Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton model

In this paper, an improved cellular automaton (CA) model with low grid anisotropy has been implemented using the zigzag capture rule and growth anisotropy reduction with diffusion method. The improved CA model can describe the evolution of the spherical growth, dendritic growth, and undercooling fie...

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Main Authors: Wenqiang Liu, Ruijie Zhang, Xiaoyan Wu, Longfei Li, Hui Zhang, Jun Li, Haitao Jiang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Materials & Design
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Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524009365
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author Wenqiang Liu
Ruijie Zhang
Xiaoyan Wu
Longfei Li
Hui Zhang
Jun Li
Haitao Jiang
author_facet Wenqiang Liu
Ruijie Zhang
Xiaoyan Wu
Longfei Li
Hui Zhang
Jun Li
Haitao Jiang
author_sort Wenqiang Liu
collection DOAJ
description In this paper, an improved cellular automaton (CA) model with low grid anisotropy has been implemented using the zigzag capture rule and growth anisotropy reduction with diffusion method. The improved CA model can describe the evolution of the spherical growth, dendritic growth, and undercooling field, thus achieving a more accurate estimation of grain size than previous models. The model was used to simulate nucleation behavior and grain size of Al-8Si-0.2 Mg (wt.%) alloy inoculated with Al-Nb-B refiner, quantitatively revealing the factors that suppressed nucleation. Results show that when the inoculant particles were uniformly distributed, latent heat was the main factor restricting nucleation. Latent heat inhibited nucleation by reducing the available undercooling and terminating nucleation at the recalescence. When considering the agglomeration of particles, the effects of latent heat and solute suppressed nucleation (SSN) on nucleation inhibition accounted for 37.57 % and 58.58 %, respectively. Agglomeration caused the particle spacing to be smaller than that of a uniform distribution, and the SSN effect significantly increased as the separation distance decreased, resulting in a large portion of particles losing nucleation potency. In addition, it was found that the refinement by high cooling rate was attributed to not only providing more undercooling but also reducing SSN zone thickness.
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institution Kabale University
issn 0264-1275
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publishDate 2025-01-01
publisher Elsevier
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series Materials & Design
spelling doaj-art-02308ff8a32f4fa2a75cef47c961d08f2025-01-09T06:12:25ZengElsevierMaterials & Design0264-12752025-01-01249113561Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton modelWenqiang Liu0Ruijie Zhang1Xiaoyan Wu2Longfei Li3Hui Zhang4Jun Li5Haitao Jiang6National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, ChinaCollaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing 100083, China; Corresponding authors.National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, ChinaBeijing National Innovation Institute of Lightweight Ltd., Beijing 100083, ChinaNational Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, ChinaNational Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, China; NIO automobile (Anhui), Hefei, Anhui Province, 230601, ChinaNational Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing 100083, China; Corresponding authors.In this paper, an improved cellular automaton (CA) model with low grid anisotropy has been implemented using the zigzag capture rule and growth anisotropy reduction with diffusion method. The improved CA model can describe the evolution of the spherical growth, dendritic growth, and undercooling field, thus achieving a more accurate estimation of grain size than previous models. The model was used to simulate nucleation behavior and grain size of Al-8Si-0.2 Mg (wt.%) alloy inoculated with Al-Nb-B refiner, quantitatively revealing the factors that suppressed nucleation. Results show that when the inoculant particles were uniformly distributed, latent heat was the main factor restricting nucleation. Latent heat inhibited nucleation by reducing the available undercooling and terminating nucleation at the recalescence. When considering the agglomeration of particles, the effects of latent heat and solute suppressed nucleation (SSN) on nucleation inhibition accounted for 37.57 % and 58.58 %, respectively. Agglomeration caused the particle spacing to be smaller than that of a uniform distribution, and the SSN effect significantly increased as the separation distance decreased, resulting in a large portion of particles losing nucleation potency. In addition, it was found that the refinement by high cooling rate was attributed to not only providing more undercooling but also reducing SSN zone thickness.http://www.sciencedirect.com/science/article/pii/S0264127524009365Grain refinementCellular automaton modelAl-Nb-B refinerHypoeutectic Al-Si alloy
spellingShingle Wenqiang Liu
Ruijie Zhang
Xiaoyan Wu
Longfei Li
Hui Zhang
Jun Li
Haitao Jiang
Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton model
Materials & Design
Grain refinement
Cellular automaton model
Al-Nb-B refiner
Hypoeutectic Al-Si alloy
title Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton model
title_full Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton model
title_fullStr Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton model
title_full_unstemmed Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton model
title_short Simulation of grain refinement of Al-8Si-0.2 Mg alloy inoculated with Al-Nb-B via an improved cellular automaton model
title_sort simulation of grain refinement of al 8si 0 2 mg alloy inoculated with al nb b via an improved cellular automaton model
topic Grain refinement
Cellular automaton model
Al-Nb-B refiner
Hypoeutectic Al-Si alloy
url http://www.sciencedirect.com/science/article/pii/S0264127524009365
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