107] The proces...

Embodiment 2

[0171] Such as Figure 8 The original image shown is the metallographic structure and grain image of steel sample 2. The processing process of the present invention is as follows: firstly, the target image is subjected to median filter denoising and an improved local adaptive threshold segmentation algorithm is used to perform binary segmentation processing, and the image after median filter denoising and binary segmentation is as follows: Figure 9 As shown; and then use the new modified watershed segmentation algorithm based on extreme corrosion and the improved seed filling algorithm to repair grain missing boundaries and fill intragranular holes. The image after defect repair is as follows Figure 10 Shown; set the scale and calibrate the area of ​​each grain, the image after area calibration is as follows Figure 11 Shown; Measure and calculate characteristic parameters such as grain area, grain size, grain mixed crystal degree GME; Completed the automatic measurement an...

Embodiment 3

[0173] Such as Figure 13 The original image shown is the metallographic structure and grain image of steel sample 3. The processing process of the present invention is as follows: firstly, the target image is subjected to median filter denoising and an improved local adaptive threshold segmentation algorithm is used to perform binary segmentation processing, and the image after median filter denoising and binary segmentation is as follows: Figure 14 As shown; and then use the new modified watershed segmentation algorithm based on extreme corrosion and the improved seed filling algorithm to repair grain missing boundaries and fill intragranular holes. The image after defect repair is as follows Figure 15 Shown; set the scale and calibrate the area of ​​each grain, the image after area calibration is as follows Figure 16 Shown; Measure and calculate characteristic parameters such as grain area, grain size, grain mixed crystal degree GME; Completed the automatic measurement ...

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Abstract

The invention belongs to the field of quantitative metallographic analysis of steel material microstructure full-morphological grains, and specifically relates to an automatic measurement and fine classification method and system for steel grain mixed crystals. Firstly, an image acquisition device obtains the original Image, the image preprocessing module preprocesses the original image, the automatic measurement module performs area calibration on the preprocessed image, obtains the grain image to be tested, and extracts the geometric feature parameters of the grain image to be tested, using the random area area The algorithm measures the morphological characteristic parameters of the target grain: grain area, and then the grain size, grain mixed crystal degree GME can be obtained; the automatic classification module automatically classifies the grain mixed crystal degree GME according to the optimal threshold value; fills in In the past, the artificial mode could not deal with the gaps in the measurement and classification of steel grain mixed crystallinity. The characterization accuracy of the steel grain image is as high as ±0.001μm, which is the highest characterization accuracy in the current steel metallographic structure analysis.

Description

technical field [0001] The invention relates to the field of quantitative metallographic analysis of steel material microstructure full-morphological grains, in particular to an automatic measurement and fine classification method and system for steel grain mixed crystals. Background technique [0002] With the rapid development of iron and steel material science and 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. Method, through the quantitative analysis of the metallographic structure of various steel materials, especially the grain size and mixed crystal degree, the quantitative relationship between the microstructure and macroscopic properties was established. In order to ascertain the influence law of the grain size and distribution of all-form grains in steel on the strength / toughness of steel, especially the relevant influenc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N15/00G01N15/02G06K9/62
Inventor 李新城唐永春朱伟兴陈轶王晓莉孙昀杰杨骐佑齐超
Owner JIANGSU UNIV