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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8269462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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