Roman Kulagin

Dr. Roman Kulagin

Karlsruhe Institute of Technology (KIT)Institute of Nanotechnology (INT) Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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6 August 2021 in Materials Research Letters
Verified
Journal Article
Open access
JEJuri Estrin
Juri Estrin
YBYan Beygelzimer
Yan Beygelzimer
Roman KulaginRoman Kulagin
Roman Kulagin
PGPeter Gumbsch
Peter Gumbsch
Peter FratzlPeter Fratzl
Peter Fratzl
HHHorst Hahn
Horst Hahn
This article overviews several areas of research into architectured materials which, in the opinion of the authors, are most topical and promising. The classes of materials considered are based on meso scale designs inspired by animate and inanimate Nature, but also on those born in the minds of scientists and engineers, without any inspiration from Nature. We present the principles governing the design of the emerging materials architectures, discuss their explored and anticipated properties, and provide an outlook on their future developments and applications. GRAPHICAL ABSTRACT IMPACT STATEMENT The article addresses several hot topics with a great promise for innovative materials design.

13 October 2020 in Advanced Engineering Materials
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Journal Article
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Roman KulaginRoman Kulagin
Roman Kulagin
YBYan Beygelzimer
Yan Beygelzimer
YEYuri Estrin
Yuri Estrin
ASArtem Schumilin
Artem Schumilin
PGPeter Gumbsch
Peter Gumbsch
Architectured beam lattice materials whose anisotropy can be tuned by varying the composition of their elementary cell are investigated. As an exemplary prototype of such material architecture, a regular triangular lattice with an elementary cell composed of 12 beams is considered. One out of three possible values of the elastic modulus is assigned to each beam. The structure is fully defined by a vector in the 12D composition‐structure space whose components are given by the elastic modulus values of the beams comprising the elementary cell. The elastic properties of this 2D material are represented by the compliance elasticity tensor with six independent compliance coefficients. Aiming at a specific set of properties thus involves finding the point in the 12D composition‐structure space that corresponds to a given point in the 6D property space. This is a problem of large dimensionality. To solve it, the neural network approach is used. This enables creation of architectured materials with tunable elastic anisotropy. A chiral element combining large twist with additional anisotropy requirements is presented as an example of successful machine‐learning‐based optimization of beam lattices proposed.

8 May 2017 in IOP Conference Series: Materials Science and Engineering
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Conference Paper
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Roman KulaginRoman Kulagin
Roman Kulagin
YBY Beygelzimer
Y Beygelzimer
YIY Ivanisenko
Y Ivanisenko
AMA Mazilkin
A Mazilkin
HHH Hahn
H Hahn
We analyzed experimentally and theoretically deviations from the simple High Pressure Torsion (HPT) scheme. We showed that the nature of the plastic flow and the deformed state of the sample under HPT depends on the structure and mechanical properties of the material being processed. Both laminar and turbulent flows under HPT were analysed. It was demonstrated that non-laminar flow causes intensive mass transfer and mixing of the deformed material. As an example, mechanical synthesis of the high entropy alloys from elemental powders by HPT is presented.

14 January 2022 in Materials
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Boris B StraumalBoris B Straumal
Boris B Straumal
Roman KulaginRoman Kulagin
Roman Kulagin
LKLeonid Klinger
Leonid Klinger
EREugen Rabkin
Eugen Rabkin
PSPetr Straumal
Petr Straumal
BBBrigitte Baretzky
Brigitte Baretzky
During severe plastic deformation (SPD), the processes of lattice defect formation as well as their relaxation (annihilation) compete with each other. As a result, a dynamic equilibrium is established, and a steady state is reached after a certain strain value. Simultaneously, other kinetic processes act in opposite directions and also compete with each other during SPD, such as grain refinement/growth, mechanical strengthening/softening, formation/decomposition of solid solution, etc. These competing processes also lead to dynamic equilibrium and result in a steady state (saturation), albeit after different strains. Among these steady-state phenomena, particle fragmentation during the second phase of SPD has received little attention. Available data indicate that precipitate fragmentation slows down with increasing strain, though saturation is achieved at higher strains than in the case of hardness or grain size. Moreover, one can consider the SPD-driven nanocrystallization in the amorphous phase as a process that is opposite to the fragmentation of precipitates. The size of these crystalline nanoprecipitates also saturates after a certain strain. The fragmentation of precipitates during SPD is the topic of this review.

7 September 2016 in Beilstein Journal of Nanotechnology
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YBYan Beygelzimer
Yan Beygelzimer
Roman KulaginRoman Kulagin
Roman Kulagin
Laszlo TothLaszlo Toth
Laszlo Toth
YIYulia Ivanisenko
Yulia Ivanisenko
By analyzing the problem of high pressure torsion (HPT) in the rigid plastic formulation, we show that the power hardening law of plastically deformed materials leads to self-similarity of HPT, admitting a simple mathematical description of the process. The analysis shows that the main parameters of HPT are proportional to βq, with β being the angle of the anvil rotation. The meaning of the parameterqis:q= 0 for velocity and strain rate,q= 1 for shear strain and von Mises strain,q=nfor stress, pressure and torque (nis the exponent of a power hardening law). We conclude that if the hardening law is a power law in a rotation interval β, self-similar regimes can emerge in HPT if the friction with the lateral wall of the die is not too high. In these intervals a simple mathematical description can be applied based on self-similarity. Outside these ranges, the plasticity problem still has to be solved for each value of β. The results obtained have important practical implications for the proper design and analysis of HPT experiments.

31 December 2021 in Crystals
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Boris B StraumalBoris B Straumal
Boris B Straumal
Roman KulaginRoman Kulagin
Roman Kulagin
BBBrigitte Baretzky
Brigitte Baretzky
NANatalia Anisimova
Natalia Anisimova
Mikhail KiselevskiyMikhail Kiselevskiy
Mikhail Kiselevskiy
Ruslan ValievRuslan Valiev
Ruslan Valiev
This review discusses an area of expertise that is at the intersection of three large parts of materials science. These are phase transformations, severe plastic deformation (SPD), and high-entropy alloys (HEA). First, SPD makes it possible to determine the borders of single-phase regions of existence of a multicomponent solid solution in HEAs. An important feature of SPD is that using these technologies, it is possible to obtain second-phase nanoparticles included in a matrix with a grain size of several tens of nanometers. Such materials have a very high specific density of internal boundaries. These boundaries serve as pathways for accelerated diffusion. As a result of the annealing of HEAs subjected to SPD, it is possible to accurately determine the border temperature of a single-phase solid solution area on the multicomponent phase diagram of the HEA. Secondly, SPD itself induces phase transformations in HEAs. Among these transformations is the decomposition of a single-phase solid solution with the formation of nanoparticles of the second phase, the formation of high-pressure phases, amorphization, as well as spinodal decomposition. Thirdly, during SPD, a large number of new grain boundaries (GBs) are formed due to the crystallites refinement. Segregation layers exist at these new GBs. The concentration of the components in GBs differs from that in the bulk solid solution. As a result of the formation of a large number of new GBs, atoms leave the bulk solution and form segregation layers. Thus, the composition of the solid solution in the volume also changes. All these processes make it possible to purposefully influence the composition, structure and useful properties of HEAs, especially for medical applications.