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An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization

Powder Bed Fusion–Laser Beam (PBF–LB) processing of magnesium (Mg) alloys is gaining increasing attention due to the possibility of producing complex biodegradable implants for improved healing of large bone defects. However, the understanding of the correlation between the PBF–LB process parameters...

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Autores principales: Nilsson Åhman, Hanna, Thorsson, Lena, Mellin, Pelle, Lindwall, Greta, Persson, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781832/
https://www.ncbi.nlm.nih.gov/pubmed/35057130
http://dx.doi.org/10.3390/ma15020417
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author Nilsson Åhman, Hanna
Thorsson, Lena
Mellin, Pelle
Lindwall, Greta
Persson, Cecilia
author_facet Nilsson Åhman, Hanna
Thorsson, Lena
Mellin, Pelle
Lindwall, Greta
Persson, Cecilia
author_sort Nilsson Åhman, Hanna
collection PubMed
description Powder Bed Fusion–Laser Beam (PBF–LB) processing of magnesium (Mg) alloys is gaining increasing attention due to the possibility of producing complex biodegradable implants for improved healing of large bone defects. However, the understanding of the correlation between the PBF–LB process parameters and the microstructure formed in Mg alloys remains limited. Thus, the purpose of this study was to enhance the understanding of the effect of the PBF–LB process parameters on the microstructure of Mg alloys by investigating the applicability of computational thermodynamic modelling and verifying the results experimentally. Thus, PBF–LB process parameters were optimized for a Mg WE43 alloy (Mg-Y(3.)(9wt%)-Nd(3wt%)-Zr(0.5wt%)) on a commercially available machine. Two sets of process parameters successfully produced sample densities >99.4%. Thermodynamic computations based on the Calphad method were employed to predict the phases present in the processed material. Phases experimentally established for both processing parameters included α-Mg, Y(2)O(3), Mg(3)Nd, Mg(24)Y(5) and hcp-Zr. Phases α-Mg, Mg(24)Y(5) and hcp-Zr were also predicted by the calculations. In conclusion, the extent of the applicability of thermodynamic modeling was shown, and the understanding of the correlation between the PBF–LB process parameters and the formed microstructure was enhanced, thus increasing the viability of the PBF–LB process for Mg alloys.
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spelling pubmed-87818322022-01-22 An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization Nilsson Åhman, Hanna Thorsson, Lena Mellin, Pelle Lindwall, Greta Persson, Cecilia Materials (Basel) Article Powder Bed Fusion–Laser Beam (PBF–LB) processing of magnesium (Mg) alloys is gaining increasing attention due to the possibility of producing complex biodegradable implants for improved healing of large bone defects. However, the understanding of the correlation between the PBF–LB process parameters and the microstructure formed in Mg alloys remains limited. Thus, the purpose of this study was to enhance the understanding of the effect of the PBF–LB process parameters on the microstructure of Mg alloys by investigating the applicability of computational thermodynamic modelling and verifying the results experimentally. Thus, PBF–LB process parameters were optimized for a Mg WE43 alloy (Mg-Y(3.)(9wt%)-Nd(3wt%)-Zr(0.5wt%)) on a commercially available machine. Two sets of process parameters successfully produced sample densities >99.4%. Thermodynamic computations based on the Calphad method were employed to predict the phases present in the processed material. Phases experimentally established for both processing parameters included α-Mg, Y(2)O(3), Mg(3)Nd, Mg(24)Y(5) and hcp-Zr. Phases α-Mg, Mg(24)Y(5) and hcp-Zr were also predicted by the calculations. In conclusion, the extent of the applicability of thermodynamic modeling was shown, and the understanding of the correlation between the PBF–LB process parameters and the formed microstructure was enhanced, thus increasing the viability of the PBF–LB process for Mg alloys. MDPI 2022-01-06 /pmc/articles/PMC8781832/ /pubmed/35057130 http://dx.doi.org/10.3390/ma15020417 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nilsson Åhman, Hanna
Thorsson, Lena
Mellin, Pelle
Lindwall, Greta
Persson, Cecilia
An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization
title An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization
title_full An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization
title_fullStr An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization
title_full_unstemmed An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization
title_short An Enhanced Understanding of the Powder Bed Fusion–Laser Beam Processing of Mg-Y(3.9wt%)-Nd(3wt%)-Zr(0.5wt%) (WE43) Alloy through Thermodynamic Modeling and Experimental Characterization
title_sort enhanced understanding of the powder bed fusion–laser beam processing of mg-y(3.9wt%)-nd(3wt%)-zr(0.5wt%) (we43) alloy through thermodynamic modeling and experimental characterization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8781832/
https://www.ncbi.nlm.nih.gov/pubmed/35057130
http://dx.doi.org/10.3390/ma15020417
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