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Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model
Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model
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Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model
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Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model
Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model

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Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model
Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model
Journal Article

Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field model

2022
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Overview
In an effort to simulate the involved thermal physical effects that occur in Directed Energy Deposition (DED) a thermodynamically consistent phase-field method is developed. Two state parameters, characterizing phase change and consolidation, are used to allocate the proper material properties to each phase. The numerical transient solution is obtained via a finite element analysis. A set of experiments for single-track scanning were carried out to provide dimensional data of the deposited cladding lines. By relying on a regression analytical formulation to establish the link between process parameters and geometries of deposited layers from experiments, an activation of passive elements in the finite element discretization is considered. The single-track cladding of Inconel 625 powder on tempered steel 42CrMo4 was printed with different power, scanning speed, and feed rate to assess their effect on the morphology of the melt pool and the solidification cooling rate. The forecast capability of the developed model is assessed by comparison of the predicted dimensions of melt pools with experiments reported in the literature. In addition, this research correlated the used process parameter in the modeling of localized transient thermal with solidification parameters, namely, the thermal gradient ( G ) and the solidification rate ( R ). The numerical results report an inverse relationship between R with G , and microstructure transition from the planar to dendrite by moving from the boundary to the interior of melt pool, which agree well with experimental measurements.