Validity of using high-energy fluxes for the metallographic revelation of the structure

Anisovich, A. G.; Rumyantseva, I. N.; Taran, I.I.

doi:10.3103/s1068375516030029

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…In fact, it is not uncommon to use machine vision techniques to analyze and process metallographic images. Anisovich and Rumyantseva 1 considered the possibility of applying high-energy effects to metallographic etching. However, the research process has not been made public.…”

Section: Introductionmentioning

confidence: 99%

(Retracted) Image restoration and quantitative metallographic tissue based on machine vision

Shi²,

Ke³

et al. 2022

J. Electron. Imag.

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. In recent years, with the development of computer image processing technology and quantitative metallography, quantitative metallographic analysis and image restoration based on machine vision image processing have attracted extensive attention. To deeply study the special ability of machine vision technology in metallographic image restoration and quantitative analysis, we adopt a model construction method, parameter design method and comparative analysis method to collect samples and analyze the machine vision system. Through quantitative metallographic organization, based on the progress in artificial neural networks and classification algorithms, a set of analysis system equipment and image restoration algorithm was finally established. The experimental results show that the recognition rate of this method is 5.69% higher than that of method 3, and the overall recognition rate is 5.1% higher than that of method 3, reaching 98.65%. It basically proves the superiority of the image classification algorithm in this paper and also indirectly proves that the system can play a role in the restoration and quantitative analysis of metallographic tissue images.

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Section: Introductionmentioning

confidence: 99%

(Retracted) Image restoration and quantitative metallographic tissue based on machine vision

Shi²,

Ke³

et al. 2022

J. Electron. Imag.

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“…Silicate inclusions have a regular circular shape, in the light field concentric rings appear, and in the dark field and polarized light an optical cross effect is observed. Spherical pores in the volume of the material appear as dark spots, in the dark field and in polarized light a specific light figure is formed, the sharpness of which depends on the depth of occurrence [ 22 ]. The weld metal is characterized by the formation of equiaxed grains with the allocation of strengthening phases both within the grain and on the borders.…”

Section: Resultsmentioning

confidence: 99%

Porosity Formation in Thin Welded Joints of Al–MG–LI Alloys

Ol’shanskaya

Федосеева

2022

Materials

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This work is about the study of the correlation of pore formation in welded joints of Al–MG–LI alloy with zirconium additives with the state of the base metal, thermal vacuum treatment, and welding technologies MIG and EBW. Metallographic analysis has been carried out, the phase composition of the alloy and weld metal has been investigated, and thermal cycles of welding have been calculated, allowing to estimate the residence time of metal in the alloying zone and weld metal in the liquid state. The nature of the allocation of strengthening fine-dispersed phases in the welded joints of the alloy has been determined. The regularity and character of pore formation in welded joints depending on the applicable thermal vacuum treatment (TVT) and welding technology have been revealed. It was established that TVT with subsequent hardening and aging has no effect on the phase composition of the alloy. However, this type of treatment contributes to the formation of a more homogeneous and uniform nature of the separation of fine-dispersed strengthening phases. It was revealed that the MIG technology (metal with and without TVT) is characterized by a large length of the fusion zone, the high residence time of metal in the fusion zone and weld metal in the liquid state, and the formation of pores. Phase formation in the temperature range of the beginning and end of the alloy crystallization occurs not only in the weld at the final stage of crystallization but also in the fusion zone, which may induce pore formation, whereas EBW welding shows the opposite trend and no pores. It was found that EBW technology prevents pore formation and makes it possible to obtain welded joints of 1420 Al alloys of the required quality.

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Validity of using high-energy fluxes for the metallographic revelation of the structure

Cited by 2 publications

References 5 publications

(Retracted) Image restoration and quantitative metallographic tissue based on machine vision

(Retracted) Image restoration and quantitative metallographic tissue based on machine vision

Porosity Formation in Thin Welded Joints of Al–MG–LI Alloys

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