Method of forecast of mechanical properties of Ст3пс steel

Authors

  • M. O. Aksakov Department of Materials Scienceand Material Processing, State Higher Educational Institution “Prydniprovska State Academy of Civil Engineering and Architecture”, 24-A, Chernyshevskoho St., 49600, Dnipro, Ukraine

DOI:

https://doi.org/10.30838/J.PMHTM.2413.261218.10.559

Keywords:

mechanical properties, steel, perlite, ferrite, fractal dimension, forecasting technique

Abstract

Abstract. Problem statement. The prediction of mechanical properties of metals is mainly based on the analysis of statistical data and the results of direct experiments. When comparing these results, in some cases there are discrepancies between the results of the prediction of mechanical properties based on the quantitative indicators of the structure and the data of field tests. One of the reasons for the divergence of results may be the incompleteness of formal axiomatics in describing the real elements of a structure. Therefore, the paper proposes to use the fractal approach based on the determination of fractal dimensions of the constituents of the structure for the prediction of the mechanical properties of the metal, such as Ст3псsteel. Materials and methodology. Using the methods of regression analysis  and fractal theory,  we obtained a  mathematical  model  for the prediction of the quality criteria  for structural  low-alloy steel Ст3псdepending on the influence of the parameters of the structure and elements of the chemical composition. Research results.The influence of the chemical composition and fractal dimension of the ferrite-pearlite structure on the mechanical properties of the steel was analyzed: tensile strength, yield strength, relative narrowing and elongation, hardness. The adequacy of the obtained results is confirmed by the Kochren and Fisher criteria. By studying the coefficients of the obtained dependences, a histogram describing the effect of the fractal  dimension  of  the  metal  on  the  mechanical  properties  was  obtained.  As  a  result  of  experiments,  it  was  found  that  the  fractal dimension  of  perlite  grains  varies  in  the  range  of 1,662…1,790,  and  the  fractal  dimension  of  ferrite  grains  зер  in  the  range  of 1,955…1,978 with a change in the amount of carbon from 0,14 to 0,22 %. The highest degree of correlation among those considered is established between the fractal dimension of perlite and the indices of strength and hardness of steel 3, and the highest correlation of plasticity indices is set to the fractal dimension of ferrite. The results obtained indicate the possibility of applying fractal geometry to the prediction  of  the  mechanical  properties  of  low  carbon  low  alloy  structural  steels. Conclusions. The  technique of  forecasting  the mechanical  properties  of Ст3пс steel  is  presented  based  on  the  analysis  of  the  influence  of  the  chemical  composition  and  fractal characteristics of the ferrite-perlite structure. It was found that when forecasting the strength and hardness characteristics of steel based on  the  fractal  dimension  of  perlite,  a  correlation  was  observed  within  0,50...0,59;  and  in  the  prediction  of  plastic  properties,  the correlation of 0,64...0,86 is fixed for the fractal dimension of ferrite.

Author Biography

M. O. Aksakov, Department of Materials Scienceand Material Processing, State Higher Educational Institution “Prydniprovska State Academy of Civil Engineering and Architecture”, 24-A, Chernyshevskoho St., 49600, Dnipro

Master of Engineering

References

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Published

2018-12-26

Issue

No. 4 (2018): Metal Science and Heat Treatment of Metals

Section

Technical science

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