Many additive manufacturing (AM) technologies rely on powder feedstock, which is fused to form the final part either by
melting or by chemical binding with subsequent sintering. In both cases, process stability and resulting part quality depend
on dynamic interactions between powder particles and a fluid phase, i.e., molten metal or liquid binder. The present work
proposes a versatile computational modeling framework for simulating such coupled microfluid-powder dynamics problems
involving thermo-capillary flow and reversible phase transitions. In particular, a liquid and a gas phase are interacting with a
solid phase that consists of a substrate and mobile powder particles while simultaneously considering temperature-dependent
surface tension and wetting effects. In case of laser–metal interactions, the effect of rapid evaporation is incorporated through
additional mechanical and thermal interface fluxes. All phase domains are spatially discretized using smoothed particle
hydrodynamics. The method’s Lagrangian nature is beneficial in the context of dynamically changing interface topologies
due to phase transitions and coupled microfluid-powder dynamics. Special care is taken in the formulation of phase transi-
tions, which is crucial for the robustness of the computational scheme. While the underlying model equations are of a very
general nature, the proposed framework is especially suitable for the mesoscale modeling of various AM processes. To this
end, the generality and robustness of the computational modeling framework is demonstrated by several application-motivated
examples representing the specific AM processes binder jetting, material jetting, directed energy deposition, and powder bed
fusion. Among others, it is shown how the dynamic impact of droplets in binder jetting or the evaporation-induced recoil pres-
sure in powder bed fusion leads to powder motion, distortion of the powder packing structure, and powder particle ejection.
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Many additive manufacturing (AM) technologies rely on powder feedstock, which is fused to form the final part either by
melting or by chemical binding with subsequent sintering. In both cases, process stability and resulting part quality depend
on dynamic interactions between powder particles and a fluid phase, i.e., molten metal or liquid binder. The present work
proposes a versatile computational modeling framework for simulating such coupled microfluid-powder dynamics problems
involving t...
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