Additive manufacturing of magnesium alloy using uniform droplet spraying: modeling of microstructure evolution
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Jaffar, Syed Murtaza | |
| dc.contributor.author | Kostoglou, Nikolaos | |
| dc.contributor.author | Fukuda, Hiroki | |
| dc.contributor.author | Rebholz, Claus | |
| dc.contributor.author | Ando, Teiichi | |
| dc.contributor.author | Liao, Yiliang | |
| dc.contributor.author | Doumanidis, Charalabos C. | |
| dc.date.accessioned | 2026-08-30T10:42:31Z | |
| dc.date.available | 2026-08-30T10:42:31Z | |
| dc.date.issued | 2021-06-01 | |
| dc.description.abstract | Abstract: In this study a material model is developed to predict the solidification microstructure of an additive-manufactured, fully dense magnesium (Mg) alloy using uniform droplet spraying (UDS). Specifically, the crystallite size distribution is simulated by a solidification model, consisting of a nucleation/fragmentation and a constrained growth description, calibrated via microstructural data from a single droplet splat. This is enabled by a semi-analytical thermal modeling framework, based on the superposition of moving Green’s and Rosenthal functions for the temperature field generated by a Gaussian source distribution. The model is implemented for layered ellipsoidal deposit sections on planar substrates by multi-pass spraying, and its predictions are validated against measured crystal sizes by image analysis of experimental micrographs of a Mg97ZnY2 alloy, to an error margin of ± 15%. The computationally efficient simulation provides insights to the deposit microstructure, and is intended as a process observer in a closed-loop, adaptive control scheme based on infrared temperature measurements. Graphic abstract: [Figure not available: see fulltext.] © 2021, The Author(s), under exclusive licence to The Materials Research Society. | |
| dc.description.version | Published | |
| dc.format.extent | 391 - 403 | |
| dc.identifier.citation | Jaffar, S.M., Kostoglou, N., Fukuda, H. et al. Additive manufacturing of magnesium alloy using uniform droplet spraying: modeling of microstructure evolution. MRS Advances 6, 391–403 (2021). https://doi.org/10.1557/s43580-021-00028-x | |
| dc.identifier.doi | 10.1557/s43580-021-00028-x | |
| dc.identifier.issn | 20598521 | |
| dc.identifier.other | 2-s2.0-85101751496 | |
| dc.identifier.uri | https://hdl.handle.net/10361/29617 | |
| dc.language.iso | en_US | |
| dc.publisher | Springer Nature | |
| dc.relation.hasversion | 10.1557/s43580-021-00028-x | |
| dc.relation.ispartof | MRS Advances | |
| dc.relation.ispartofseries | MRS Advances | |
| dc.relation.journal | MRS Advances | |
| dc.relation.uri | https://link.springer.com/article/10.1557/s43580-021-00028-x | |
| dc.rights | false | |
| dc.subject | Additive manufacturing | |
| dc.subject | Mg | |
| dc.subject | Microstructure | |
| dc.subject | Modeling | |
| dc.subject | Spray deposition | |
| dc.subject.lcsh | Manufacturing processes--Automation. | |
| dc.subject.lcsh | Magnesium alloys. | |
| dc.subject.lcsh | Metal spraying. | |
| dc.subject.lcsh | Microstructure--Mathematical models. | |
| dc.title | Additive manufacturing of magnesium alloy using uniform droplet spraying: modeling of microstructure evolution | |
| dc.type | Article | |
| oaire.citation.issue | 15 | |
| oaire.citation.volume | 6 | |
| person.affiliation.name | Khalifa University | |
| person.affiliation.name | Montanuniversitat Leoben | |
| person.affiliation.name | Fukuda Metal Foil & Powder Co., Ltd. | |
| person.affiliation.name | University of Cyprus | |
| person.affiliation.name | College of Engineering | |
| person.affiliation.name | College of Engineering | |
| person.affiliation.name | University College Dublin | |
| person.identifier.scopus-author-id | 57194902066 | |
| person.identifier.scopus-author-id | 56433385400 | |
| person.identifier.scopus-author-id | 36891138500 | |
| person.identifier.scopus-author-id | 6603737315 | |
| person.identifier.scopus-author-id | 57203075490 | |
| person.identifier.scopus-author-id | 55213731800 | |
| person.identifier.scopus-author-id | 7006526340 |