Log in

Method for Evaluation and Visualization of the Microstructure Materials Heterogeneity

  • METHODS OF STUDYING THE STRUCTURE AND PROPERTIES OF MATERIALS. PROCESS MODELING
  • Published:
Russian Metallurgy (Metally) Aims and scope

Abstract—Methods of stereometric metallography of the microstructure of steels and alloys have been considered. In addition to the accepted results of the analysis, parameters of the sample range and the unit continuous second-phase length and analysis of changes in the sequential volume of the second phase have been proposed, and a method for visualization of the results in the form of polar diagrams has been developed and presented. As an example, studies were performed on grade 40 carbon steel microsections without etching. Defect-free samples and samples with dot and line inclusions were considered. The use of the methods under consideration makes it possible to increase the accuracy of determining the directions of deformation impacts and to detect the presence of inclusions and evaluate their size and volume in alloys from an analyzed image.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.

REFERENCES

  1. A. P. Gulyaev, Metallurgy: Textbook for Universities, 6th ed. (Metallurgiya, Moscow, 1986).

    Google Scholar 

  2. F. V. Grechnikov, Ya. A. Erisov, A. A. Tikhonova, and M. N. Pigareva, “Influence of blank’s anisotropy on non-uniformity of part wall thickness during drawing,” Izv. Samar. Nauchn. Tsentra Ross. Akad. Nauk 19 (1(3)), 581–586 (2017).

    Google Scholar 

  3. S. V. Danilov, P. L. Reznik, M. L. Lobanov, M. A. Golovnin, and Yu. N. Loginov, “Influence of hot rolling on mechanical properties anisotropy of 6061 aluminum alloy,” Vestn. Yuzhno-Ural. Gos. Univ. 17 (1), 73–80 (2017). https://doi.org/10.14529/met170109

    Article  Google Scholar 

  4. V. K. Barnwal, R. Raghavan, A. Tewariac , K. Narasimhan, and S. K. Mishra, “Effect of microstructure and texture on forming behaviour of AA-6061 aluminium alloy sheet,” Mater. Sci. Eng., A 679, 56–65 (2017). https://doi.org/10.1016/j.msea.2016.10.027

    Article  CAS  Google Scholar 

  5. P. Ren, X. P. Chen, C. Y. Wang, Y. X. Zhou, W. Q. Cao, and Q. Liu, “Evolution of microstructure, texture and mechanical properties of Fe–30Mn–11Al–1.2 C low-density steel during cold rolling,” Mater. Charact. 174, 111013 (2021). https://doi.org/10.1016/j.matchar.2021.111013

    Article  CAS  Google Scholar 

  6. GOST (State Standard) 5640–2020: Steel. Metallographic Method for Determination of Microstructure of Flat Rolled Product (Standartinform, Moscow, 2021).

  7. ASTM E1268-19: Standard Practice for Assessing the Degree of Banding or Orientation of Microstructures (ASTM Int., West Conshohocken, Pa., 2016).

  8. V. V. Sitnikov, V. V. Lyuminarskii, and A. V. Korobeinikov, “Overview of object recognition methods used in machine vision systems,” Vestn. Izhevskogo Gos. Tekh. Univ. M.T. Kalashnikov 21 (4), 222–229 (2018). https://doi.org/10.22213/2413-1172-2018-4-222-229

    Article  Google Scholar 

  9. K. Zhang, T. Huang, Z. Su, and T. Guan, “Design of solder quality inspection system based on machine vision,” in 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conf. (IAEAC), Chongqing, China, 2021 (2021), pp. 2413–2418. https://doi.org/10.1109/IAEAC50856.2021.9390646

  10. A. V. Kudrya, E. A. Sokolovskaya, V. Yu. Perezhogin, and N. N. Ha, “Some practical concerns related to computer procedures of processing images in material science,” Vektor Nauki Tol’yattinskogo Gos. Univ., No. 4 (50), 35–44 (2019). https://doi.org/10.18323/2073-5073-2019-4-35-44

  11. **yang Liu and Qingyun Dai, “The two dimensional microstructure characterization of cemented carbides with an automatic image analysis process,” Ceram. Int. 43, 14865–14872 (2017). https://doi.org/10.1016/j.ceramint.2017.08.002

    Article  CAS  Google Scholar 

  12. A. A. Kazakov, D. V. Kiselev, S. V. Andreeva, L. S. Chigintsev, S. V. Golovin, V. A. Egorov, and S. I. Markov, “Development of a methodology for quantitative assessment of microstructural banding of low-alloy pipe steels using automatic image analysis,” Chern. Met., No. 7–8, 31–37 (2007).

  13. A. A. Kazakov and D. Kiselev, “Industrial application of thixomet image analyzer for quantitative description of steel and alloy’s microstructure,” Metallogr., Microstructure, Anal. 5 (4), 294–301 (2016). https://doi.org/10.1007/s13632-016-0289-6

    Article  CAS  Google Scholar 

  14. A. Kazakov, D. Kiselev, E. Kazakova, G. F. Vander Voort, and L. Chigintsev, “Quantitative description of microstructural banding in steels,” Mater. Perform. Charact. 6 (3), 224–236 (2017). https://doi.org/10.1520/MPC20160009

    Article  CAS  Google Scholar 

  15. S. Voronin, M. Ledyaev, P. Loboda, and S. Konovalov, “Finite-element model for an Al + 2.38% Cu + 0.06% SiC composite with regard to its structural components,” AIP Conf. Proc. 1909, 020228 (2017). https://doi.org/10.1063/1.5013909

    Article  CAS  Google Scholar 

  16. S. A. Saltykov, Stereometric Metallography (Metallurgiya, Moscow, 1970).

    Google Scholar 

  17. R. P. Bogush, E. R. Adamousky, and S. F. Denisenak, “Processing and analysis of images of microstructure metals for determining the grain point,” Dokl. Beloruss. Gos. Univ. Inf. Radioelektron. 19 (4), 70–79 (2021). https://doi.org/10.35596/1729-7648-2012-19-4-70-79

    Article  Google Scholar 

  18. D. V. Zhukov and S. V. Konovalov, “Computer processing of alloys microstructure images,” in Actual Problems of Physical Metallurgy of Steels and Alloys. Collection of Abstracts of Reports of the 26th Ural School of Metallologists-Thermists, Ed. by A. A. Popov (Ekaterinburg, 2022), pp. 262–267.

    Google Scholar 

  19. V. I. Bogdanovich, Theoretical Basis for Ensuring Aircraft Reliability at the Stage of Production (Samarsk. Gos. Aerokosmicheskii Univ., Samara, 2007).

Download references

Funding

This work was supported by ongoing institutional funding. No additional grants to carry out or direct this particular research were obtained.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to D. V. Zhukov.

Ethics declarations

The authors of this work declare that they have no conflicts of interest.

Additional information

Translated by G. Kirakosyan

Publisher’s Note.

Pleiades Publishing remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhukov, D.V., Giorbelidze, M.G., Mel’nikov, A.A. et al. Method for Evaluation and Visualization of the Microstructure Materials Heterogeneity. Russ. Metall. 2023, 2126–2132 (2023). https://doi.org/10.1134/S0036029523700192

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0036029523700192

Navigation