Irina Roslyakova

ORCID: 0000-0003-4329-6502
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Research Areas
  • High Temperature Alloys and Creep
  • Aluminum Alloy Microstructure Properties
  • Microstructure and Mechanical Properties of Steels
  • X-ray Diffraction in Crystallography
  • Intermetallics and Advanced Alloy Properties
  • Metallurgical Processes and Thermodynamics
  • Metallurgical and Alloy Processes
  • Metallurgy and Material Forming
  • Chemical Thermodynamics and Molecular Structure
  • Machine Learning in Materials Science
  • Thermal and Kinetic Analysis
  • Advanced Materials Characterization Techniques
  • Crystallization and Solubility Studies
  • High Entropy Alloys Studies
  • Radioactive element chemistry and processing
  • Nuclear Materials and Properties
  • Magnesium Alloys: Properties and Applications
  • Manufacturing Process and Optimization
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Fatigue and fracture mechanics
  • Industrial Vision Systems and Defect Detection
  • nanoparticles nucleation surface interactions
  • Semiconductor materials and interfaces
  • High-Temperature Coating Behaviors
  • Phase Change Materials Research

Ruhr University Bochum
2016-2024

10.1016/j.ijrmhm.2022.105780 article EN International Journal of Refractory Metals and Hard Materials 2022-01-10

A new constitutive creep model for Ni-base superalloys has been developed that links the instantaneous response to incremental microstructure changes occurring during creep. The structure starts with cuboidal γ′- particles embedded in γ-phase, and transitions a rafted structure. In present Kocks-Mecking type of model, dislocation density ρ is considered as state variable evolves increase depends on γ-channel width γ/γ′-microstructure. Recovery, i.e., reduction ρ, modelled from thermally...

10.1016/j.msea.2024.146780 article EN cc-by Materials Science and Engineering A 2024-06-11

16 Mg–Al–Zn–Bi quaternary alloys were utilized to measure the phase equilibria and transformation temperatures in Mg-rich system by means of X-ray diffraction, electron probe micro-analysis differential scanning calorimetry techniques. The isothermal section at 400 °C three vertical sections along Mg–8 wt%Al–0.75 wt%Zn–xBi, Mg–3.4 wt%Al–0.5 wt%Zn–xBi Mg–6.9 wt%Al–2.3 constructed. Based on literature data, ternary Mg–Al–Bi Mg–Bi–Zn systems re-assessed using CALculaiton PHAse Diagram (CALPHAD)...

10.1016/j.jma.2020.03.007 article EN cc-by-nc-nd Journal of Magnesium and Alloys 2020-06-30

Abstract A novel approach is developed to support retrieval of 3D information from 2D experimental micrographs. The utilizes phase-field simulations train an artificial intelligence machine. In a first step, the have be validated reproduce microstructural features which characterize elementary processes govern processing and high temperature service exposure. qualified simulation setup then applied produce number simulated micrographs by automated sectioning. These are used gradient boosting...

10.1088/1361-651x/acc089 article EN cc-by Modelling and Simulation in Materials Science and Engineering 2023-03-02

Abstract The development of accurate kinetic databases by parametrizing the composition and temperature dependence elemental atomic mobilities, is essential for correct multicomponent calculations simulations. In this work automated assessment procedure establishment CALPHAD-type proposed, including storage raw data results, automatic weighting data, parameter selection reassessments. This allows reproducible up-to-date databases. proposed software, written in python, applied to a database...

10.1088/1361-651x/abf62b article EN cc-by Modelling and Simulation in Materials Science and Engineering 2021-04-09

Abstract On the basis of recently proposed physically-based segmented model, descriptions for Gibbs energy pure Cr and Ta down to 0 K were first established. After that, a thermodyna...

10.3139/146.111812 article EN International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde) 2019-09-15

Abstract In this work, an automated image analysis procedure for the quantification of microstructure evolution during creep is proposed evaluating scanning electron microscopy micrographs a single crystal Ni-based superalloy before and after at 950 °C 350 MPa. microscopy-micrographs γ / ′ microstructures are transformed into binary images. Image analysis, which involves pixel by classification feature extraction, then combined with supervised machine learning algorithm to improve...

10.1088/1361-651x/abfd1a article EN cc-by Modelling and Simulation in Materials Science and Engineering 2021-04-29

Alloys-by-design is a term used to describe new alloy development techniques based on numerical simulation. These approaches are extensively for nickel-base superalloys increase the chance of success in development. During production numerically optimized compositions, unavoidable scattering element concentrations occurs. In present paper, we investigate effect this scatter properties. particular, routes identify compositions by simulations that more robust than other compositions. our...

10.1088/1361-651x/aaf0b8 article EN cc-by Modelling and Simulation in Materials Science and Engineering 2018-11-14

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10.2139/ssrn.4728771 preprint EN 2024-01-01

Abstract Nickel-based superalloys have a wide range of applications in high temperature and stress domains due to their unique mechanical properties. Under loading at temperatures, rafting occurs, which reduces the service life these materials. Rafting is heavily affected by conditions associated with plastic strain; therefore, understanding strain evolution can help understand material’s life. This research classifies nickel-based respect creep deep learning techniques, technique that...

10.1088/1361-651x/ac3217 article EN cc-by Modelling and Simulation in Materials Science and Engineering 2021-10-21

A physically sound thermochemical model accounting for explicit thermal vacancies in elements and alloys is presented. The transfers the latest theoretical understanding of vacancy formation into Calphad formalism where it can extend currently available thermodynamic databases to cover concentrations without a complete re-assessment. parametrization based on ab initio-calculated enthalpy two parameters describing excess heat capacity formation. Excellent agreement obtained with...

10.1038/s41598-022-16926-5 article EN cc-by Scientific Reports 2022-08-04

Abstract The high volume of data resulting from a rapidly increasing number experiments in materials science necessitates an efficient preparing the before any analysis. In addition, due to large datasets some experiments, it is essential reduce sample small representative points. this study, three statistical methods for change-point analysis are tested automated selection creep which provides possibilities speed up preparation their further Moreover, approach aids practitioner produce...

10.1088/2399-6528/aba7ff article EN cc-by Journal of Physics Communications 2020-07-01
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