2019
DOI: 10.1088/1361-651x/ab3433
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Solidification simulation of direct energy deposition process by multi-phase field method coupled with thermal analysis

Abstract: The multi-phase field method coupled with the thermodynamics database of calculation of phase diagrams has been successfully applied to simulation of solidification microstructure evolutions in engineering casting processes. As multi-phase field method is based on the local (quasi-)equilibrium assumption in solidification theory [1], applying this method to solidification of additive manufacturing processes is not studied enough because of extremely large cooling rate and temperature gradient conditions. On th… Show more

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Cited by 3 publications
(2 citation statements)
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“…Many Finite Element Method (FEM) analyses have been performed to show the temporal temperature distributions around a moving laser spot [8][9][10]. Furthermore, Computational Fluid Dynamics (CFD) analyses have been performed to obtain not only the temperature distribution but also the fluid flow in the melt pool by considering the free surface affected by Marangoni convection.…”
Section: Introductionmentioning
confidence: 99%
“…Many Finite Element Method (FEM) analyses have been performed to show the temporal temperature distributions around a moving laser spot [8][9][10]. Furthermore, Computational Fluid Dynamics (CFD) analyses have been performed to obtain not only the temperature distribution but also the fluid flow in the melt pool by considering the free surface affected by Marangoni convection.…”
Section: Introductionmentioning
confidence: 99%
“…The present focus issue contains 25 original peer-reviewed papers, which show the very broad range of scales covered by the researches presented in MMM 2018. The major contributions are related to the Phase Field method [1-10] and Molecular Dynamics simulations [11][12][13][14] with the potential generation process [15], which have resolved the large-scaled crystallization [8,9], grain boundary migration [12], yielding of metals [16], and processing [3,5]. These fundamental phenomena need the huge length and time-scales.…”
mentioning
confidence: 99%