Simulations of microstructure coupling with moving molten pool by selective laser melting using a cellular automaton

Alloys produced by the selective-laser-melting process have excellent mechanical properties and their microstructures are significantly different from conventional cast alloys. In this paper, a model for predicting alloy microstructure coupling with heat transfer and a moving molten pool was develop...

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Veröffentlicht in:Materials & design 2020-01, Vol.185, p.108230, Article 108230
Hauptverfasser: Ao, Xiaohui, Xia, Huanxiong, Liu, Jianhua, He, Qiyang
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Sprache:eng
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Zusammenfassung:Alloys produced by the selective-laser-melting process have excellent mechanical properties and their microstructures are significantly different from conventional cast alloys. In this paper, a model for predicting alloy microstructure coupling with heat transfer and a moving molten pool was developed using a cellular automata method, and the microstructure morphology and formation mechanism were numerically investigated. The growth kinetics of the solid/liquid interface is driven by the thermodynamic, composition and curvature undercooling, and the growth rate is computed by the Kurz-Giovanola-Trivedi model. The thermal history, cooling rate, molten pool, solidified track, grain growth, and undercooling were qualitatively analyzed by using the developed model. A complex dendritic growth mechanism including homogeneous and heterogeneous nucleations, competitive growth, and epitaxial growth was presented, and the effects of scanning speed, scanning spacing, and pre-heating temperature on the microstructure were examined. The results indicate that the cooling rate is approximately 105–106 K/s during the solidification, the equiaxed crystals increase with either increasing the pre-heating temperature or reducing the scanning speed. The epitaxial columnar grains become longer and narrower with increasing scanning spacing. [Display omitted] •A model for predicting alloy microstructure coupling with a moving molten pool was developed.•The thermal history, molten pool, and grain growth including competitive growth and epitaxial growth were simulated.•The effects of scanning speed, scanning spacing, and pre-heating temperature on the microstructure were numerically studied.
ISSN:0264-1275
DOI:10.1016/j.matdes.2019.108230