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 CharacterizationShow others and affiliations
2022 (English)In: Materials, E-ISSN 1996-1944, Vol. 15, no 2, article id 417
Article in journal (Refereed) Published
Abstract [en]
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 alpha-Mg, Y2O3, Mg3Nd, Mg24Y5 and hcp-Zr. Phases alpha-Mg, Mg24Y5 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.
Place, publisher, year, edition, pages
MDPI AG , 2022. Vol. 15, no 2, article id 417
Keywords [en]
Powder Bed Fusion-Laser Beam (PBF-LB), magnesium alloys, WE43, biodegradable metals
National Category
Metallurgy and Metallic Materials Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:kth:diva-309817DOI: 10.3390/ma15020417ISI: 000758198600001PubMedID: 35057130Scopus ID: 2-s2.0-85122358047OAI: oai:DiVA.org:kth-309817DiVA, id: diva2:1644608
Note
QC 20220315
2022-03-152022-03-152024-07-04Bibliographically approved