Yang, Yangyiwei ; Doñate-Buendía, Carlos ; Oyedeji, Timileyin David ; Gökce, Bilal ; Xu, Bai-Xiang (2021)
Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels.
In: Materials, 2021, 14 (13)
doi: 10.26083/tuprints-00019391
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Nanoparticle Tracing during Laser Powder Bed Fusion of Oxide Dispersion Strengthened Steels |
Language: | English |
Date: | 30 August 2021 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2021 |
Publisher: | MDPI |
Journal or Publication Title: | Materials |
Volume of the journal: | 14 |
Issue Number: | 13 |
Collation: | 24 Seiten |
DOI: | 10.26083/tuprints-00019391 |
Corresponding Links: | |
Origin: | Secondary publication via sponsored Golden Open Access |
Abstract: | 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 derWaals 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. |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-193919 |
Additional Information: | Keywords: additive manufacturing; laser powder bed fusion; selective laser melting; oxide dispersion strengthened steel; phase-field model; finite element simulation; nanoparticle interaction |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 11 Department of Materials and Earth Sciences > Material Science > Functional Materials |
Date Deposited: | 30 Aug 2021 12:19 |
Last Modified: | 05 Dec 2024 12:32 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19391 |
PPN: | 485016796 |
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