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Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel

On the basis of the two-dimensional cellular automaton model, a three-dimensional cellular automaton model of austenitizing process was established. By considering the orientation of pearlite layer and the direction of austenite grain growth, the velocity of the interface was calculated during the a...

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Detalles Bibliográficos
Autores principales: Su, Fuyong, Liu, Wenli, Wen, Zhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766327/
https://www.ncbi.nlm.nih.gov/pubmed/31540375
http://dx.doi.org/10.3390/ma12183022
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author Su, Fuyong
Liu, Wenli
Wen, Zhi
author_facet Su, Fuyong
Liu, Wenli
Wen, Zhi
author_sort Su, Fuyong
collection PubMed
description On the basis of the two-dimensional cellular automaton model, a three-dimensional cellular automaton model of austenitizing process was established. By considering the orientation of pearlite layer and the direction of austenite grain growth, the velocity of the interface was calculated during the austenitizing process. The austenitizing process of GCr15 steel was simulated, and the anisotropy of grain growth rate during austenitization was demonstrated by simulation results. By comparing the simulation results with the experimental data, it was found that the calculated results of the three-dimensional cellular automaton model established in this paper were in good agreement with the experimental results. By using this model, the three-dimensional austenitizing process of GCr15 steel at different temperatures and under different processing times can be analyzed, and the degree of austenitization can be predicted.
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spelling pubmed-67663272019-09-30 Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel Su, Fuyong Liu, Wenli Wen, Zhi Materials (Basel) Article On the basis of the two-dimensional cellular automaton model, a three-dimensional cellular automaton model of austenitizing process was established. By considering the orientation of pearlite layer and the direction of austenite grain growth, the velocity of the interface was calculated during the austenitizing process. The austenitizing process of GCr15 steel was simulated, and the anisotropy of grain growth rate during austenitization was demonstrated by simulation results. By comparing the simulation results with the experimental data, it was found that the calculated results of the three-dimensional cellular automaton model established in this paper were in good agreement with the experimental results. By using this model, the three-dimensional austenitizing process of GCr15 steel at different temperatures and under different processing times can be analyzed, and the degree of austenitization can be predicted. MDPI 2019-09-18 /pmc/articles/PMC6766327/ /pubmed/31540375 http://dx.doi.org/10.3390/ma12183022 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Su, Fuyong
Liu, Wenli
Wen, Zhi
Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel
title Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel
title_full Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel
title_fullStr Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel
title_full_unstemmed Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel
title_short Three-Dimensional Cellular Automata Simulation of the Austenitizing Process in GCr15 Bearing Steel
title_sort three-dimensional cellular automata simulation of the austenitizing process in gcr15 bearing steel
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766327/
https://www.ncbi.nlm.nih.gov/pubmed/31540375
http://dx.doi.org/10.3390/ma12183022
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