GUNER, Ahmet, BIDARE, Prveen, JIMÉNEZ, Amaia, SHU, Chang, KOVACEV, Nikolina and ESSA, Khamis (2024). A numerical model for predicting powder characteristics in LMD considering particle interaction. Advanced Powder Technology, 35 (3): 104348. [Article]
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Bidare-NumericalModelPredicting(VoR).pdf - Published Version
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Abstract
In this work, a numerical model is proposed to analyze the influence of particle–particle interaction in
laser directed energy deposition or LMD (laser metal deposition) of CM247 Ni-based superalloy. The
model is based on the analysis of contact between particles and the potential agglomeration of powder
to predict powder conditions at the nozzle exit. Simulation results were experimentally validated and a
good agreement was observed. At the nozzle exit mainly large particles (>100 lm) are found and small
ones (<10 lm) tend to flow away from this region. This was also observed in the experimental PSD.
Additionally, based on the relative velocity of particles, simulations are able to predict the formation
of dents. In comparing virgin powder PSD and the one at the nozzle exit, it was observed that largest particles are collected at the exit. In order to explain this phenomena, particle agglomeration was analysed
numerically. It was seen that small particles tend to adhere to the big ones due to their higher adhesive
forces, which would explain the change in PSD.
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