Advertisement

Metal Science and Heat Treatment

, Volume 55, Issue 5–6, pp 265–269 | Cite as

Application of the method of design of an optimum experiment to determine the regimes of thermomechanical treatment of welded joints of zirconium alloys

  • A. N. Semenov
  • M. I. Plyshevskii
  • V. P. Gordo
  • N. S. Rassoshkina
Simulation
  • 52 Downloads

Welded joints of pipes made of the zirconium alloy Zr – 2.5% Nb (alloy N-2.5) with transition joints of the alloy N-2.5 – steel 08Kh18N10T are investigated. The welded joints are subjected to thermomechanical treatment, comprising surface plastic deformation and subsequent vacuum annealing. Optimum regimes of annealing with the use of the method of design of an optimum experiment are determined.

Key words

welded joints zirconium alloys method of experiment design 

References

  1. 1.
    Yu. P. Adler, E. V. Markova, and Yu. V. Granovskii, Design of Experiments in the Search for Optimal Solutions [in Russian], Nauka, Moscow (1976), 280 p.Google Scholar
  2. 2.
    V. V. Nalimov and N. A. Chernova, Statistical Methods for the Design of Extremal Experiments [in Russian], Nauka, Moscow (1965), 340 p.Google Scholar
  3. 3.
    V. G. Gorskii and Yu. P. Adler, Design of Industrial Experiments [in Russian], Metallurgiya, Moscow (1977), 274 p.Google Scholar
  4. 4.
    V. N. Tyurin, I. S. Lupakov, V. G. Parfenov, et al., “Influence of plastic deformation and subsequent annealing on the structure and corrosion resistance of welded joints of zirconium alloy,” Svar. Proizvod., No. 5, 13–14 (1976).Google Scholar
  5. 5.
    General and Physical Metallurgy of Pure Metals, Collection of Scientific Studies, Issue 6 [in Russian], Atomizdat, Moscow (1977).Google Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • A. N. Semenov
    • 1
  • M. I. Plyshevskii
    • 1
  • V. P. Gordo
    • 1
  • N. S. Rassoshkina
    • 1
  1. 1.N. A. Dollezhal Research and Development Institute of Power Engineering (OJSC NIKIET)MoscowRussia

Personalised recommendations