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On the importance of interface stability in cellular automata models: Planar and dendritic solidification in laser melted YSZ

Ushmaev, Dmitrii; Liao, Zhirong; Notron, Andy; Axinte, Dragos

On the importance of interface stability in cellular automata models: Planar and dendritic solidification in laser melted YSZ Thumbnail


Authors

Dmitrii Ushmaev

Andy Notron

DRAGOS AXINTE dragos.axinte@nottingham.ac.uk
Professor of Manufacturing Engineering



Abstract

Laser-processing technologies are often applied to enhance the properties of ceramics, such as laser glazing of Yttria Stabilised Zirconia (YSZ). However, very limited attention was paid to the solidification phenomena and mechanisms of YSZ. In this paper, two coexisting solidification behaviours of laser-melted YSZ have been identified, namely grain bending (crystals with curved grain boundary geometry under the surface) and grain surface sealing (in-plane surficial crystals cover vertical columnar grains). Although these phenomena have been reported, this is the first time the two phenomena coexist in the same material. A new cellular automata (CA) approach has been proposed to explain the formation mechanisms of these two phenomena. This new CA method consists of the separation of growth modes into dendritic and planar growth, whose critical transition value is calculated based on the supercooling theory. Besides, the proposed model for planar growth is far less computationally expensive than the widely used decentred octahedron algorithm. A good agreement with the EBSD data of longitudinal cross-sections and the top surface has been observed which proves that the proposed method can become a more realistic and efficient way to predict the grain microstructure in laser processing, allowing to capture dendritic and planar growth simultaneously.

Journal Article Type Article
Acceptance Date Jun 3, 2022
Online Publication Date Jun 8, 2022
Publication Date 2022-07
Deposit Date May 11, 2023
Publicly Available Date May 26, 2023
Journal Materials and Design
Print ISSN 0264-1275
Electronic ISSN 1873-4197
Publisher Elsevier BV
Peer Reviewed Peer Reviewed
Volume 219
Article Number 110823
DOI https://doi.org/10.1016/j.matdes.2022.110823
Public URL https://nottingham-repository.worktribe.com/output/8956397
Publisher URL https://www.sciencedirect.com/science/article/pii/S0264127522004452

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