Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Mironov, Sergey

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023The evolution of abnormal grains during the heating stage of a post-weld solution treatment in a friction-stir-welded 2519 aluminium alloy5citations
  • 2020Repeated measurements and quality of estimates in the analysis of NPP pipeline erosion-corrosion wear1citations
  • 2018EBSD characterization of cryogenically rolled type 321 austenitic stainless steel10citations
  • 2017EBSD анализ микроструктуры аустенитной стали после прокатки в криогенных условияхcitations
  • 2016Grain growth during annealing of cryogenically-rolled Cu-30Zn brass11citations
  • 2015A two-step approach for producing an ultrafine-grain structure in Cu-30Zn brass5citations
  • 2012Криогенная пластическая деформация технически чистой меди. Механизмы, особенности формирования структуры, стабильностьcitations

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Zuiko, Ivan S.
1 / 1 shared
Rahimi, Salah
1 / 44 shared
Kaibyshev, Rustam
1 / 9 shared
Malopheyev, Sergey
1 / 1 shared
Salnikov, Nikolay
1 / 2 shared
Gulina, Olga
1 / 3 shared
Baranenko, Valery
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Konkova, Tatyana
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Aletdinov, Ainur
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Korznikova, Galia
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Semiatin, Sheldon Lee
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Myshlyaev, Michail
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Zaripova, Rida
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Semiatin, S. Lee
1 / 4 shared
Korznikov, Alexander
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Myshlyaev, Mikhail M.
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Semiatin, Lee
1 / 1 shared
Myshlyaev, Mikhail
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Korznikov, Aleksandr
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Co-Authors (by relevance)

  • Zuiko, Ivan S.
  • Rahimi, Salah
  • Kaibyshev, Rustam
  • Malopheyev, Sergey
  • Salnikov, Nikolay
  • Gulina, Olga
  • Baranenko, Valery
  • Konkova, Tatyana
  • Aletdinov, Ainur
  • Korznikova, Galia
  • Semiatin, Sheldon Lee
  • Myshlyaev, Michail
  • Zaripova, Rida
  • Semiatin, S. Lee
  • Korznikov, Alexander
  • Myshlyaev, Mikhail M.
  • Semiatin, Lee
  • Myshlyaev, Mikhail
  • Korznikov, Aleksandr
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article

Repeated measurements and quality of estimates in the analysis of NPP pipeline erosion-corrosion wear

  • Salnikov, Nikolay
  • Mironov, Sergey
  • Gulina, Olga
  • Baranenko, Valery
Abstract

The article presents a study carried out on carbon steel pipe components subjected to erosion-corrosion wear (ECW). Based on the repeated control data, the authors present the calculated ECW characteristics, i.e., the wall-thinning and rate. It is shown that such estimates contain great uncertainty due to corrosion products deposited on the pipeline inner surface and their migration during operation. In addition, with an increase in the operating time, for example, when the lifetime is extended, the difference between the forecast and the results of control becomes larger. This means that the error in the estimates of the residual lifetime also increases. The study is based on the data of wall thickness measurements of the feedwater pipeline (273×16 mm) and steam pipeline (465×16mm) of nuclear power plants with the VVER-440 reactors, for which a sufficient number of repeated measurements were performed over a large time interval. An analysis is made of the error in estimating the pipeline wall-thinning and ECW rate using Chexal-Horowitz Flow-Accelerated Corrosion (FAC) Model (EKI-02 and EKI-03 software tools). The estimate of the ECW rate according to the above forecast model differs from the estimate according to the current control data by no more than 12.5%, since the corrosion products deposited on the pipeline inner surface wall are leveled at a large time base. When calculating the wall-thinning, due to the obvious filtering of the control data, it is possible to achieve an acceptable accuracy of estimates, i.e., about 16% without upgrading the model.

Topics
  • impedance spectroscopy
  • surface
  • Carbon
  • steel
  • erosion-corrosion