Marina Tikhonova

Mrs. Marina Tikhonova


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 February 2018 in Advanced Engineering Materials
Verified
Journal Article
Closed access
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MTMarina Tikhonova
Marina Tikhonova
RKRustam Kaibyshev
Rustam Kaibyshev
Andrey BelyakovAndrey Belyakov
Andrey Belyakov

1 March 2013 in Materials Science and Engineering: A
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Journal Article
Closed access
MTMarina Tikhonova
Marina Tikhonova
Andrey BelyakovAndrey Belyakov
Andrey Belyakov
RKR. Kaibyshev
R. Kaibyshev

1 April 2011 in Materials Characterization
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Journal Article
Closed access
ZYZ. Yanushkevich
Z. Yanushkevich
AMA. Mogucheva
A. Mogucheva
MTMarina Tikhonova
Marina Tikhonova
Andrey BelyakovAndrey Belyakov
Andrey Belyakov
RKR. Kaibyshev
R. Kaibyshev

19 December 2022 in Metals
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Journal Article
Open access
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PDPavel Dolzhenko
Pavel Dolzhenko
MTMarina Tikhonova
Marina Tikhonova
Marina OdnobokovaMarina Odnobokova
Marina Odnobokova
K Rustam Kaibyshev
Rustam Kaibyshev
Andrey BelyakovAndrey Belyakov
Andrey Belyakov
The change in the grain boundary network during recrystallization and grain growth was studied in a 316L austenitic stainless steel subjected to 5% cold rolling reduction. The primary recrystallization rapidly developed upon heating to 1000 °C, resulting in the development of relatively coarse-grained microstructure with a grain size about 100 μm. The recrystallized microstructures contained large fractions of annealing twins with their ∑3n SCL boundaries. The latter ones served as interrupters of the ordinary grain boundary network. The fraction of ∑3n CSL boundaries increased with increasing the grain size during prolonged annealing. On the other hand, the number of interruptions per unit area remained nearly the same during annealing. Hence, the number of interruptions per a grain increased in accordance with a power law function of the grain size with an exponent of 2. The relationships obtained for the grain boundary network evolution can be used to predict the microstructure evolution in austenitic stainless steels during primary recrystallization followed by grain growth.

1 August 2012 in Materials Characterization
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Journal Article
Closed access
MTMarina Tikhonova
Marina Tikhonova
RKR. Kaibyshev
R. Kaibyshev
XFX. Fang
X. Fang
Wang WeiminWang Weimin
Wang Weimin
Andrey BelyakovAndrey Belyakov
Andrey Belyakov

14 September 2012 in Journal of Materials Science
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Journal Article
Closed access
PDF file
XFXiaoying Fang
Xiaoying Fang
ZLZhiyong Liu
Zhiyong Liu
MTMarina Tikhonova
Marina Tikhonova
Andrey BelyakovAndrey Belyakov
Andrey Belyakov
WWWeiguo Wang
Weiguo Wang