Boris Korneev

Dr. Boris Korneev

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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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Journal Article
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MBMaria Bogdanova
Maria Bogdanova
SCStanislav Chernyshikhin
Stanislav Chernyshikhin
AZAndrey Zakirov
Andrey Zakirov
BZBoris Zotov
Boris Zotov
LFLeonid Fedorenko
Leonid Fedorenko
Gromov Alexandrovich GromovGromov Alexandrovich Gromov
Gromov Alexandrovich Gromov
Low performance is considered one of the main drawbacks of laser powder bed fusion (LPBF) technology. In the present work, the effect of the AlSi10Mg powder layer thickness on the laser melting process was investigated to improve the LPBF building rate. A high-fidelity simulation of the melt pool formation was performed for different thicknesses of the powder bed using the Kintech Simulation Software for Additive Manufacturing (KiSSAM, version cd8e01d) developed by the authors. The powder bed after the recoating operation was obtained by the discrete element method. The laser energy deposition on the powder particles and the substrate was simulated by ray tracing. For the validation of the model, an experimental analysis of single tracks was performed on two types of substrates. The first substrate was manufactured directly with LPBF technology, while the second was cast. The simulation was carried out for various combinations of process parameters, predominantly with a high energy input, which provided a sufficient remelting depth. The calculations revealed the unstable keyhole mode appearance associated with the low absorptivity of the aluminum alloy at a scanning speed of 300 mm/s for all levels of the laser power (325–375 W). The results allowed formulating the criteria for the lack of fusion emerging during LPBF with an increased layer thickness. This work is expected to provide a scientific basis for the analysis of the maximum layer thickness via simulation to increase the performance of the technology.

1 January 2019 in Keldysh Institute Preprints
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AZAndrey Zakirov
Andrey Zakirov
BKBoris Korneev
Boris Korneev
VLVadim Dmitrievich Levchenko
Vadim Dmitrievich Levchenko
APAnastasia Perepelkina
Anastasia Perepelkina

14 February 2024 in Progress in Additive Manufacturing
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AZAndrey Zakirov
Andrey Zakirov
SBSergei Belousov
Sergei Belousov
MBMaria Bogdanova
Maria Bogdanova
BKBoris Korneev
Boris Korneev
IIInna Iskandarova
Inna Iskandarova
BPBoris Potapkin
Boris Potapkin

1 January 2015 in Procedia Computer Science
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BKBoris Korneev
Boris Korneev
VLVadim D. Levchenko
Vadim D. Levchenko
In this paper the solver based upon the RKDG method for solving three-dimensional Euler equations of gas dynamics is considered. For the numerical scheme the GPU implementation algorithm called DiamondTorre is used, which helps to improve the performance speed of cal- culations. The problem of the interaction of a spherical bubble with a planar shock wave is considered in the three-dimensional setting. The obtained calculations are in agreement with the known results of experiments and numerical simulations. The calculation results are ob- tained with the use of the PC

3 February 2016 in Journal of Physics: Conference Series
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BKBoris Korneev
Boris Korneev
VLVadim Levchenko
Vadim Levchenko
Interaction between a shock wave and an inhomogeneity in fluid has complicated behavior, including vortex and turbulence generating, mixing, shock wave scattering and reflection. In the present paper we deal with the numerical simulation of the considered process. The Euler equations of unsteady inviscid compressible three-dimensional flow are used into the four-equation model of multicomponent flow. These equations are discretized using the RKDG numerical method. It is implemented with the help of the DiamondTorre algorithm, so the effective GPGPU solver is obtained having outstanding computing properties. With its use we carry out several sets of numerical experiments of shock-bubble interaction problem. The bubble deformation and mixture formation is observed.

1 March 2016 in Computational Mathematics and Mathematical Physics
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BKBoris Korneev
Boris Korneev
VLV. D. Levchenko
V. D. Levchenko