ICME framework to simulate microstructure evolution during laser powder bed fusion of Haynes 282 nickel-based superalloy

Hariharan, V.; Pramod, S.; Kesavan, D.; Dash, K.; Phanikumar, Gandham

doi:10.1007/s10853-022-07170-3

Cited by 15 publications

(9 citation statements)

References 68 publications

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“…The regions with the same contrast indicate that they belong to the same grain. It is clear that the cell spacing is close to 1 µm and agrees with the previously reported values [22]. To understand the solidification behaviour, the TEM-EDS map was taken and is shown in Fig.…”

Section: As-build Microstructuresupporting

confidence: 87%

“…The melt pool dimensions measured from the single track experiments in IN 718 alloy match closely with the calculated values [41]. Since the thermophysical properties of IN 718 and Haynes 282 are similar, the melt pool dimensions are also expected to be very close to each other [22]. Moreover, the EOS ® optimized process parameters for Haynes 282 and IN 718 alloys are the same [22].…”

Section: Thermal Modellingsupporting

confidence: 71%

“…The fabricated samples were dense with minimal defects. Further details on process parameter optimization can be found in our previous report [22]. The as-built samples were cut from the baseplate using an electric discharge machine (EDM).…”

Section: Experimental Methodsmentioning

confidence: 99%

“…This allows an efficient way of performing microstructure simulation while including most of the relevant physics. Calphad-coupled two-dimensional phase-field models have been used to predict microsegregation during welding [21] and additive manufacturing [22]. This model accounts for thermodynamic, diffusion and curvature effects thus leading to improved predictions compared to other models [17].…”

Section: Of 18mentioning

confidence: 99%

“…Solute diffusion is assumed to be finite in both solid and liquid. A domain size of 6 µm × 13 µm with a grid size of 10 nm is considered and other simulation parameters are the same as used in our previous study [22].…”

Section: Phase-field Modelmentioning

confidence: 99%

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Modelling Microsegregation during Metal Additive Manufacturing: Impact of Dendrite Tip Kinetics and Finite Solute Diffusion

Hariharan¹,

Baler²,

Raj³

et al. 2023

Preprint

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Rapid solidification during metal additive manufacturing (AM) leads to non-equilibrium microsegregation, which can result in the formation of detrimental phases and cracking. Most of the microsegregation models, assume a Scheil-type solidification, where the solidification interface is planar and there exists local equilibrium at the interface along with either zero or infinite solute diffusion in the respective participating phases - solid and liquid. This assumption leads to errors in prediction. One has to account for finite solute diffusion and the curvature at the dendritic tip for more accurate predictions. In this work, we compare different microsegregation models that do and do not consider finite diffusion and dendrite tip kinetics against the experiments. We also propose a method to couple dendrite tip kinetics with the diffusion module (DICTRA®) implemented in Thermo-Calc®. The models which accounted for both finite diffusion and dendrite tip kinetics matched well with the experimental data.

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Section: As-build Microstructuresupporting

confidence: 87%