Autor: Marynowski, Przemysław - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Modeling of the Kinetics of Carbonitrides Precipitation Process and Simulate the Image of Microstructure Using Cellular Automata Method in Microalloyed Steels
Autorzy:: Marynowski, Przemysław
Hojny, Marcin
Powiązania:: https://bibliotekanauki.pl/articles/2134114.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: cellular automata
precipitation
carbonitrides
microalloying elements
microalloyed steel
Opis:: Microalloying elements such as Ti, Nb, V, entered into steel they influence their microstructure and mechanical properties, because formation of carbonitrides, M(C, N). Influence of carbonitrides to the microstructure and mechanical properties depends on their basic stereological parameters: volume fraction, Vv, and their size, r. In this work the Cellular Automata model of the kinetics of the carbonitrides precipitation which enable to predict the image of the microstructure and calculate the size of carbonitrides formed during isothermal annealing of supersaturated steel is presented. In the high temperature the microalloying elements inhibit the austenite grains growth. Chemical composition of steel has influence to volume fraction and size of precipitations. The work is supplemented with examples of experimental comparison.
Źródło:: Archives of Metallurgy and Materials; 2022, 67, 3; 1117--1124
1733-3490
Pojawia się w:: Archives of Metallurgy and Materials
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Identification of the Parameters of the Model Generating the Microstructure in the Integrated Heating-Remelting-Cooling Process
Autorzy:: Marynowski, Przemysław
Hojny, Marcin
Dębiński, Tomasz
Cedzidło, D.
Powiązania:: https://bibliotekanauki.pl/articles/27314150.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: heating-remelting-cooling process
Gleeble 3800
Monte Carlo method
grains
ogrzewanie
przetapianie
chłodzenie
Metoda Monte Carlo
ziarna
Opis:: This paper identifies and describes the parameters of a numerical model generating the microstructure in the integrated heating-remelting-cooling process of steel specimens. The numerical model allows the heating-remelting-cooling process to be simulated comprehensively. The model is based on the Monte Carlo (MC) method and the finite element method (FEM), and works within the entire volume of the steel sample, contrary to previous studies, in which calculations were carried out for selected, relatively small areas. Experimental studies constituting the basis for the identification and description of model parameters such as: probability function, initial number of orientations, number of cells and number of MC steps were carried out using the Gleeble 3800 thermo-mechanical simulator. The use of GPU capabilities improved the performance of the numerical model and significantly reduced the simulation time. Thanks to the significant acceleration of simulation times, it became possible to comprehensively implement a numerical model of the heating-transformation-cooling process in the entire volume of the test sample. The paper is supplemented by results of performance tests of the numerical model and results of simulation tests.
Źródło:: Archives of Foundry Engineering; 2023, 23, 2; 72--79
1897-3310
2299-2944
Pojawia się w:: Archives of Foundry Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Application of Virtual Reality and High Performance Computing in Designing Rotary Forming Processes
Autorzy:: Hojny, Marcin
Marynowski, Przemysław
Lipski, Grzegorz
Gądek, Tomasz
Nowacki, Łukasz
Powiązania:: https://bibliotekanauki.pl/articles/2134109.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: rotary forming
virtual reality
finite element
computer simulation
high performance computing
Opis:: This paper presents an innovative solution in the form of a virtual reality (VR) and high performance computing (HPC) system dedicated to aid designing rotary forming processes with laser beam reheating the material formed. The invented method allowing a virtual machine copy to be coupled with its actual counterpart and a computing engine utilizing GPU processors of graphic NVidia cards to accelerate computing are discussed. The completed experiments and simulations of the 316L stainless steel semi-product spinning process showed that the developed VR-HPC system solution allows the manufacturing process to be effectively engineered and controlled in industrial conditions.
Źródło:: Archives of Metallurgy and Materials; 2022, 67, 3; 1099--1105
1733-3490
Pojawia się w:: Archives of Metallurgy and Materials
Dostawca treści:: Biblioteka Nauki

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