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Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels

The control of nanoparticle agglomeration during the fabrication of oxide dispersion strengthened steels is a key factor in maximizing their mechanical and high temperature reinforcement properties. However, the characterization of the nanoparticle evolution during processing represents a challenge...

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Autores principales: Yang, Yangyiwei, Doñate-Buendía, Carlos, Oyedeji, Timileyin David, Gökce, Bilal, Xu, Bai-Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269462/
https://www.ncbi.nlm.nih.gov/pubmed/34206612
http://dx.doi.org/10.3390/ma14133463
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author Yang, Yangyiwei
Doñate-Buendía, Carlos
Oyedeji, Timileyin David
Gökce, Bilal
Xu, Bai-Xiang
author_facet Yang, Yangyiwei
Doñate-Buendía, Carlos
Oyedeji, Timileyin David
Gökce, Bilal
Xu, Bai-Xiang
author_sort Yang, Yangyiwei
collection PubMed
description The control of nanoparticle agglomeration during the fabrication of oxide dispersion strengthened steels is a key factor in maximizing their mechanical and high temperature reinforcement properties. However, the characterization of the nanoparticle evolution during processing represents a challenge due to the lack of experimental methodologies that allow in situ evaluation during laser powder bed fusion (LPBF) of nanoparticle-additivated steel powders. To address this problem, a simulation scheme is proposed to trace the drift and the interactions of the nanoparticles in the melt pool by joint heat-melt-microstructure–coupled phase-field simulation with nanoparticle kinematics. Van der Waals attraction and electrostatic repulsion with screened-Coulomb potential are explicitly employed to model the interactions with assumptions made based on reported experimental evidence. Numerical simulations have been conducted for LPBF of oxide nanoparticle-additivated PM2000 powder considering various factors, including the nanoparticle composition and size distribution. The obtained results provide a statistical and graphical demonstration of the temporal and spatial variations of the traced nanoparticles, showing ∼55% of the nanoparticles within the generated grains, and a smaller fraction of ∼30% in the pores, ∼13% on the surface, and ∼2% on the grain boundaries. To prove the methodology and compare it with experimental observations, the simulations are performed for LPBF of a 0.005 wt % yttrium oxide nanoparticle-additivated PM2000 powder and the final degree of nanoparticle agglomeration and distribution are analyzed with respect to a series of geometric and material parameters.
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spelling pubmed-82694622021-07-10 Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels Yang, Yangyiwei Doñate-Buendía, Carlos Oyedeji, Timileyin David Gökce, Bilal Xu, Bai-Xiang Materials (Basel) Article The control of nanoparticle agglomeration during the fabrication of oxide dispersion strengthened steels is a key factor in maximizing their mechanical and high temperature reinforcement properties. However, the characterization of the nanoparticle evolution during processing represents a challenge due to the lack of experimental methodologies that allow in situ evaluation during laser powder bed fusion (LPBF) of nanoparticle-additivated steel powders. To address this problem, a simulation scheme is proposed to trace the drift and the interactions of the nanoparticles in the melt pool by joint heat-melt-microstructure–coupled phase-field simulation with nanoparticle kinematics. Van der Waals attraction and electrostatic repulsion with screened-Coulomb potential are explicitly employed to model the interactions with assumptions made based on reported experimental evidence. Numerical simulations have been conducted for LPBF of oxide nanoparticle-additivated PM2000 powder considering various factors, including the nanoparticle composition and size distribution. The obtained results provide a statistical and graphical demonstration of the temporal and spatial variations of the traced nanoparticles, showing ∼55% of the nanoparticles within the generated grains, and a smaller fraction of ∼30% in the pores, ∼13% on the surface, and ∼2% on the grain boundaries. To prove the methodology and compare it with experimental observations, the simulations are performed for LPBF of a 0.005 wt % yttrium oxide nanoparticle-additivated PM2000 powder and the final degree of nanoparticle agglomeration and distribution are analyzed with respect to a series of geometric and material parameters. MDPI 2021-06-22 /pmc/articles/PMC8269462/ /pubmed/34206612 http://dx.doi.org/10.3390/ma14133463 Text en © 2021 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
Yang, Yangyiwei
Doñate-Buendía, Carlos
Oyedeji, Timileyin David
Gökce, Bilal
Xu, Bai-Xiang
Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels
title Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels
title_full Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels
title_fullStr Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels
title_full_unstemmed Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels
title_short Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels
title_sort nanoparticle tracing during laser powder bed fusion of oxide dispersion strengthened steels
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269462/
https://www.ncbi.nlm.nih.gov/pubmed/34206612
http://dx.doi.org/10.3390/ma14133463
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