Possibilities of Statistical Analysis of Acceptance Test Results for Determining the Scale of Pipe Steel Quality Inhomogeneity

  • A. V. KudryaEmail author
  • I. P. Shabalov
  • V. Ya. Velikodnev
  • É. A. Sokolovskaya
  • T. Sh. Akhmedova
  • S. G. Vasil’ev

The efficiency of statistical analysis of the results of acceptance tests (methods of classical statistics and cognitive graphics) for pipe metal quality heterogeneity is evaluated.


metal product quality heterogeneity process and product statistical analysis cognitive graphics chronological series 


  1. 1.
    I. P. Shabalov, Yu. D. Morozov, and L. I. Éfron, Steels for Pipes and Building Structures with Improved Operating properties [in Russian], Metallurgizdat, Moscow (2003).Google Scholar
  2. 2.
    I. P. Shabalov, Z. K. Shafirgin, and A. M. Muratov, Resource Saving Technology for Producing Thin Rolled Sheet with Improved User Properties [in Russian], Metallurgiya, Moscow (2007).Google Scholar
  3. 3.
    L. I. Éfron, Metal Science in Large Metallurgy. Pipe Steels [in Russian], Metallurgizdat, Moscow (2012).Google Scholar
  4. 4.
    Yu. S. Karabasov (ed), Steel at the Threshold of the Century [in Russian], ID MISiS, Moscow (2001).Google Scholar
  5. 5.
    I. M. Rozhkov, S. A. Vlasov, and G. N. Mul’ko, Mathematical Model for Selecting Steel Rational Technology and Quality Control [in Russian], Metallurgiya, Moscow (1990).Google Scholar
  6. 6.
    M. A. Shtremel’, A. V. Kudrya, and A. V. Ivashchenko, “Non-parametric discriminatory analysis in tasks of quality control,” Zavod. Lab., Diagnostika Materialov, 72, No. 5, 53–62 (2006).Google Scholar
  7. 7.
    A. S. Mel’nichenko, Statistical Analysis in Metallurgy ad materials science [in Russian], ID MISiS, Moscow (2009).Google Scholar
  8. 8.
    A. V. Kudrya, I. P. Shabalov, É. A. Sokolovskaya, et al., “Possibility of controlling the quality of meta based on quality control recovered data,” Élektrometallurgiya, No. 11, 28–34 (2013).Google Scholar
  9. 9.
    I. V. Vier, D. S. Kaplan, V. S. Senichev, et al., “Experience of comprehensive automation of production and control processes in OAO MMK sub-divisions,” Stal’, No. 2, 125–127 (2007).Google Scholar
  10. 10.
    V. E. Gmurman, Probability Theory and Mathematic Statistics: High School Textbook [in Russian], Vysshaya Shkola, Moscow (2003).Google Scholar
  11. 11.
    A. B. Arabei, I. Yu. Pyshmintsev, M. A. Shtremel’, et al, “Resistance of steel of strength class K80 to ductile crack propagation in main gas pipelines,” Izv.Vyssh. Ucgebn. Zaved., Chern. Met., No. 9, 3–8 (2009).Google Scholar
  12. 12.
    A. V. Kudrya and É. A. Sokolovskaya, “Information technology in the provision of metal product quality,” Élektrometallurgiya, No. 12, 35–43 (2010).Google Scholar
  13. 13.
    M. A. Stremel’, Failure: in 2 Vol., Vol. 1, Metal Failure [in Russian], Izd. Dom MISiS, Moscow (2014).Google Scholar
  14. 14.
    M. A. Shtremel’, Engineer in the Laboratory (Organization) [in Russian], Metallurgiya, Moscow (1983).Google Scholar
  15. 15.
    M. A. Shtremel’, “Information content of impact strength measurements,” Metal. Term. Obrab. Materialov, No. 11, 37–51 (2008).Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • A. V. Kudrya
    • 1
    Email author
  • I. P. Shabalov
    • 2
  • V. Ya. Velikodnev
    • 2
  • É. A. Sokolovskaya
    • 1
  • T. Sh. Akhmedova
    • 1
  • S. G. Vasil’ev
    • 1
  1. 1.National Research Technological University MISiSMoscowRussia
  2. 2.OOO Pipe Innovation TechnologiesMoscowRussia

Personalised recommendations